SHA-256 Algorithmus – Verschlüsselung – BitcoinWiki

Ruby Quiz - Challenge #2 - Calculate the Bitcoin Genesis Block Hash (SHA-256)

Ruby Quiz - Challenge #2 - Calculate the Bitcoin Genesis Block Hash (SHA-256) submitted by geraldbauer to ruby [link] [comments]

SHA-256 hash calculator. Online SHA-256 hash generator. Mining Bitcoin

SHA-256 hash calculator. Online SHA-256 hash generator. Mining Bitcoin submitted by BitcoinAllBot to BitcoinAll [link] [comments]

10-23 09:37 - 'SHA-256 hash calculator. Online SHA-256 hash generator. Mining Bitcoin' ( by /u/elmojonestech removed from /r/Bitcoin within 277-282min

SHA-256 hash calculator. Online SHA-256 hash generator. Mining Bitcoin
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Author: elmojonestech
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ACIS-mining and its 3 best algorithms

ACIS-mining and its 3 best algorithms
Hello. 👋🏻 Today we will tell you about ACIS-mining and its 3 best algorithms.
📌 With the advent of ASICs for mining, it became possible to mine Bitcoin in much larger quantities than using video cards. ASIC is an integrated circuit specialized to solve a specific problem, in our case, only for bitcoin mining. These schemes are many times more profitable than video cards, because with more power (hash calculation speed) they consume much less energy. This served as a good reason to create a cryptocurrency mining business.
📌 In bitcoin and other blockchain systems, the complexity of mining depends on how quickly the miners find the block. Compared with the GPU and CPU, specialized #ASIC miners solve #PoW puzzles better and are therefore able to quickly find new blocks.
📌 Since PoW is still the preferred mining consensus mechanism, we propose to take a multiple algorithm approach. Instead of trying to use algorithms which are ASIC resistant, we propose to use algorithms which have had ASIC miners for quite some time. These are: #SHA256, #Scrypt, and #X11.
🔹 The SHA-256 algorithm has a number of advantages over other information protection technologies. Over the years of use in the cryptocurrency industry, he has shown his resistance to various hacking attempts.
🔹 Scrypt is a cryptocurrency mining algorithm that was previously interesting to many single miners in view of its resistance to the so-called “hardware attack”. The speed of creating blocks in a Scrypt-based blockchain is about 30 seconds. The hashrate, like Ethash, is measured in Megahash per second. Scrypt, first of all, became popular due to its use in Litecoin #cryptocurrency.
🔹 X11 is an encryption algorithm in which eleven are used instead of one function. This means that this technology can provide a high degree of security, because in order to harm the system, an attacker will have to crack all 11 functions, which is very unlikely, because the changes made will be visible after breaking the first function, and developers will have a lot of time to protect the system before the hacker reaches the eleventh function.
Since these miners are already in wide use, the distribution of mining should be fair and even. Furthermore, the use of three different algorithms results in a far less chance of any single person gaining a majority hash rate share. Lastly, we use the Multishield difficulty adjustment algorithm to prevent difficulty spike issues resulting from burst mining.
Read more about PYRK mining solutions here:
Read our Whitepaper to know more about the project:
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Can someone explain me in simple terms what exactly is "solving a hard mathematical problem" in relation to bitcoin miners?

I have read several blogs and several small books but none of the book could explain easily how does exactly a bitcoin generated. I know the following things:
  1. After every 10 minutes, a block is generated which contains all the transactions that happened since the last block got verified.
  2. All the miners try to verify the newly generated block. It's a hard mathematical problem which requires extensive computation. The miner which solves that problem gets 12.5 Btc in reward.
I am confused about that mathematical problem. What is that? Is it finding a key by brute force method for the newly generated hash of the newly generated block? Why is it so hard? Is it because the hash generated becomes longer and longer as the number of transactions have increased? Or is the hash generated contains all knowledge of the transaction since the first bitcoin generated?
Can some one explain me in simple terms? I want to make other people understand the value of bitcoin but get confused myself while explaining them.
P.S. I am a technical person and have no difficulty in understanding the mathematics.
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Review and Prospect of Crypto Economy-Development and Evolution of Consensus Mechanism (2)

Review and Prospect of Crypto Economy-Development and Evolution of Consensus Mechanism (2)
The consensus mechanism is one of the important elements of the blockchain and the core rule of the normal operation of the distributed ledger. It is mainly used to solve the trust problem between people and determine who is responsible for generating new blocks and maintaining the effective unification of the system in the blockchain system. Thus, it has become an everlasting research hot topic in blockchain.
This article starts with the concept and role of the consensus mechanism. First, it enables the reader to have a preliminary understanding of the consensus mechanism as a whole; then starting with the two armies and the Byzantine general problem, the evolution of the consensus mechanism is introduced in the order of the time when the consensus mechanism is proposed; Then, it briefly introduces the current mainstream consensus mechanism from three aspects of concept, working principle and representative project, and compares the advantages and disadvantages of the mainstream consensus mechanism; finally, it gives suggestions on how to choose a consensus mechanism for blockchain projects and pointed out the possibility of the future development of the consensus mechanism.
First, concept and function of the consensus mechanism
1.1 Concept: The core rules for the normal operation of distributed ledgers
1.2 Role: Solve the trust problem and decide the generation and maintenance of new blocks
1.2.1 Used to solve the trust problem between people
1.2.2 Used to decide who is responsible for generating new blocks and maintaining effective unity in the blockchain system
1.3 Mainstream model of consensus algorithm
Second, the origin of the consensus mechanism
2.1 The two armies and the Byzantine generals
2.1.1 The two armies problem
2.1.2 The Byzantine generals problem
2.2 Development history of consensus mechanism
2.2.1 Classification of consensus mechanism
2.2.2 Development frontier of consensus mechanism
Third, Common Consensus System
Fourth, Selection of consensus mechanism and summary of current situation
4.1 How to choose a consensus mechanism that suits you
4.1.1 Determine whether the final result is important
4.1.2 Determine how fast the application process needs to be
4.1.2 Determining the degree to which the application requires for decentralization
4.1.3 Determine whether the system can be terminated
4.1.4 Select a suitable consensus algorithm after weighing the advantages and disadvantages
4.2 Future development of consensus mechanism
Last lecture review: Chapter 1 Concept and Function of Consensus Mechanism plus Chapter 2 Origin of Consensus Mechanism
Chapter 3 Common Consensus Mechanisms (Part 1)
Figure 6 Summary of relatively mainstream consensus mechanisms
Source: Hasib Anwar, "Consensus Algorithms: The Root Of The Blockchain Technology"
The picture above shows 14 relatively mainstream consensus mechanisms summarized by a geek Hasib Anwar, including PoW (Proof of Work), PoS (Proof of Stake), DPoS (Delegated Proof of Stake), LPoS (Lease Proof of Stake), PoET ( Proof of Elapsed Time), PBFT (Practical Byzantine Fault Tolerance), SBFT (Simple Byzantine Fault Tolerance), DBFT (Delegated Byzantine Fault Tolerance), DAG (Directed Acyclic Graph), Proof-of-Activity (Proof of Activity), Proof-of- Importance (Proof of Importance), Proof-of-Capacity (Proof of Capacity), Proof-of-Burn ( Proof of Burn), Proof-of-Weight (Proof of Weight).
Next, we will mainly introduce and analyze the top ten consensus mechanisms of the current blockchain.
Work proof mechanism. That is, the proof of work means that it takes a certain amount of computer time to confirm the work.
Figure 7 PoW work proof principle
The PoW represented by Bitcoin uses the SHA-256 algorithm function, which is a 256-bit hash algorithm in the password hash function family:
Proof of work output = SHA256 (SHA256 (block header));
if (output of proof of work if (output of proof of work >= target value), change the random number, recursive i logic, continue to compare with the target value.
New difficulty value = old difficulty value* (time spent by last 2016 blocks /20160 minutes)
Target value = maximum target value / difficulty value
The maximum target value is a fixed number. If the last 2016 blocks took less than 20160 minutes, then this coefficient will be small, and the target value will be adjusted bigger, if not, the target value will be adjusted smaller. Bitcoin mining difficulty and block generation speed will be inversely proportional to the appropriate adjustment of block generation speed.
-Representative applications: BTC, etc.
Proof of stake. That is, a mechanism for reaching consensus based on the holding currency. The longer the currency is held, the greater the probability of getting a reward.
PoS implementation algorithm formula: hash(block_header) = Coin age calculation formula: coinage = number of coins * remaining usage time of coins
Among them, coinage means coin age, which means that the older the coin age, the easier it is to get answers. The calculation of the coin age is obtained by multiplying the coins owned by the miner by the remaining usage time of each coin, which also means that the more coins you have, the easier it is to get answers. In this way, pos solves the problem of wasting resources in pow, and miners cannot own 51% coins from the entire network, so it also solves the problem of 51% attacks.
-Representative applications: ETH, etc.
Delegated proof of stake. That is, currency holding investors select super nodes by voting to operate the entire network , similar to the people's congress system.
The DPOS algorithm is divided into two parts. Elect a group of block producers and schedule production.
Election: Only permanent nodes with the right to be elected can be elected, and ultimately only the top N witnesses can be elected. These N individuals must obtain more than 50% of the votes to be successfully elected. In addition, this list will be re-elected at regular intervals.
Scheduled production: Under normal circumstances, block producers take turns to generate a block every 3 seconds. Assuming that no producer misses his order, then the chain they produce is bound to be the longest chain. When a witness produces a block, a block needs to be generated every 2s. If the specified time is exceeded, the current witness will lose the right to produce and the right will be transferred to the next witness. Then the witness is not only unpaid, but also may lose his identity.
-Representative applications: EOS, etc.
Delayed proof of work. A new-generation consensus mechanism based on PoB and DPoS. Miners use their own computing power, through the hash algorithm, and finally prove their work, get the corresponding wood, wood is not tradable. After the wood has accumulated to a certain amount, you can go to the burning site to burn the wood. This can achieve a balance between computing power and mining rights.
In the DPoW-based blockchain, miners are no longer rewarded tokens, but "wood" that can be burned, burning wood. Miners use their own computing power, through the hash algorithm, and finally prove their work, get the corresponding wood, wood is not tradable. After the wood has accumulated to a certain amount, you can go to the burning site to burn the wood. Through a set of algorithms, people who burn more wood or BP or a group of BP can obtain the right to generate blocks in the next event segment, and get rewards (tokens) after successful block generation. Since more than one person may burn wood in a time period, the probability of producing blocks in the next time period is determined by the amount of wood burned by oneself. The more it is burned, the higher the probability of obtaining block rights in the next period.
Two node types: notary node and normal node.
The 64 notary nodes are elected by the stakeholders of the dPoW blockchain, and the notarized confirmed blocks can be added from the dPoW blockchain to the attached PoW blockchain. Once a block is added, the hash value of the block will be added to the Bitcoin transaction signed by 33 notary nodes, and a hash will be created to the dPow block record of the Bitcoin blockchain. This record has been notarized by most notary nodes in the network. In order to avoid wars on mining between notary nodes, and thereby reduce the efficiency of the network, Komodo designed a mining method that uses a polling mechanism. This method has two operating modes. In the "No Notary" (No Notary) mode, all network nodes can participate in mining, which is similar to the traditional PoW consensus mechanism. In the "Notaries Active" mode, network notaries use a significantly reduced network difficulty rate to mine. In the "Notary Public Activation" mode, each notary public is allowed to mine a block with its current difficulty, while other notary public nodes must use 10 times the difficulty of mining, and all normal nodes use 100 times the difficulty of the notary public node.
Figure 8 DPoW operation process without a notary node
-Representative applications: CelesOS, Komodo, etc.
CelesOS Research Institute丨DPoW consensus mechanism-combustible mining and voting
Practical Byzantine fault tolerance algorithm. That is, the complexity of the algorithm is reduced from exponential to polynomial level, making the Byzantine fault-tolerant algorithm feasible in practical system applications.
Figure 9 PBFT algorithm principle
First, the client sends a request to the master node to call the service operation, and then the master node broadcasts other copies of the request. All copies execute the request and send the result back to the client. The client needs to wait for f+1 different replica nodes to return the same result as the final result of the entire operation.
Two qualifications: 1. All nodes must be deterministic. That is to say, the results of the operation must be the same under the same conditions and parameters. 2. All nodes must start from the same status. Under these two limited qualifications, even if there are failed replica nodes, the PBFT algorithm agrees on the total order of execution of all non-failed replica nodes, thereby ensuring security.
-Representative applications: Tendermint Consensus, etc.
Next Lecture: Chapter 3 Common Consensus Mechanisms (Part 2) + Chapter 4 Consensus Mechanism Selection and Status Summary
As the first DPOW financial blockchain operating system, CelesOS adopts consensus mechanism 3.0 to break through the "impossible triangle", which can provide high TPS while also allowing for decentralization. Committed to creating a financial blockchain operating system that embraces supervision, providing services for financial institutions and the development of applications on the supervision chain, and formulating a role and consensus ecological supervision layer agreement for supervision.
The CelesOS team is dedicated to building a bridge between blockchain and regulatory agencies/financial industry. We believe that only blockchain technology that cooperates with regulators will have a real future. We believe in and contribute to achieving this goal.

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Yay hashrate is now over 50PH/s which is pretty amazing
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How to Create Your Own Cryptocurrency Using Python 2020

A blockchain is a public database that irreversibly documents and authenticates the possession and transmission of digital assets. Digital currencies, like Bitcoin and Ethereum, are based on this concept. Blockchain is an exciting technology that you can use to transform the capabilities of your applications.
Of late, we’ve been seeing governments, organizations, and individuals using the blockchain technology to create their own cryptocurrencies—and avoid being left behind. Notably, when Facebook proposed its own cryptocurrency, called Libra, the announcement stirred many waters across the world.

What if you could also follow suit and create your own version of a cryptocurrency?

I thought about this and decided to develop an algorithm that creates a crypto.
I decided to call the cryptocurrency fccCoin.
In this tutorial, I’m going to illustrate the step-by-step process I used to build the digital currency (I used the object-oriented concepts of the Python programming language).
Here is the basic blueprint of the blockchain algorithm for creating the fccCoin:
class Block: def __init__(): #first block class pass def calculate_hash(): #calculates the cryptographic hash of every block class BlockChain: def __init__(self): # constructor method pass def construct_genesis(self): # constructs the initial block pass def construct_block(self, proof_no, prev_hash): # constructs a new block and adds it to the chain pass u/staticmethod def check_validity(): # checks whether the blockchain is valid pass def new_data(self, sender, recipient, quantity): # adds a new transaction to the data of the transactions pass u/staticmethod def construct_proof_of_work(prev_proof): # protects the blockchain from attack pass u/property def last_block(self): # returns the last block in the chain return self.chain[-1]
Now, let me explain what is taking place…
1. Building the first Block class A blockchain comprises of several blocks that are joined to each other (that sounds familiar, right?).
The chaining of blocks takes place such that if one block is tampered with, the rest of the chain becomes invalid.
In applying the above concept, I created the following initial block class
import hashlib import time class Block: def __init__(self, index, proof_no, prev_hash, data, timestamp=None): self.index = index self.proof_no = proof_no self.prev_hash = prev_hash = data self.timestamp = timestamp or time.time() u/property def calculate_hash(self): block_of_string = “{}{}{}{}{}”.format(self.index, self.proof_no, self.prev_hash,, self.timestamp) return hashlib.sha256(block_of_string.encode()).hexdigest() def __repr__(self): return “{} – {} – {} – {} – {}”.format(self.index, self.proof_no, self.prev_hash,, self.timestamp)
As you can see from the code above, I defined the __init__() function, which will be executed when the Block class is being initiated, just like in any other Python class.
I provided the following parameters to the initiation function:
self—this refers to the instance of the Block class, making it possible to access the methods and attributes associated with the class; index—this keeps track of the position of the block within the blockchain; proof_no—this is the number produced during the creation of a new block (called mining); prev_hash—this refers to the hash of the previous block within the chain; data—this gives a record of all transactions completed, such as the quantity bought; timestamp—this places a timestamp for the transactions. The second method in the class, calculate_hash, will generate the hash of the blocks using the above values. The SHA-256 module is imported into the project to assist in obtaining the hashes of the blocks.
After the values have been inputted into the cryptographic hash algorithm, the function will return a 256-bit string representing the contents of the block.
This is how security is achieved in blockchains—every block will have a hash and that hash will rely on the hash of the previous block.
As such, if someone tries to compromise any block in the chain, the other blocks will have invalid hashes, leading to disruption of the entire blockchain network.
Ultimately, a block will look like this:
{ “index”: 2, “proof”: 21, “prev_hash”: “6e27587e8a27d6fe376d4fd9b4edc96c8890346579e5cbf558252b24a8257823”, “transactions”: [ {‘sender’: ‘0’, ‘recipient’: ‘Quincy Larson’, ‘quantity’: 1} ], “timestamp”: 1521646442.4096143 }
2. Building the Blockchain class The main idea of a blockchain, just as the name implies, involves “chaining” several blocks to one another.
Therefore, I’m going to construct a Blockchain class that will be useful in managing the workings of the whole chain. This is where most of the action is going to take place.
The Blockchain class will have various helper methods for completing various tasks in the blockchain.
Let me explain the role of each of the methods in the class.
a. Constructor method This method ensures the blockchain is instantiated.
class BlockChain: def __init__(self): self.chain = [] self.current_data = [] self.nodes = set() self.construct_genesis()
Here are the roles of its attributes:
b. Constructing the genesis block The blockchain requires a construct_genesis method to build the initial block in the chain. In the blockchain convention, this block is special because it symbolizes the start of the blockchain.
In this case, let’s construct it by simply passing some default values to the construct_block method.
I gave both proof_no and prev_hash a value of zero, although you can provide any value you want.
def construct_genesis(self): self.construct_block(proof_no=0, prev_hash=0) def construct_block(self, proof_no, prev_hash): block = Block( index=len(self.chain), proof_no=proof_no, prev_hash=prev_hash, data=self.current_data) self.current_data = [] self.chain.append(block) return block
c. Constructing new blocks
The construct_block method is used for creating new blocks in the blockchain.
Here is what is taking place with the various attributes of this method:
d. Checking validity
The check_validity method is important in assessing the integrity of the blockchain and ensuring anomalies are absent.
As mentioned earlier, hashes are essential for the security of the blockchain as even the slightest change in the object will lead to the generation of a completely new hash.
Therefore, this check_validity method uses if statements to check whether the hash of every block is correct.
It also verifies if every block points to the right previous block, through comparing the value of their hashes. If everything is correct, it returns true; otherwise, it returns false.
u/staticmethod def check_validity(block, prev_block): if prev_block.index + 1 != block.index: return False elif prev_block.calculate_hash != block.prev_hash: return False elif not BlockChain.verifying_proof(block.proof_no, prev_block.proof_no): return False elif block.timestamp <= prev_block.timestamp: return False return True
e. Adding data of transactions
The new_data method is used for adding the data of transactions to a block. It’s a very simple method: it accepts three parameters (sender’s details, receiver’s details, and quantity) and append the transaction data to self.current_data list.
Anytime a new block is created, this list is allocated to that block and reset once more as explained in the construct_block method.
Once the transaction data has been added to the list, the index of the next block to be created is returned.
This index is calculated by adding 1 to the index of the current block (which is the last in the blockchain). The data will assist a user in submitting the transaction in future.
def new_data(self, sender, recipient, quantity): self.current_data.append({ ‘sender’: sender, ‘recipient’: recipient, ‘quantity’: quantity }) return True
f. Adding proof of work
Proof of work is a concept that prevents the blockchain from abuse. Simply, its objective is to identify a number that solves a problem after a certain amount of computing work is done.
If the difficulty level of identifying the number is high, it discourages spamming and tampering with the blockchain.
In this case, we’ll use a simple algorithm that discourages people from mining blocks or creating blocks easily.
u/staticmethod def proof_of_work(last_proof): ”’this simple algorithm identifies a number f’ such that hash(ff’) contain 4 leading zeroes f is the previous f’ f’ is the new proof ”’ proof_no = 0 while BlockChain.verifying_proof(proof_no, last_proof) is False: proof_no += 1 return proof_no u/staticmethod def verifying_proof(last_proof, proof): #verifying the proof: does hash(last_proof, proof) contain 4 leading zeroes? guess = f'{last_proof}{proof}’.encode() guess_hash = hashlib.sha256(guess).hexdigest() return guess_hash[:4] == “0000”
g. Getting the last block
Lastly, the latest_block method is a helper method that assists in obtaining the last block in the blockchain. Remember that the last block is actually the current block in the chain.
u/property def latest_block(self): return self.chain[-1]
Let’s sum everything together
Here is the entire code for creating the fccCoin cryptocurrency.
You can also get the code on this GitHub repository.
