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Full Description
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.- 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.
