Blockchain, which is basically a digital ledger that stores information about transactions in an immutable way, has recently gained popularity because of Bitcoin.
Blockchain technology utilizes distributed ledgers to create a public record of every transaction that has ever occurred with the currency.
This allows for transactions to be verified more efficiently without requiring a centralized authority or server.
However, not all blockchain systems are created equal. There are many different types of consensus algorithms that are used to verify these transactions.
With the hype around Bitcoin and blockchain rapidly increasing, it’s important to know what consensus algorithms are. Consensus algorithms are protocols designed for achieving agreement among distributed systems.
The goal of these algorithms is to make sure that all nodes in a network agree on the same data.
This is necessary because any system with multiple nodes has the potential for disagreement about data. When this happens, it can lead to errors in data processing or even system downtime.
What is Consensus Algorithm in Blockchain?
A consensus algorithm is a way to achieve agreement on something, typically in a distributed system that is called a smart contract.
This proof of work process is used by cryptocurrencies like Bitcoin to create new blocks or updates.
It’s also used to reach agreement among nodes on the blockchain. There are many different algorithms that can be used for consensus, and each has its strengths and weaknesses.
A few examples of common consensus algorithms are proof-of-work, proof-of-stake, proof-of-elapsed time, etc.
How to Categorizing consensus Algorithm?
In the following list, we are going to see the consensus Algorithm categories and also see which are the highly implemented consensus Algorithm in blockchain technology.
1. Proof of Work
2. Proof of Stack
3. Proof of History
Following consensus, algorithms are a combination of multiple Algorithms or single-use that makes the blockchain work very secure but complex.
1. Chain-based Proof of Stake (includes LPoS, Proof of Importance)
2. Proof of Burn (shares some characteristics with chain-based Proof of Stake)
3. Hybrid models: Proof of Activity and hybrid PoW/PoS
4. PBFT and BFT-based Proof of Stake (includes PBFT, Ouroboros, Byteball, and DPoS)
5. Proof of Capacity/Space
6. DAGs or DPoS-like algorithm, (except IOTA, which uses PoW)
7. Trusted computing algorithms (e.g. PoET)
Who created a Highly used Consensus Algorithm?
A consensus algorithm is a way to get one or more computers to agree on the same data, without having to go through an outsider.
This is important because it’s tedious and can be expensive for participants in the computation, especially if the participants are spread across large distances.
The most common algorithms are distributed algorithms named after their creators:
1. Byzantine Fault Tolerance - designed by Leslie Lamport
2. Paxos - designed by Leslie Lamport
3. Raft - designed by Zookeeper
4. Proof of work - created by Satoshi Nakamoto
5. Proof of stake - created by Vlad Zamfir
What is Proof of Work?
A consensus algorithm is a way for nodes in a distributed system to come to an agreement about the data they hold.
There are many different types of consensus algorithms, but the most popular and well-known of these algorithms is called “proof-of-work”.
This algorithm serves as the foundation for Bitcoin and other cryptocurrencies. However, we will be focusing on Paxos, an algorithm that was developed specifically to provide high availability and reliability.
It also has the advantage of being able to process more than one request at a time.
What is Proof of stake?
There are many benefits to using a consensus algorithm like proof of work over other popular algorithms like proof of stake.
Proof of stake (PoS) systems rely on token ownership as an indicator for whether or not someone should be trusted with validating transactions or creating new blocks.
However, this does not take into account the number of coins owned by each person.
If you own more coins than everyone else combined, then you can monopolize the entire network–even if you’re only running one node!
Why Consensus is Important for Data Synchronization?
A consensus algorithm is a way of ensuring that the values in a distributed database stay synchronized.
Consensus algorithms are important because they allow for agreement on what information is stored.
For example, if there is no way of agreeing on the order in which transactions should be applied to a shared ledger, then there can be no certainty that the ledger contains an accurate and true record of events.
Why consensus is Important for Security?
Consensus algorithms are a key component of blockchain technology. They help ensure the integrity and security of decentralized networks by making sure that all transactions are valid. Blockchain technologies can be built to use any type of consensus algorithm, but the most popular one is Proof-of-Work (PoW).
There are several types of consensus algorithms, and knowing the pros and cons of each algorithm could help you select which one is right for your project’s needs.
This article will explore several different types of consensus algorithms and how they work in relation to blockchain technology.
Properties of Consensus for fault tolerance
One way to describe consensus algorithms is by their fault-tolerance properties:
1. Byzantine Fault Tolerance: these algorithms can detect and handle up to one-third of bad nodes acting in bad faith without compromising the integrity and availability of the service
2. Computer Science Fault Tolerance: these algorithms can detect and correct up to one-third of crashes or hardware failures without compromising the integrity and availability of the service
3. Fail-Stop Fault Tolerance: these algorithms can detect and correct up to one-third of crashes without compromising integrity and availability
4. Unconditional Fault Tolerance: these algorithms always operate correctly
Consensus Algorithm for Cryptocurrency
Cryptocurrency has become a popular topic today. With Bitcoin being the first to be introduced, it is now being used by many countries as their primary currency.
This cryptocurrency works differently than traditional currency because transactions are made via blockchain instead of physical cash.
However, there are some drawbacks that come with this system. For example, the peer-to-peer nature of cryptocurrencies makes them susceptible to attack by malicious actors who might want to steal your hard-earned money.
Luckily there are other types of consensus algorithms that have been developed in order to address these issues and make for a safer digital ecosystem.
These algorithms include Proof of Work, Proof of Stake, Proof of Authority, and Byzantine Fault Tolerance for example. Here are some ways you can learn more about the different types of consensus algorithms available today.
Consensus Algorithm for Bitcoin
Bitcoin is a decentralized digital currency. However, Bitcoin mining is not a decentralized activity.
Bitcoin mining is dominated by only a handful of miners which has led to the centralization of Bitcoin’s consensus algorithm.
It is possible that Bitcoin mining will become completely centralized and that it will be too dangerous for an individual to participate in Bitcoin mining on their own. As such, what are some alternative consensus algorithms?
A consensus algorithm is a process that allows a group of systems to agree on a single value. Some examples include Paxos and Raft, but there are many more.
There are different types of consensus algorithms for different causes, but they all have one goal: preventing the system from being compromised by giving everyone a fair say.
As the internet evolves with newer technologies, new security concerns arise. In order to protect users from unwanted data manipulation or unauthorized access, it is important to have an effective consensus algorithm in place.
Nitin is a professional data Engineer, Who has a Post Graduation in Data Science and Analytics and working in the healthcare sector. Experts in Data analysis, Machine learning, AI, blockchain, Data related tools, and technologies. He is the Co-founder and editor of analyticslearn.com