import hashlib import time class Block: def __init__(self, index, proof_no, prev_hash, data, timestamp=None): self.index = index self.proof_no = proof_no self.prev_hash = prev_hash = data self.timestamp = timestamp or time.time() u/property def calculate_hash(self): block_of_string = “{}{}{}{}{}”.format(self.index, self.proof_no, self.prev_hash,, self.timestamp) return hashlib.sha256(block_of_string.encode()).hexdigest() def __repr__(self): return “{} – {} – {} – {} – {}”.format(self.index, self.proof_no, self.prev_hash,, self.timestamp) class BlockChain: def __init__(self): self.chain = [] self.current_data = [] self.nodes = set() self.construct_genesis() def construct_genesis(self): self.construct_block(proof_no=0, prev_hash=0) def construct_block(self, proof_no, prev_hash): block = Block( index=len(self.chain), proof_no=proof_no, prev_hash=prev_hash, data=self.current_data) self.current_data = [] self.chain.append(block) return block u/staticmethod def check_validity(block, prev_block): if prev_block.index + 1 != block.index: return False elif prev_block.calculate_hash != block.prev_hash: return False elif not BlockChain.verifying_proof(block.proof_no, prev_block.proof_no): return False elif block.timestamp <= prev_block.timestamp: return False return True def new_data(self, sender, recipient, quantity): self.current_data.append({ ‘sender’: sender, ‘recipient’: recipient, ‘quantity’: quantity }) return True u/staticmethod def proof_of_work(last_proof): ”’this simple algorithm identifies a number f’ such that hash(ff’) contain 4 leading zeroes f is the previous f’ f’ is the new proof ”’ proof_no = 0 while BlockChain.verifying_proof(proof_no, last_proof) is False: proof_no += 1 return proof_no u/staticmethod def verifying_proof(last_proof, proof): #verifying the proof: does hash(last_proof, proof) contain 4 leading zeroes? guess = f'{last_proof}{proof}’.encode() guess_hash = hashlib.sha256(guess).hexdigest() return guess_hash[:4] == “0000” u/property def latest_block(self): return self.chain[-1] def block_mining(self, details_miner): self.new_data( sender=”0″, #it implies that this node has created a new block receiver=details_miner, quantity= 1, #creating a new block (or identifying the proof number) is awarded with 1 ) last_block = self.latest_block last_proof_no = last_block.proof_no proof_no = self.proof_of_work(last_proof_no) last_hash = last_block.calculate_hash block = self.construct_block(proof_no, last_hash) return vars(block) def create_node(self, address): self.nodes.add(address) return True u/staticmethod def obtain_block_object(block_data): #obtains block object from the block data return Block( block_data[‘index’], block_data[‘proof_no’], block_data[‘prev_hash’], block_data[‘data’], timestamp=block_data[‘timestamp’])
Now, let’s test our code to see if it works.
blockchain = BlockChain() print(“***Mining fccCoin about to start***”) print(blockchain.chain) last_block = blockchain.latest_block last_proof_no = last_block.proof_no proof_no = blockchain.proof_of_work(last_proof_no) blockchain.new_data( sender=”0″, #it implies that this node has created a new block recipient=”Quincy Larson”, #let’s send Quincy some coins! quantity= 1, #creating a new block (or identifying the proof number) is awarded with 1 ) last_hash = last_block.calculate_hash block = blockchain.construct_block(proof_no, last_hash) print(“***Mining fccCoin has been successful***”) print(blockchain.chain)
It worked!
Here is the output of the mining process:
***Mining fccCoin about to start*** [0 – 0 – 0 – [] – 1566930640.2707076] ***Mining fccCoin has been successful*** [0 – 0 – 0 – [] – 1566930640.2707076, 1 – 88914 – a8d45cb77cddeac750a9439d629f394da442672e56edfe05827b5e41f4ba0138 – [{‘sender’: ‘0’, ‘recipient’: ‘Quincy Larson’, ‘quantity’: 1}] – 1566930640.5363243]
There you have it!
That’s how you could create your own blockchain using Python.
Let me say that this tutorial just demonstrates the basic concepts for getting your feet wet in the innovative blockchain technology.
If this coin were deployed as-is, it could not meet the present market demands for a stable, secure, and easy-to-use cryptocurrency.
Therefore, it can still be improved by adding additional features to enhance its capabilities for mining and sending financial transactions.
Nonetheless, it’s a good starting point if you decide to make your name known in the amazing world of cryptos.
If you have any comments or questions, please post them below.
Happy (crypto) coding!
Source: Cryptoors
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The 8 Skills to Be a Good Miner

Many people may feel quite confused about their low profit now. Maybe you forget to think about the small details when you are mining. Small little details will make big difference in your final income.
Now, i want to share you the 8 skills to improve your benefits.
1, Get a cheaper power
Everyone knows the power is the most charge in mining, if we can find a cheaper electricity, it will be good. So, how to get a cheaper electricity?
55% of the mining is in China, and 40% of the mining is in Sichuan China. Why? Because there are many hydroelectric power station in there. So, you can find a place near the station and get a cheaper electricity from them.
If you can find free electricity, it is the best anyway
2, Choose low w/t machine
As you know, low comsuption machine is very popular those days, like S17 pro 53t, T17 42t. They are 7nm technical, the w/t is low and it can even overclock, it maybe a good choice. Also, we need to consider the price of machine.
Cheap price machine means fast ROI, But low W/T machine has a bright future.
3, Buy miner when BTC begin to raise after long drop
When BTC price keep falling, of course the machine will be cheaper and cheaper. When the BTC price begin to raise, we can buy miner at that time, because the price is the cheapset and you can earn money back soon.
Normally at that time, the good machine will be sold out quickly, when the market feedback that those machine are good, you may be late to get the chance. So, make your plan for purchasing before, when price down, get them.
4, Do not forget BCH, BSV, ZEN coin
Do remember SHA-256 Algorithm can mining BCH and BSV as well. Sometimes those coin may get even a better profits than BTC.
Some miner has auto setting for BTC, but you can choose BSV and BCH mining if you set it,
5, Notice the half reward period information
Because the half reward time is coming in 2020, there will be a chance or a risk for it. Many low hashrate machine may be out of the style and high hashrate will be more competitive.
Low your risk and not to buy those cheap machine now
6, Choose a good future crypto currency
There are many coins in this field now, we need to analyse and find a better direction for mining. Like Z11, many people use it for ZEN mining nowadays, and their benefits is top now.
Also, people buy many S17, it can earn money back before next year half reward time. And they believe the BTC price will increase creazily as last two times.
7, Make plan for your selling of coin or machine
As you know, the price of the BTC changes everytime, we can mining the BTC first and keep it in hand, do not sell it every day. It is very stupid. Just sell it when price high, you do not need to take any risk if you do not buy BTC directy. We do not need to care about the low price situation, we only need to wait. When chance come, get it.
Same for machine
8. Don't be fooled by the mining calculator
Many sites calculate mining profits based on hardware and electricity prices. If you've never mined before, you might be happy to see the numbers provided by these websites and calculators and think, "I'll make a fortune!"
However, these websites don't tell you: in addition to the cost of electricity, there may be other current costs, such as maintenance, cooling, rent, labor, etc. Generally, the hash rate and power consumption of the device are slightly different from what the factory says.
This difference is more common in unpopular brands. You can better understand the actual hash rate and the actual power consumption by watching the miner test video on YouTube. In addition, depending on the distance from the meter to the device and the type of cable used, the power loss from the meter to the device can be as high as 200 watts.
In addition to the cost of mining machines, some initial costs are required to prepare the infrastructure, such as cooling and venting, cabling and distribution, shelves, network and monitoring equipment, safety measures, etc.
The network difficulty is constantly changing and increasing at a significant speed, which directly affects the mining revenue. You can check the bitcoin network difficulty chart to see its growth rate, but your miner will not always be 100% active.
Due to maintenance, network problems, ore pool problems, power problems and many other problems, the miner may be offline for several hours. I suggest that you consider setting the normal operation time of the miner to less than 97% when calculating. We have rich mining experience in professional ore pools, and the normal operation time of these mining machines will not exceed 97-98%.
Thats all, hope those information will help you become a good mining investor.
submitted by 15Ansel to BitcoinMining [link] [comments]

Waltonchain adds GNU General Public License details to code - BUT does the code contain this?

Waltonchain adds GNU General Public License details to code - BUT does the code contain this?
Dear Crypto community,
Yesterday we saw Waltonchain release their Open Source code which resulted in huge criticism regarding the oversight of removing the original copyright to the original codebase, Ethereum Go, on which it is based.
Following this, the team have now updated the code to show the original copyright:
Image from Github

I'd like to say thank you to the community for having such strong opinion on this matter, and for all the subreddit admins that assisted in creating clarity toward this. As a global community we should hold every blockchain up to the same standards, and I am grateful that this was shown in regard to the GNU General Public License.

Now that the issue is resolved, and since Waltonchain is currently a hot topic, I implore all the coders and devs out there to delve deep into the code to see exactly what Waltonchain have released. Not just the modification to the eth codebase, but the additional code. What does the code allow?

What we've been told as a community is that the Waltonchain source code has changes that allows for:
  • Security - DASH X11 - Most cryptographic algorithms used in cryptocurrencies use only one hash function for calculation. There are 11 of them in X11, which provides a higher degree of protection against hackers and scams. Waltonchain has customised the DASH X11 hashing algorithm to fit their purpose.
  • More secure than Bitcoin. The Bitcoin algorithm is SHA-256 is based on a previous secure hash algorithm family of standards, namely SHA-2, the hash functions within the X11 algorithm all successfully made it into the second-round in search for a new, more secure standard — SHA-3. Keccak, the function which won the competition and is therefore the new standard on which SHA-3 is based on, can at the very least be considered more secure that SHA-256.
  • Efficiency — Waltonchain have produced ASICs with the equivalent hashing power of 200GPUs (32–40kW) whilst using only 135W, thus helping the parent chain become decentralised
  • PoS aspect works in tandem with PoW, in that it adds a reduced difficulty based on number of coins held and time between blocks. Effectively the longer coins are held and the longer the time between blocks, the lower the difficulty for mining blocks. This again enhances the power efficiency of the network in its entirety.
  • Fast cross-chain searching via Proof of Labour —PoL enables hash values or indices from sub-chains (child chains) to be synced with the parent chain in a ‘cross chain index mechanism’ to enable fast searches for data via the parent chain.
  • Scalibility — Unlimited scalibility due to child chains; each CC is an independent blockchain (or DAG) using its own consensus mechanism (PoS, PoA, PoW, PoeT, etc) and can store data within itself. The parent chain by nature therefore cannot become bloated.
  • Atomic Swaps — PoL by nature ensures a record of every inter-chain transaction is held, and allows the function of atomic swaps between currencies.

Also to note is that the code has been audited by Knownsec, the same company that audited projects like HPB and NANO.

Lets have an open dialogue and talk about these features of the code - but firstly, do they exist? Hopefully people will approach this with the same enthusiasm as they did yesterday.

EDIT 1st June: A user on the Waltonchain sub has done an analysis which by the looks of it, disproves the initial assessment by many of the 'blockchain experts' in cc that have said the open source code is simply a copy and paste .
It is interesting to see just how much people love to hate Waltonchain that they spread misinformation either intentionally, or unintentionally, and that it gets the most attention out of any announcement.

For reference:
Block explorer: (all wallets, mining wallet, documentation etc is available via that link)
submitted by Yayowam to CryptoCurrency [link] [comments]

Can Bitcoin miners be used to discover private keys?

They say it's impossible to brute-force a private key, but what are the actual chances? What if 1% of the miners diverted their efforts to crack the keys of the wallets with the largest balances? Miners hash, and Bitcoin private keys are hashes, right? So what's to prevent ASIC miners from cracking a private key? (Joined reddit for the first time just to ask this question)
submitted by jtpatriot to Bitcoin [link] [comments]

What is the math behind mining bitcoins?

What math does the computer do exactly to mine bitcoins? How do they make it to be harder and harder to mine and calculate so that you always end up needing more processing power? Why was it once relatively easy and now it is almost impossible to do decent mining with a desktop computer?
submitted by DarinHristov to askscience [link] [comments]

How many qubits would it take to break Bitcoins SHA 256 bit encryption?

Where are we at? 512 qubit computer ... But these are low quality qubits mainly due to issues with sufficient isolation from our universe, getting clear readings, and speeding up the gates. Also Dwave computers are currently limited in a way that supposedly does not have the capability for encryption cracking
If the qubits worked optimally how much does it take to break existing encryption? 2048-bit RSA requires roughly 4096 qubits while a quantum computer to break the equivalently secure 224-bit Elliptic Curve Cryptography requires between 1300 and 1600 qubits Yes this is not bitcoins 256 bit, nor the same math, but its the closest information I could reasonably find.
The NSA is preparing to make a computer that can crack any currently used difficult encryption except types that are quantum protected like the new Lattice encryption. When the NSA is done it will be able to crack Bitcions SHA256 private keys using the public. Right now they are currently working with a 2 qubit computer to do testing before the production implementation
Remember those /bitcoin frontpage posts about how cracking bitcoin would require a computer the size of the universe? Check out this excerpt about a 300 qubit computer "The projected performance of this new experimental quantum simulator eclipses the current maximum capacity of any known computer by an astonishing 10 to the power of 80. That is 1 followed by 80 zeros, in other words 80 orders of magnitude, a truly mind-boggling scale," Dr Michael Biercuk, at the University of Sydney, said. "[It] has the potential to perform calculations that would require a supercomputer larger than the size of the known universe - and it does it all in a diameter of less than a millimetre.
Adding to alarm is that quantum computers double in their ability to calculate with every qubit. In general, a quantum computer with n qubits can be in an arbitrary superposition of up to 2n different states simultaneously To build more powerful quantum computers, though is currently restrained by the quality of the qubit. If you read the timeline of quantum computing advancements you will see progress is being made on this at a decent pace though. Once we have a clean method down, the multidimensional sky is the limit.
Yes the rest of the banking industry is also largely vulnerable if such a quantum computer was made, as they also use common public key encryption.
Another caveat is that bitcoin uses 2 encryption methods. SHA256 for mining. Elliptic Curve for relating the pubic keys and private keys.
Ok so, that is what related information I could find.
Yes I realize there is plenty of material written about how bitcoin code can be updated, or other reasons quantum computers are not a concern, but the point here is that the community needs to know about when this risk will happen and be prepared. It could be sooner or further away than we expected and everyone's finances should not be caught off guard. This post is about when bitcoin should expect a risk, not gauging the risk (unless it is zero)
submitted by imkharn to Bitcoin [link] [comments]

Got this in my inbox a couple of minutes back

A new user sent me this to my inbox, its a description of the events after the fork, with a signed message at the bottom. I've gone through it once but its very late here in my timezone, have to go through it again tomorrow. I'm sure I'm not the the only receipient, but just in case pinging some people here.

*** EDIT 2 ***
Before you continue. From the Bitcoin whitepaper:
" The system is secure as long as honest nodes collectively control more CPU power than any cooperating group of attacker nodes."

*** EDIT ***
Ok, I have slept over this.
How big is the chance that these two events, the sigop tx spamming of the network and the intended theft of funds stuck in segwit by an unknown miner, were coordinated and not coincidential? I slept over this message and am wondering if that was one two-phased plan and even this message was planned (probably a bit different but it was adapted afterwards to the new situation, that's why the first half of it is such a mess to read) to spread fear after the two plans got foiled.

The plan consisted of various Acts
Act 1) Distract and spam the network with sigop transactions that exploit a bug to cause distraction and halt all BCH transaction volume. The mempool would become filled with unconfirmed transactions
Act 2) When a patch is deployed, start your mining pool and mine the hell out of it to quickly create a legitimate block. They prepared the theft transactions and would hide them in the (predicted) massive mempool of unconfirmed transactions that would have been accumulated. They would mine a big block, everyone would be so happy that BCH works again, and devs would be busy looking for sigop transactions.
Act 3) Hope that the chain gets locked in via checkpoint so the theft cannot be reverted
Act 4) Leak to the media that plenty of BCH were stolen after the fork and the ABC client is so faulty it caused a halt of the network after the upgrade
Act 5) Make a shitload of money by shorting BCH (there was news about a appearance of a big short position right after the fork)

But the people who planned this attack have underestimated the awareness and speed of the BCH dev team. They were probably sure that Act 1 would take hours or even days so the mempool would be extremely bloated (maybe they speculated that everyone paniced and wanted to get out of BCH) and Act 2 would consequently be successful because no one would spot their theft transactions quick enough.

But they didn't calculate that someone is working together with various BCH pools in precaution to prevent exactly this scenario (segwit theft) and even prepared transactions to move all locked coins back to their owners.

