?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.
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.
