Handbook on Blockchain Birkhäuser. Este artículo no está disponible.Handbook on Blockchain Birkhäuser

Preface.- Part 1. Foundation.- 1. Blockchain in a Nutshell (Tran,Krishnamachari).- 2. Blockchain Peer-to-peer Network: Performance and Security (Thai, Doan, Liu, Liu, Li, Zhou, Dinh).- 3. Consensus Algorithms for Blockchain (Kim, Kwon).- 4. Blockchain Incentive Design and Analysis (Niu, Feng).- 5. Cross-Blockchain Transactions: Systems, Protocols, and Topological Theory (Zhao).- Part 2. Scalability.- 6. Scaling Blockchains and the Case for Ethereum (Asgaonkar).- 7. Building Protocols for Scalable Decentralized Applications (Mast).- 8. Information-Theoretic Approaches to Scalable Blockchain Systems and Distributed Trust (Raman, Varshney).- Part 3. Trust and Security .- 9. On Trust, Blockchain, and Reputation Systems (Rodrigues, Franco, Killer, Scheid, Stiller).- 10. Blockchain for Trust and Reputation Management in Cyber-physical Systems (Putra, Dedeoglu, Kanhere, Jurdak).- 11. Advances in Blockchain Security (Nguyen, Jeter, Thai).- 12. Formal Verification of Blockchain Byzantine Fault Tolerance (Tholoniat, Gramoli).- Part 4. Decentralized Finance.- 13. Constant Function Market Makers: Multi-asset Trades via Convex Optimization (Angeris, Agrawal, Evans, Chitra, Boyd).- 14. Stablecoins: Reducing the Volatility of Cryptocurrencies (Kahya, Krishnamachari, Yun).- 15. Central Bank Digital Currencies (Pocher, Veneris). - Part 5. Application and Policy.- 16. Ocean Protocol: Tools for the Web3 Data Economy (McConaghy).- 17. Blockchain in Supply Chain: Opportunities and Design Considerations (Ramachandran, Malik,  Pal, Dorri, Dedeoglu, Kanhere, Jurdak) .- 18. Tokenization of Assets (Bala).- 19. The New Economy of Movement (Vo, Ballinger).- 20. Blockchain-based data management for Smart Transportation (Zichichi, Ferretii, D'Angelo).- 21. Crypto Regulation and the Case for Europe (Sandner, Ferreira, Dünser). - 22. Economic Perspectives on the Governance of Blockchains (Murtazashvili, Weiss).

​Duc A. Tran is Associate Professor of Computer Science at the University of Massachusetts, Boston, where he is Director of the Network Computing Laboratory. He has many years of research in the area of decentralized computing, using machine learning and decentralized techniques to optimize applications. His particular interests are Blockchain and Federated Learning.
My T. Thai is a UF Research Foundation Professor of Computer & Information Science & Engineering and Associate Director of the Nelms Institute for the Connected World at the University of Florida. She has extensive expertise in billion-scale data mining, machine learning, and optimization, especially for complex graph data with applications to blockchain, social media, critical networking infrastructure, cybersecucurity, and healthcare.
Bhaskar Krishnamachari is Professor, Ming Hsieh Faculty Fellow, Department of Electrical and Computer Engineering with a joint appointment at the Department of Computer Science, Viterbi School of Engineering, University of Southern California. His research interests are in the design and analysis of algorithms, protocols, and applications for next-generation networks and distributed systems including the internet of things, connected vehicles, dispersed computing, and blockchain systems.