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Titlebook: Blockchain and Trustworthy Systems; 5th International Co Jiachi Chen,Bin Wen,Ting Chen Conference proceedings 2024 The Editor(s) (if applic

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發(fā)表于 2025-3-21 16:24:26 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Blockchain and Trustworthy Systems
期刊簡稱5th International Co
影響因子2023Jiachi Chen,Bin Wen,Ting Chen
視頻videohttp://file.papertrans.cn/190/189232/189232.mp4
學(xué)科分類Communications in Computer and Information Science
圖書封面Titlebook: Blockchain and Trustworthy Systems; 5th International Co Jiachi Chen,Bin Wen,Ting Chen Conference proceedings 2024 The Editor(s) (if applic
影響因子?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..
Pindex Conference proceedings 2024
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Willy Schneider,Alexander Hennigion mechanism to ensure the authenticity of data captured from blockchain and improve the efficiency and the scalability. The security, scalability, and efficiency of the method was analyzed, and the results showed that the method has lower overhead and good scalability while maintaining security.
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Smart Contract Code Clone Detection Based on?Pre-training Techniquese reuse and vulnerabilities. Finally, we analyze the characteristics of these existential code cloning contracts. The results show that the performance of our experimental method is 1%–4% better than the current best detection method.
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Research on?Regulation Oriented Decentralized Oracle Machineion mechanism to ensure the authenticity of data captured from blockchain and improve the efficiency and the scalability. The security, scalability, and efficiency of the method was analyzed, and the results showed that the method has lower overhead and good scalability while maintaining security.
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