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.

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.