Prohashings orphaned block was likely unpredicted collateral damage as Jonathan suggests below, because they were not involved in the plan of the two pools who prepared to return the segwit coins. I'm guessing that the pools did not expect a miner with an attacking theft block that early and had to decide quickly what to do when they spotted it.

So now that both plans have been foiled, Plan B) is coming into place again. Guerrilla style fear mongering about how BCH is not decentralized. Spread this info secretly in the community with the proof in form of a signed message connected to the transactions. Of course, the attacker worked actually alone, attacked us for our own good, and will do so again, because the evil dictatorship devs have to be eradicated....

As an unwanted side effect of these events the and "partnership" has been exposed. So what do we do with this new revelation is a question that we probably have to discuss.

They worked together with someone who wanted to return the segwit coins and avoided a theft. They used their combined hashing dominance to avoid a theft. I applaud them for that. From a moral perspective this is defendable and my suspicion that we have more backing for BCH than you can see with your eye by following hash rate charts is now being revealed as true again.

But the dilemma BCH has is revealed again as well. we need more of the SHA-256 hash rate cake because we actually do not want that any entity in this space has more than 50% hash power.

*** EDIT 2 ***
Added Satoshi's quote from the whitepaper.
submitted by grmpfpff to btc [link] [comments]

CODE FUD: Resolved.

Dear Waltonchain community,
Yesterday we saw Waltonchain release their Open Source code which resulted in huge criticism regarding the oversight of removing the original copyright to the original codebase, Ethereum Go, on which it is based.
Following this, the team have now updated the code to show the original copyright:

I'd like to say thank you to the community for having such strong opinion on this matter, and for all the subreddit admins that assisted in creating clarity toward this. As a global community we should hold every blockchain up to the same standards, and I am grateful that this was shown in regard to the GNU General Public License.

Now that the issue is resolved, and since Waltonchain is currently a hot topic, I implore all the coders and devs out there to delve deep into the code to see exactly what Waltonchain have released. Not just the modification to the eth codebase, but the additional code. What does the code allow?

What we've been told as a community is that the Waltonchain source code has changes that allows for:

Also to note is that the code has been audited by Knownsec, the same company that audited projects like HPB and NANO.

Lets have an open dialogue and talk about these features of the code - but firstly, do they exist? Hopefully people will approach this with the same enthusiasm as they did yesterday.

For reference:
Block explorer: (all wallets, mining wallet, documentation etc is available via that link)
submitted by Yayowam to waltonchain [link] [comments]

It's been a while, so let's do things a bit differently. [Update & Draw #32]

If you're looking for the winner, please check to see if there's a stickied comment on this post.

Hello, I'm your newest mod, lilfruini, and I thought it's been a while since we did a drawing.
Will you be doing drawings as they've been done before? I'm not going to perform the drawing as before, but I have my reasons. First, I'm not able to use Amazon Web Services, which seems to be a prerequisite for using the drawing source code. Second, I am not a good coder at all, this subreddit was my first experience with using Python, which makes yet another obstacle.
To make up for my shortcomings, though, I want to share the files I used on Dropbox. You can see every comment ID indexed, the SHA-256 hash to confirm I haven't tampered with the list, and I included the Python file used to download the comments, with PRAW.
How will you select a MakingMillionaire this time? Well, instead of choosing a date and a time, instead, I'll be pre-selecting a block from the Bitcoin Cash blockchain. The block's hash will be used to determine the winner. I made an effort to have the hash come near the third of each Friday, and to make sure the blocks are a factor of 250, to ensure consistency. However, this means the time held for drawings will vary greatly.
Anyway, which block will we be using?

BLOCK #539750

When the block is mined, you will be able to see the returning hash here:
How will we know you aren't some deceiving scum? Well, like before, I will still use the SHA-256 of the IDs combined. I also made sure to check if the list of IDs were consistent by checking the SHA-256 of each group of text, to ensure information is constant. You can see this for yourself in the Dropbox folder.
In addition, I WILL NOT EDIT THIS POST! (excluding ninja edits) That means, to check the winner of the drawing, see the future stickied comment. This is to ensure I do not change the SHA-256 hash of any texts.
This means everything will run smoothly, right? Well, not exactly. I have the entirety of the comment IDs of the 32nd Thread, but I said before that I'm not a good coder by any means. I will have to figure out how to use hashlib or OpenSSL in order to hash the numbers and retrieve the winning index. If you're investigative, you may also notice that the folder, "Files used for Hash", is incomplete. This is intentional, but once I figure out how to calculate a winning index, I will upload the necessary files to the folder.
On the subject of that, if anyone knows how to replicate retrieving the winning index of past drawings through Python or any other means, please PM me.
Also, I cannot guarantee this by any means, but I may, MAY livestream the release of Block #539750 on my Twitch channel,
This livestream, however, may be done through a phone, as I don't feel prepared to download screen-capturing software on my laptop.
Thank you for your patience! It's literally been a year since the last post was made, but now I feel prepared, despite some flaws. If you have any questions, or have the need to say something, please comment.
Also, I'd like to give special credit to TyrSniper from /AskProgrammers for guiding me with using Python. This post may have not been made in the first place without his coding help.
Information Used For Drawing #32:
Dropbox Folder: SHA-256 (from and 95af6c340986b59dd40a8b597859c980f1b8710f5155d7b8a035f212d6093ef6 Word Document with every ID indexed: Text File of Every Comment ID (Python actions removed): Text File of Every Comment ID (revised, with repeats removed): Block 539750: Total Participants: 35,704 
So, in a few days, we'll be making a millionaire. Get excited! or don't, I guess...
submitted by lilfruini to millionairemakers [link] [comments]

block confirmation rules

First time, long time here...I love bitcoin. I used to mine around 2013 on my gtx480, earned enough to play some satoshi dice every couple days, just to play until i lost it all. honestly, it was fun at the time. One day I had enough and just zipped it into password-i-can-no-longer-remember file and the rest is history. my latest foray into bitcoin has since focused on the keeping-them-secure side of things. (love that trezor). Anyway, here's the question-
How would one manually calculate the hash-- using a sha-256 calculator, or something of that ilk -- in order to confirm the work of the latest block?
My understanding is that the header with all the transactions and such is hashed with a nonce in order to get a hashed value under a certain amount of zero's, depending on network difficulty. Therefore, all anyone needs to do is compute the the header hash for themselves and confirm the hash number (along with the obvious other rules of ensuring all TX's have enough balance, coinbase fee is per protocol, etc.)
This all could be nonsense, I have zero programming knowledge.
submitted by jabdrw15a to Bitcoin [link] [comments]

Is Crypto Currency truly at risk due to Quantum Computers, and what can you do about it?

Is Crypto Currency truly at risk due to Quantum Computers, and what can you do about it?

There is no denying that the Quantum revolution is coming. Security protocols for the internet, banking, telecommunications, etc... are all at risk, and your Bitcoins (and alt-cryptos) are next!
This article is not really about quantum computers[i], but, rather, how they will affect the future of cryptocurrency, and what steps a smart investor will take. Since this is a complicated subject, my intention is to provide just enough relevant information without being too “techy.”

The Quantum Evolution

In 1982, Nobel winning physicist, Richard Feynman, hypothesized how quantum computers[ii] would be used in modern life.
Just one year later, Apple released the “Apple Lisa”[iii] – a home computer with a 7.89MHz processor and a whopping 5MB hard drive, and, if you enjoy nostalgia, it used 5.25in floppy disks.
Today, we walk around with portable devices that are thousands of times more powerful, and, yet, our modern day computers still work in a simple manner, with simple math, and simple operators[iv]. They now just do it so fast and efficient that we forget what’s happening behind the scenes.
No doubt, the human race is accelerating at a remarkable speed, and we’ve become obsessed with quantifying everything - from the everyday details of life to the entire universe[v]. Not only do we know how to precisely measure elementary particles, we also know how to control their actions!
Yet, even with all this advancement, modern computers cannot “crack” cryptocurrencies without the use of a great deal more computing power, and since it’s more than the planet can currently supply, it could take millions, if not billions, of years.
However, what current computers can’t do, quantum computers can!
So, how can something that was conceptualized in the 1980’s, and, as of yet, has no practical application, compromise cryptocurrencies and take over Bitcoin?
To best answer this question, let’s begin by looking at a bitcoin address.

What exactly is a Bitcoin address?

