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Blockchain and Trustworthy Systems : 5th International Conference, BlockSys 2023, Haikou, China, August 8–10, 2023, Proceedings, Part I / edited by Jiachi Chen, Bin Wen, Ting Chen.

Springer Nature - Springer Computer Science eBooks 2024 English International Available online

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Format:
Book
Author/Creator:
Chen, Jiachi.
Contributor:
Wen, Bin.
Chen, Ting.
Series:
Communications in Computer and Information Science, 1865-0937 ; 1896
Language:
English
Subjects (All):
Data protection--Law and legislation.
Data protection.
Artificial intelligence.
Data structures (Computer science).
Information theory.
Operating systems (Computers).
Computers, Special purpose.
Privacy.
Artificial Intelligence.
Data Structures and Information Theory.
Operating Systems.
Special Purpose and Application-Based Systems.
Local Subjects:
Privacy.
Artificial Intelligence.
Data Structures and Information Theory.
Operating Systems.
Special Purpose and Application-Based Systems.
Physical Description:
1 online resource (308 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
The two-volume set CCIS 1896 and 1897 constitutes the refereed post-conference proceedings of the 5th International Conference on Blockchain and Trustworthy Systems, BlockSys 2023, which took place in Haikou, China during August 8–10, 2023. The 45 revised full papers presented in these proceedings were carefully reviewed and selected from 93 submissions. The papers are organized in the following topical sections: 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.
Contents:
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
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.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Chen, Jiachi Blockchain and Trustworthy Systems
ISBN:
9789819981014
9819981018
OCLC:
1411052462

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