Blockchain, Metaverse and Trustworthy Systems (eBook, PDF)

6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024, Revised Selected Papers, Part I
Redaktion: He, Debiao; Huang, Huawei; Wang, Chen; Wu, Jiajing

• Format: PDF

Produktbeschreibung

This two-volume set CCIS 2264 and CCIS 2265 constitutes the refereed proceedings of the 6th International Conference on Blockchain and Trustworthy Systems, BlockSys 2024, held in Hangzhou, China, during July 12-14, 2024.

The 34 full papers presented in these two volumes were carefully reviewed and selected from 74 submissions. The papers are organized in the following topical sections:

Part I: Blockchain and Data Mining; Data Security and Anomaly Detection; Blockchain Performance Optimization.

Part II: Frontier Technology Integration; Trustworthy System and Cryptocurrencies; Blockchain Applications.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 246
• Erscheinungstermin: 27. Januar 2025
• Englisch
• ISBN-13: 9789819614110
• Artikelnr.: 73162816

Inhaltsangabe

.- Blockchain and Data Mining.

.- Intrusion Anomaly Detection with Multi-Transformer.

.- A Federated Learning Method Based on Linear Probing and Fine-Tuning.

.- Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection.

.- A Secure Hierarchical Federated Learning Framework based on FISCO Group Mechanism.

.- Research on Network Traffic Anomaly Detection Method Based on Deep Learning.

.- Hyper-parameter Optimization and Proxy Re-encryption for Federated Learning.

.- Data Security and Anomaly Detection.

.- Exploring Embedded Content in the Ethereum Blockchain: Data Restoration and Analysis.

.- Task Allocation and Process Optimization of Data, Information, Knowledge, and Wisdom (DIKW)-based Workflow Engine.

.- Location Data Sharing Method Based on Blockchain and Attribute-Based Encryption.

.- Implicit White-Box Implementations of Efficient Double-Block-Length MAC.

.- A Survey on Blockchain Scalability.

.- Supply Chain Financing Model Embedded with "Full-Process" Blockchain.

.- Blockchain Performance Optimization.

.- ReCon: Faster Smart Contract Vulnerability Detection by Reusable Symbolic Execution Tree.

.- SVD-SESDG: Smart Contract Vulnerability Detection Technology via Symbol Execution and State Variable Dependency Graph.

.- Dual-view Aware Smart Contract Vulnerability Detection for Ethereum.

.- Blockchain Layered Sharding Algorithm Based on Transaction Characteristics.

.- An Empirical Study on the Performance of EVMs and Wasm VMs for Smart Contract Execution.

.- Ponzi Scheme Detection in Smart Contracts Using Heterogeneous Semantic Graph.