Blockchain and Trustworthy Systems
Springer Verlag, Singapore
978-981-99-8100-7 (ISBN)
Part I: Anomaly detection on blockchain; edge intelligence and metaverse services; blockchain system security; empirical study and surveys; federated learning for blockchain.
Part II: AI for blockchain; blockchain applications; blockchain architecture and optimization; protocols and consensus.
Anomaly detection on blockchain.- Blockchain Scam Detection: State-of-the-art, Challenges, and Future Directions.- ScamRadar: Identifying Blockchain Scams When They are Promoting.- Based on Financial Characteristics to Capture the Source of Funds of the Ponzi Scheme on Ethereum with Graph Traversal Technology.- Based on Financial Characteristics to Capture the Source of Funds of the Ponzi Scheme on Ethereum with Graph Traversal Technology.- Edge Intelligence and Metaverse Services.- Dynamic Computation Offloading Leveraging Horizontal Task Offloading and Service Migration in Edge Networks.- Blockchain-Assisted Authentication and Key Agreement Protocol for Cloud-Edge Collaboration.- Towards Efficient and Privacy-preserving Hierarchical Federated Learning for Distributed Edge Network.- Blockchain System Security.- Securing Blockchain Using Propagation Chain Learning.- Privacy Protection Multi-copy Provable Data Possession supporting Data Reliability.- Research On Comprehensive Blockchain Regulation And Antifraud System.- Analysis of Peeling Chain Model in Bitcoin Mixing Service.- A Blockchain-based On-chain and Off-chain Dual-trusted Carbon Emission Trading System with Reputation Mechanism.- Empirical Study and Surveys.- Smart Contract Vulnerability Detection Methods: A Survey.- Who Needs the Most Research Effort? Investigating the Importance of Smart Contract Weaknesses.- A Survey on Blockchain Abnormal Transaction Detection.- A Systematic Literature Review on Smart Contract Vulnerability Detection by Symbolic Execution.- Sharding Technologies in Blockchain: Basics, State of the Art, and Challenges.- Federated Learning for Blockchain.- A Blockchain-enabled Decentralized Federated Learning System with Transparent and Open Incentive and Audit Contracts.- Blockchain-based Federated Learning for IoT Sharing: Incentive Scheme with Reputation Mechanism.- An Optimized Scheme of Federated Learning Based on Differential Privacy.
Erscheinungsdatum | 28.11.2023 |
---|---|
Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | 69 Illustrations, color; 11 Illustrations, black and white; XIX, 299 p. 80 illus., 69 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Netzwerke ► Sicherheit / Firewall | |
Informatik ► Theorie / Studium ► Algorithmen | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Artificial Intelligence • authentication • Blockchain • Computer Security • Cryptocurrency • cryptography • Databases • Data communication systems • Data Security • distributed computer systems • Distributed Database Systems • Distributed Ledger • Distributed Systems • Network Protocols • Network Security • parallel processing systems |
ISBN-10 | 981-99-8100-X / 981998100X |
ISBN-13 | 978-981-99-8100-7 / 9789819981007 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich