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Mastering Blockchain

You're reading from   Mastering Blockchain A deep dive into distributed ledgers, consensus protocols, smart contracts, DApps, cryptocurrencies, Ethereum, and more

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839213199
Length 816 pages
Edition 3rd Edition
Languages
Concepts
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Author (1):
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Imran Bashir Imran Bashir
Author Profile Icon Imran Bashir
Imran Bashir
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Toc

Table of Contents (24) Chapters Close

Preface 1. Blockchain 101 2. Decentralization FREE CHAPTER 3. Symmetric Cryptography 4. Public Key Cryptography 5. Consensus Algorithms 6. Introducing Bitcoin 7. The Bitcoin Network and Payments 8. Bitcoin Clients and APIs 9. Alternative Coins 10. Smart Contracts 11. Ethereum 101 12. Further Ethereum 13. Ethereum Development Environment 14. Development Tools and Frameworks 15. Introducing Web3 16. Serenity 17. Hyperledger 18. Tokenization 19. Blockchain – Outside of Currencies 20. Enterprise Blockchain 21. Scalability and Other Challenges 22. Current Landscape and What's Next 23. Index

Classification

The consensus algorithms can be classified into two broad categories:

  • Traditional—voting-based consensus
  • Lottery-based—Nakamoto and post-Nakamoto consensus

Traditional voting-based consensus has been researched in distributed systems for many decades. Many fundamental results and a lot of ground-breaking work have already been produced in this space. Algorithms like Paxos and PBFT are prime examples of such types of algorithms. Traditional consensus can also be called fault-tolerant distributed consensus. In other words, this is a class of consensus algorithms that existed before Bitcoin and has been part of distributed system research for almost three decades.

Lottery-based or Nakamoto-type consensus was first introduced with Bitcoin. This class can also be simply called blockchain consensus.

The fundamental requirements of consensus algorithms boil down to safety and liveness conditions. A consensus algorithm must be...

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