Well, in layman terms, a Bitcoin address is used to send and receive Bitcoins, and looking a bit closer (excuse the pun), it has two parts:[vi]
A public key that is openly shared with the world to accept payments. A public key that is derived from the private key. The private key is made up of 256 bits of information in a (hopefully) random order. This 256 bit code is 64 characters long (in the range of 0-9/a-f) and further compressed into a 52 character code (using RIPEMD-160).
NOTE: Although many people talk about Bitcoin encryption, Bitcoin does not use Encryption. Instead, Bitcoin uses a hashing algorithm (for more info, please see endnote below[vii]).
Now, back to understanding the private key:
The Bitcoin address “1EHNa6Q4Jz2uvNExL497mE43ikXhwF6kZm” translates to a private key of “5HpHagT65TZzG1PH3CSu63k8DbpvD8s5ip4nEB3kEsreAnchuDf” which further translates to a 256 bit private key of “0000000000000000000000000000000000000000000000000000000000000001” (this should go without saying, but do not use this address/private key because it was compromised long ago.) Although there are a few more calculations that go behind the scenes, these are the most relevant details.
Now, to access a Bitcoin address, you first need the private key, and from this private key, the public key is derived. With current computers, it’s classically impractical to attempt to find a private key based on a public key. Simply put, you need the private key to know the public key.
However, it has already been theorized (and technically proven) that due to private key compression, multiple private keys can be used to access the same public key (aka address). This means that your Bitcoin address has multiple private keys associated with it, and, if someone accidentally discovers or “cracks” any one of those private keys, they have access to all the funds in that specific address.
There is even a pool of a few dedicated people hunting for these potential overlaps[viii], and they are, in fact, getting very efficient at it. The creator of the pool also has a website listing every possible Bitcoin private key/address in existence[ix], and, as of this writing, the pool averages 204 trillion keys per day!
But wait! Before you get scared and start panic selling, the probability of finding a Bitcoin address containing funds (or even being used) is highly unlikely – nevertheless, still possible!
However, the more Bitcoin users, the more likely a “collision” (finding overlapping private/public key pairs)! You see, the security of a Bitcoin address is simply based on large numbers! How large? Well, according to my math, 1.157920892373x1077 potential private keys exist (that number represents over 9,500 digits in length! For some perspective, this entire article contains just over 14,000 characters. Therefore, the total number of Bitcoin addresses is so great that the probability of finding an active address with funds is infinitesimal.

So, how do Quantum Computers present a threat?

At this point, you might be thinking, “How can a quantum computer defeat this overwhelming number of possibilities?” Well, to put it simple; Superposition and Entanglement[x].
Superposition allows a quantum bit (qbit) to be in multiple states at the same time. Entanglement allows an observer to know the measurement of a particle in any location in the universe. If you have ever heard Einstein’s quote, “Spooky Action at a Distance,” he was talking about Entanglement!
To give you an idea of how this works, imagine how efficient you would be if you could make your coffee, drive your car, and walk your dog all at the same time, while also knowing the temperature of your coffee before drinking, the current maintenance requirements for your car, and even what your dog is thinking! In a nutshell, quantum computers have the ability to process and analyze countless bits of information simultaneously – and so fast, and in such a different way, that no human mind can comprehend!
At this stage, it is estimated that the Bitcoin address hash algorithm will be defeated by quantum computers before 2028 (and quite possibly much sooner)! The NSA has even stated that the SHA256 hash algorithm (the same hash algorithm that Bitcoin uses) is no longer considered secure, and, as a result, the NSA has now moved to new hashing techniques, and that was in 2016! Prior to that, in 2014, the NSA also invested a large amount of money in a research program called “Penetrating Hard Targets project”[xi] which was used for further Quantum Computer study and how to break “strong encryption and hashing algorithms.” Does NSA know something they’re not saying or are they just preemptively preparing?
Nonetheless, before long, we will be in a post-quantum cryptography world where quantum computers can crack crypto addresses and take all the funds in any wallet.

What are Bitcoin core developers doing about this threat?

Well, as of now, absolutely nothing. Quantum computers are not considered a threat by Bitcoin developers nor by most of the crypto-community. I’m sure when the time comes, Bitcoin core developers will implement a new cryptographic algorithm that all future addresses/transactions will utilize. However, will this happen before post-quantum cryptography[xii]?
Moreover, even after new cryptographic implementation, what about all the old addresses? Well, if your address has been actively used on the network (sending funds), it will be in imminent danger of a quantum attack. Therefore, everyone who is holding funds in an old address will need to send their funds to a new address (using a quantum safe crypto-format). If you think network congestion is a problem now, just wait…
Additionally, there is the potential that the transition to a new hashing algorithm will require a hard fork (a soft fork may also suffice), and this could result in a serious problem because there should not be multiple copies of the same blockchain/ledger. If one fork gets attacked, the address on the other fork is also compromised. As a side-note, the blockchain Nebulas[xiii] will have the ability to modify the base blockchain software without any forks. This includes adding new and more secure hashing algorithms over time! Nebulas is due to be released in 2018.

Who would want to attack Bitcoin?

Bitcoin and cryptocurrency represent a threat to the controlling financial system of our modern economy. Entire countries have outright banned cryptocurrency[xiv] and even arrested people[xv], and while discrediting it, some countries are copying cryptocurrency to use (and control) in their economy[xvi]!
Furthermore, Visa[xvii], Mastercard[xviii], Discover[xix], and most banks act like they want nothing to do with cryptocurrency, all the while seeing the potential of blockchain technology and developing their own[xx]. Just like any disruptive technology, Bitcoin and cryptocurrencies have their fair share of enemies!
As of now, quantum computers are being developed by some of the largest companies in the world, as well as private government agencies.
No doubt, we will see a post-quantum cryptography world sooner than most realize. By that point, who knows how long “3 letter agencies” will have been using quantum technology - and what they’ll be capable of!

What can we do to protect ourselves today?

Of course, the best option is to start looking at how Bitcoin can implement new cryptographic features immediately, but it will take time, and we have seen how slow the process can be just for scaling[xxi].
The other thing we can do is use a Bitcoin address only once for outgoing transactions. When quantum computers attack Bitcoin (and other crypto currencies), their first target will be addresses that have outgoing transactions on the blockchain that contain funds.
This is due to the fact that when computers first attempt to crack a Bitcoin address, the starting point is when a transaction becomes public. In other words, when the transaction is first signed – a signed transaction is a digital signature derived from the private key, and it validates the transaction on the network. Compared to classical computers, quantum computers can exponentially extrapolate this information.
Initially, Bitcoin Core Software might provide some level of protection because it only uses an address once, and then sends the remaining balance (if any) to another address in your keypool. However, third party Bitcoin wallets can and do use an address multiple times for outgoing transactions. For instance, this could be a big problem for users that accept donations (if they don’t update their donation address every time they remove funds). The biggest downside to Bitcoin Core Software is the amount of hard-drive space required, as well as diligently retaining an up-to-date copy of the entire blockchain ledger.
Nonetheless, as quantum computers evolve, they will inevitably render SHA256 vulnerable, and although this will be one of the first hash algorithms cracked by quantum computers, it won’t be the last!

Are any cryptocurrencies planning for the post-quantum cryptography world?

Yes, indeed, there are! Here is a short list of ones you may want to know more about:

Full disclosure:

Although I am in no way associated with any project listed above, I do hold coins in all as well as Bitcoin, Litecoin and many others.
The thoughts above are based on my personal research, but I make no claims to being a quantum scientist or cryptographer. So, don’t take my word for anything. Instead, do your own research and draw your own conclusions. I’ve included many references below, but there are many more to explore.
In conclusion, the intention of this article is not to create fear or panic, nor any other negative effects. It is simply to educate. If you see an error in any of my statements, please, politely, let me know, and I will do my best to update the error.
Thanks for reading!


[i] – A great video explaining quantum computers.
[ii] - A brief history of quantum computing.
[iii] - More than you would ever want to know about the Apple Lisa.
[iv] - Want to learn more about computer science? Here is a great crash course for it!
[v] - What does quantify mean?
[vi] - More info about Bitcoin private keys.
[vii] - A good example of the deference between Hash and Encryption
[viii] - The Large Bitcoin Collider.
[ix] - A list of every possible Bitcoin private key. This website is a clever way of converting the 64 character uncompressed key to the private key 128 at a time. Since it is impossible to save all this data in a database and search, it is not considered a threat! It’s equated with looking for a single needle on the entire planet.
[x] – Brief overview of Superposition and Entanglement.
[xi] – A review of the Penetrating Hard Targets project.
[xii] - Explains post-quantum cryptography.
[xiii] - The nebulas project has some amazing technology planned in their roadmap. They are currently in testnet stage with initial launch expected taking place in a few weeks. If you don’t know about Nebulas, you should check them out. [xiv] - Country’s stance on crypto currencies.
[xv] - Don’t be a miner in Venezuela!
[xvi] - Russia’s plan for their own crypto currency.
[xvii] - Recent attack from visa against crypto currency.
[xviii] - Mastercards position about Bitcoin.
[xix] - Discovers position about Bitcoin.
[xx] - Mastercard is making their own blockchain.
[xxi] - News about Bitcoin capacity. Not a lot of news…
[xxii] - IOTA and quantum encryption.
[xxiii] - The whitepaper of Winternitz One-Time Signature Scheme
[xxiv] - The Cardano project roadmap.
[xxv] - More about the BLISS hash system.
[xxvi] - Home of the Ethereum project.
[xxvii] – SHA3 hash algorithm vs quantum computers.
[xxviii] - Lamport signature information.
[xxix] - Home of the Quantum Resistant Ledger project.
submitted by satoshibytes to CryptoCurrency [link] [comments]

Bitcoin ABC's "parked blocks" feature allows minority hashrate attackers to cause a permanent chain split with high probability.

In November, Bitcoin ABC introduced "auto-finalization" and "parked blocks" functionality in order to mitigate the risk of 51% attacks.
Roughly, the way auto-finalization works is that after receiving a new block, a node will look back ten blocks prior and mark that previous block as finalized, which means that the node will not reorg past that point without manual intervention. This prevents attackers from double spending with large reorgs, and thus provides some protection for exchanges and the like.
The parked blocks functionality is intended to prevent against medium-length reorgs by adding a proof of work penalty. Specifically, a 4+ block reorg requires double the PoW; a 1 or 2 block reorg requires an extra 1/2 blocks' worth of PoW, and a 3 block reorg requires an extra blocks' worth of PoW. These are approximations, because of BCH's DAA which changes each block, but you can find this implemented in FindMostWorkChain() in validation.cpp.
When these changes were added, there was some discussion on btc about how auto-finalization could lead to chain splits because an attacker could mine a 10 block secret chain and broadcast it right at the perfect time that the honest network has broadcast its 10th block from the fork point; however, this is a difficult attack to pull off, and the parked blocks functionality actually makes it such that the attacker would need to mine more like 20 blocks secretly (approximately, because of the DAA), which makes it nearly impossible.
However, I did not see significant discussion regarding the implications of the parked block functionality itself, and the negative way in which it interacts with auto-finalization. Here is my attempt to rectify that, by presenting an attack that could cause chain splits with moderate probability even for attackers with minority hash rate.

1) Somehow force a soft-split with the parked chain.
2) Make sure that the soft split continues until both sides finalize a block on their side of the split (possibly via balancing hashpower on both sides of the soft split).
More specifically:
1) Mine 3 blocks before the honest network mines three blocks, and broadcast block 3 when you detect honest block 3 has been broadcast.
2) Mine such that the difficulty/work condition is fulfilled (see step 2 below regarding lowering the difficulty): block1 + 1/2*priv2 + 1/2*pub2 > pub4 + priv4. If this condition isn't met, the attacker can just try to win the split from the next step and get 3-4 block rewards
3) Ensure that each side of the soft split mines block 4 before the other side mines block 5, moving into the double-PoW penalty phase. This may require withholding blocks temporarily if "too far ahead", such that there is a 3vs3 split. Since this could happen, it improves our probability of success compared to the calculations below.
4) Mine at the tip of whichever chain is behind, such that neither side reorgs before finalizing a block on their side of the split. That is, each side must mine 7 blocks w/o being reorg'd. (Must mine 1 before the other mines 4, or 2 before 8, etc.)
--Analysis is for step 4 is complicated and thus omitted below, but this is likely to succeed, and extremely likely to succeed if the network is split close to evenly or if the attacker has substantial hash power.

Let x = attacker hash rate; y = main chain hash rate after soft split; z = alt/"attack" chain hash rate after soft split.
-----STEP 1-------------
--Start by assuming the attacker has just mined a block and keeps it secret; then they must win 2 blocks before the honest chain wins 3
--There are 6 possible ways to win: AA, AHA, HAA, AHHA, HHAA, HAHA (A = attacker block; H = honest block.)
Pr[success] = x^2 + 2*x^2*(1-x) + 3*x^2*(1-x)^2
x = 1/20 1.4%
x = 1/10 5.23%
x = 1/4 26.17%
x = 1/3 40.74%
x = 1/2 68.75%
x = 3/5 82.08%
------STEP 2---------------
Ideally, the 4th block for both chains will be of the proper difficulty that would prevent either chain from being reorged by seeing that 4th block, in which case the soft split should persist. This occurs if the following conditions are met:
1) In order to prevent the 4th honest block from reorging our 3 private blocks, we need: privChainWork + 1/2*(privBlock1work + privBlock2work) > mainChainWork
2) In order to prevent the 4th attack block from reorging the 3 public blocks, we need: mainChainWork + 1/2*(pubBlock1work + pubBlock2work) > privChainWork
Note that pubBlock1work == privBlock1work in all cases. Some algebra:
Condition 1 priv1 + priv2 + priv3 + 1/2*priv1 + 1/2*priv2 > pub1 + pub2 + pub3 + pub4
Condition 2 pub1 + pub2 + pub3 + 1/2*pub1 + 1/2*pub2 > priv1 + priv2 + priv3 + priv4
priv1 + priv2 + priv3 > pub1 + pub2 + pub3 + pub4 - (1/2*priv1 + 1/2*priv2)
pub1 + pub2 + pub3 > priv1 + priv2 + priv3 + priv4 - (1/2*pub1 + 1/2*pub2)
pub1 + pub2 + pub3 > pub1 + pub2 + pub3 + pub4 - (1/2*priv1 + 1/2*priv2) + priv4 - (1/2*pub1 + 1/2*pub2)
0 > pub4 + priv4 - (1/2*priv1 + 1/2*priv2) - (1/2*pub1 + 1/2*pub2)
(1/2*priv1 + 1/2*priv2) + (1/2*pub1 + 1/2*pub2) > pub4 + priv4
block1 + 1/2*priv2 + 1/2*pub2 > pub4 + priv4
This is extremely likely if the difficulty is decreasing, which can happen on the private chain by mining blocks with future timestamps, and is likely on the main chain as well, since it will have less hashpower than before the fork point.
------STEP 3------------------------
--What is the probability that both chains mine block 4 before the other mines block 5?
--Assume both chains have 3 blocks already and the attacker has no secret blocks. If the attacker successfully mined block 4 already, our chances would be higher, so this is an underestimate.
--The chance of success depends on how much hash is on each side, which we don't know. Here we analyze two possibilities:
1) y = z (attacker's best case);
2) y = 3z (1/4 of the honest hash is on one side, 3/4 on the other)
--For case 1, assume the miner simply shuts off until one side wins a block, and then immediately mines the other side. They could also pick a side to start with, but we ignore that possibility. For case 2, we assume the attacker mines on the minority chain until a block is mined, and switches if the minority chain wins the first block.
Case 1:
Pr[success] = x + z = x + y
x = 1/20 52.5%
x = 1/10 55%
x = 1/4 62.5%
x = 1/3 66.67%
x = 1/2 75%
x = 3/5 80%
Case 2:
Pr[success] = (x+z)*(x+y) + y*(x+z) = x^2 + 2xy + 2yz + xz
x = 1/20 42.41%
x = 1/10 47.13%
x = 1/4 60.16%
x = 1/3 66.67%%
x = 1/2 78.13%
x = 3/5 84%
-----END STEP 3---------------------

EXAMPLE: Attacker has x fraction of the hash rate, and if he successfully finishes step 1, we assume that the difficulty works out in step 2 about half the time (probably a significant underestimate). Assume that each step is independent (not true, and causes an underestimate of success probability). Assume that the soft split that results splits the hash power 3 to 1, as in case 2 above. What is the probability of getting to the final step of the attack? How many initial blocks can the attacker expect to throw out before succeeding, and how long should this take given their hash rate?
x = 1/20 0.3% 334 blocks thrown out, 6680 blocks total, 46.4 days
x = 1/10 1.23% 82 blocks thrown out, 820 blocks total, 5.7 days
x = 1/4 7.87% 13 blocks thrown out, 52 blocks total, 8.7 hours
x = 1/3 13.58% 8 blocks thrown out, 24 blocks total, 4 hours
x = 1/2 26.86% 4 blocks thrown out, 8 blocks total, 1.3 hours
x = 3/5 34.47% 3 blocks thrown out, 5 blocks total, < 1 hour

There are tradeoffs between protecting against chain-split attacks and protecting against deep reorgs, and a chain like that of BCH, with minority SHA-256 hashrate, must tread carefully. However, I think I have demonstrated here that there isn't a tradeoff when you have both parked blocks AND auto-finalization - the security assumption of "everything is fine if majority hashrate is honest" is no longer true, because a 33% attacker can cause a far worse outcome than a deep reorg.
That said, unlike with 51% attacks, this particular attack is one that isn't as likely to be profitable for the attacker financially, so it may not be exploited by random Internet bad guys. Also, it would require some more complicated software and is less likely to succeed without some amount of network intelligence, like knowing which nodes are miners or exchanges to target. However, it CAN still be profitable in a number of ways: shorting BCH, low-conf double spends, and/or the possible selfish mining profits that could accrue from a failure at some step of this strategy.
Timejacking may be useful to smooth over some of the parts of the attack by making sure that a timejacked node will view a block as valid/invalid when the rest of the network doesn't, via timestamp manipulation. This can buy the attacker a little bit of time, and "shape" the network such that he knows which side of the split his targets may be on. Furthermore, if the attacker fails to split the network somewhat evenly, then he can ignore the minority side of the fork and immediately start trying again on the majority side, in an attempt to cause a 3-way split.
Finally, while you may believe that this attack is improbable, the prevailing wisdom of this sub is that a super powerful cabal of bankers will stop at nothing to destroy Bitcoin Cash (operating via their alleged proxy, Blockstream), and since a well-resourced attacker should be able to pull this attack off, I believe y'all should be more concerned than you have been. My recommendation is to remove the parked block functionality from ABC entirely, and accept the risk of medium-length reorgs.
submitted by iwantfreebitcoin to btc [link] [comments]

Some information for new comers

I am by no means an expert. I have only been mining with Hashflare for 2 weeks now, but here are some things to know if you are new here.
  1. Your used to instant satisfaction. This is not that. There are delays at the moment with all aspects from payment processing for buying hash rate to withdrawing btc to your wallet. Please expect this. Use some patience. You will see this sub overloaded with why didn't X happen immediately. Dont be that guy.
  2. We are not financial advisers. We cannot tell you if mining with Hashflare is a good or bad choice. That has to be decided for yourself. The general rule is that you should only invest what your willing to lose. Mining bitcoin is a volatile investment. It should be treated as such.
  3. No one here can help you with your trouble tickets with Hashflare. See item #1.
  4. In my experience so far, Hashflare is legit. I get my daily payouts and I am re-investing them daily and watching my hash rate grow. Posts here about how you feel Hashflare is a scam, help no one. They do no good. The folks here that have decided to invest will not be swayed by your post. Dont be that guy.
  5. Please dont spam your affiliate link code. It can only be used for new sign ups and is of no use to most of the people here. It just makes you look like a douche. There are even folks on here trying to trick folks into using their affiliate code. Dont be a douche. Dont be that guy.
Other than that, this community is growing and tons of members here are happy to answer questions. I am in it for the long haul. Lets all be decent to each other and try to make some of that sweet sweet crypto currency.
Edit #1 for formatting and grammar.
Edit #2: Resources:
submitted by lonelliott to hashflare [link] [comments]

Now that we've had a few 8MB blocks, let's dispel this centralisation myth once and for all.


Firstly, I'm just a Bitcoin enthusiast who is getting tired of the notion that BTC is some censorship-resistant bastion of decentralisation and BCH is not due to its larger blocks.
The data below is publicly available and I've tried to include sources, so if there are any errors in my work or findings, please share them below and I'll update this post.
Edit: zcc0nonA has provided a brief write-up describing what decentralisation actually is in the comments below which is well worth a read.
The bulk of the calculation is done assuming assuming 5MB blocks (~36tx/sec), which is a healthy capacity for BCH currently (if miners consistently mine 4MB < 8MB blocks) and what BTC was averaging before the holidays.
If there are any other factors which I've missed out, please let me know and ideally provide some data.


Almost the simplest argument to refute is the storage problem:
5MB blocks * 6 blocks/hr = 30MB/hr
30MB/hr = ~22GB/month = ~263GB/year
Current avg. price for a 4TB HDD is ~$150 [source]
4TB (~3.8TB usable) / 263GB = ~14 years of 5MB blocks


The bandwidth issue is slightly more complex, since full nodes will download the blockchain (which increases in proportion to blocksize), but their main network function is to upload/share data with the network.
With this in mind, I've found a source for data usage on a typical node for both BCH and BTC, and fortunately the past 6 hours have seen several 8MB blocks so the data should be representative.
We can leave the additional rx bandwidth from the larger blocksize out of the equation since this will correlate roughly to the capacity calculation above.
In those 6 hours the BTC node sent ~8.3GB of network related data, whereas the BCH node sent 3.6GB.
The transaction volume/second for that period appears to roughly match up to the data ratio (2.3:1, BTC:BCH) so that would suggest that this figure increases based on network adoption/transaction volume, rather than being influenced by blocksize.


83.39% of the current 1288 nodes on the BCH chain are running Bitcoin ABC [source]
87.26% of the current 10124 nodes on the BTC chain are running Bitcoin Core [source]
Both projects are open source, but commit access is limited to a few individuals in both cases so this is the area where both could improve the most.


This is the easiest argument to dispel, since both chains use the SHA-256 hashing algorithm which means they can both use the same mining pools and hardware.
Edit: LexGrom has also added that the development of a fee market is not only bad for for users, but small miners as well. This is because they have to pay fees on their withdrawals from their respective pools.
This creates a market which favours larger miners, since small miners cannot claim their funds until they reach a threshold high enough that they can withdraw and spend.


He's a man who likes Bitcoin and wants it to succeed, not the king of BCH. The personal attacks on this guy are signs of weak arguments and true trolls. This also goes for arguments around China, Jihan, or CSW since they tend to rest on an ad-hominem (ad-countrinem?) foundations too.


Not only is BCH not centralised, but it's actually about as decentralised as BTC, if not more so. (I haven't even mentioned Blockstream and their relationship with the Core devs). Larger blocks do not significantly impact a regular users ability to run a full node, and in fact the main barrier will be bandwidth used (tx) for either chain as adoption increases.
The arguments against raising blocksize seem to disappear the moment one examines the data more closely, except for one:
If Bitcoin scales on-chain it will remain censorship-resistant and largely decentralised, which is exactly the opposite of what governments want, but was exactly the goal of the original project.
submitted by thegreatmcmeek to btc [link] [comments] - How does the security of different Proof-of-Work blockchains compare to Bitcoin?
Original post in Bitcoin here:

How are these values calculated?

It's easy to compare blockchain hashrates when the Proof-of-Work algorithm is the same. For example if Bitcoin has a hashrate of SHA-256 @ 40 PH/s and Bitcoin Cash has a hashrate of SHA-256 @ 2 PH/s, it's easy to see that for a given period of time the Bitcoin blockchain will have 20x (40/2) the amount of work securing it than the Bitcoin Cash blockchain. Or to say that differently, you need to wait for 20x more Bitcoin Cash confirmations before an equivalent amount of work has been done compared to the Bitcoin blockchain. So 6 Bitcoin confirmations would be roughly equivalent to 120 Bitcoin Cash confirmations in the amount of work done.
However if the Proof-of-Work algorithms are different, how can we compare the hashrate? If we're comparing Bitcoin (SHA-256 @ 40 PH/s) against Litecoin (Scrypt @ 300 TH/s), the hashes aren't equal, one round of SHA-256 is not equivalent to one round of Scrypt.
What we really want to know is how much energy is being consumed to provide the current hash rate. Literal energy, as in joules or kilowatt hours. It would be great if we had a universal metric across blockchains like kWh/s to measure immutability.
However that's fairly hard to calculate, we need to know the average power consumption of the average device used to mine. For GPU/CPU mined Proof-of-Work algorithms this varies greatly. For ASIC mined Proof-of-Work algorithms it varies less, however it's likely that ASIC manufacturers are mining with next generation hardware long before the public is made aware of them, which we can't account for.
There's no automated way to get this data and no reliable data source to scrape it from. We'd need to manually research all mining hardware and collate the data ourself. And as soon as newer mining hardware comes out our results will be outdated.
Is there a simpler way to get an estimated amount of work per blockchain in a single metric we can use for comparisons?
Yeah, there is, we can use NiceHash prices to estimate the cost in $ to secure a blockchain for a given timeframe. This is directly comparable across blockchains and should be directly proportionate to kWh/s, because after all, the energy needs to be paid for in $.
How can we estimate this?
Now we have an estimated total Proof-of-Work metric measured in dollars per second ($/s).
The $/s metric may not be that accurate. Miners will mark up the cost when reselling on NiceHash and we're making the assumption that NiceHash supply is infinite. You can't actually rent 100% of Bitcoin's hashpower from NiceHash, there isn't enough supply.
However that's not really an issue for this metric, we aren't trying to calculate the theoretical cost to rent an additional 100% of the hashrate, we're trying to get a figure that allows us to compare the cost of the current total hashrate accross blockchains. Even if the exact $ value we end up with is not that accurate, it should still be proportionate to kWh/s. This means it's still an accurate metric to compare the difference in work done over a given amount of time between blockchains.
So how do we compare these values between blockchains?
Once we've done the above calculations and got a $/s cost for each blockchain, we just need to factor in the average block time and calculate the total $ cost for a given number of confirmations. Then see how much time is required on the other blockchain at it's $/s value to equal the total cost.
So to calculate how many Litecoin confirmations are equivalent to 6 Bitcoin confirmations we would do:
Therefore we can say that 240 Litecoin confirmations are roughly equal to 6 Bitcoin confirmations in total amount of work done.


$/s doesn't mean what it sounds like it means.

The $/s values should not be taken as literal costs.
For example:
This is does not mean you could do a 51% attack on Bitcoin and roll back 6 blocks for a cost of $360,000. An attack like that would be much more expensive.
The $/s value is a metric to compare the amount of work at the current hashrate between blockchains. It is not the same as the cost to add hashrate to the network.
When adding hashrate to a network the cost will not scale linearly with hashrate. It will jump suddenly at certain intervals.
For example, once you've used up the available hashrate on NiceHash you need to add the costs of purchasing ASICs, then once you've bought all the ASICs in the world, you'd need to add the costs of fabricating your own chips to keep increasing hashrate.

These metrics are measuring "work done", not security.

More "work done" doesn't necessarily mean "more security".
For example take the following two blockchains:
Bitcoin Cash has a higher $/s value than Zcash so we can deduce it has more "work done" over a given timeframe than Zcash. More kWh/s are required to secure it's blockchain. However does that really mean it's safer?
Zcash is the dominant blockchain for it's Proof-of-Work algorithm (Equihash). Whereas Bitcoin Cash isn't, it uses the same algorithm as Bitcoin. In fact just 5% of Bitcoin's hashrate is equivalent to all of Bitcoin Cash's hashrate.
This means the cost of a 51% attack against Bitcoin Cash could actually be much lower than a 51% attack against Zcash, even though you need to aquire more kWh/s of work, the cost to aquire those kWh/s will likely be lower.
To attack Bitcoin Cash you don't need to acquire any hardware, you just need to convince 5% of the Bitcoin hashrate to lend their SHA-256 hashpower to you.
To attack Zcash, you would likely need to fabricate your own Equihash ASICs, as almost all the Equihash mining hardware in the world is already securing Zcash.

Accurately calculating security is much more complicated.

These metrics give a good estimated value to compare the hashrate accross different Proof-of-Work blockchains.
However to calculate if a payment can be considered "finalised" involves many more variables.
You should factor in:
If the cryptocurrency doesn't dominate the Proof-of-Work it can be attacked more cheaply.
If the market cap or trading volume is really low, an attacker may crash the price of the currency before they can successfully double spend it and make a profit. Although that's more relevant in the context of exchanges rather than individuals accepting payments.
If the value of the transaction is low enough, it may cost more to double spend than an attacker would profit from the double spend.
Ultimately, once the cost of a double spend becomes higher than an attacker can expect to profit from the double spend, that is when a payment can probably be considered "finalised".
submitted by dyslexiccoder to CryptoCurrency [link] [comments]

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