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000 nam5i
001 2210080933433
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008 231124s2024 si | s |||| 0|eng d
020 a97898199810149978-981-99-8101-4
024 a10.1007/978-981-99-8101-42doi
040 a221008
050 aQA76.9.A25
050 aJC596-596.2
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072 aURD2thema
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245 00 aBlockchain and Trustworthy Systemsh[electronic resource] :b5th International Conference, BlockSys 2023, Haikou, China, August 8–10, 2023, Proceedings, Part I /cedited by Jiachi Chen, Bin Wen, Ting Chen.
250 a1st ed. 2024.
264 aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.
300 aXIX, 299 p. 80 illus., 69 illus. in color.bonline resource.
336 atextbtxt2rdacontent
337 acomputerbc2rdamedia
338 aonline resourcebcr2rdacarrier
347 atext filebPDF2rda
490 aCommunications in Computer and Information Science,x1865-0937 ;v1896
505 aAnomaly 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.
520 aThe 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.
650 aData protectionxLaw and legislation.
650 aArtificial intelligence.
650 aData structures (Computer science).
650 aInformation theory.
650 aOperating systems (Computers).
650 aComputers, Special purpose.
650 aPrivacy.
650 aArtificial Intelligence.
650 aData Structures and Information Theory.
650 aOperating Systems.
650 aSpecial Purpose and Application-Based Systems.
700 aChen, Jiachi.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aWen, Bin.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
700 aChen, Ting.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt
710 aSpringerLink (Online service)
773 tSpringer Nature eBook
776 iPrinted edition:z9789819981007
776 iPrinted edition:z9789819981021
830 aCommunications in Computer and Information Science,x1865-0937 ;v1896
856 uhttps://doi.org/10.1007/978-981-99-8101-4
912 aZDB-2-SCS
912 aZDB-2-SXCS
950 aComputer Science (SpringerNature-11645)
950 aComputer Science (R0) (SpringerNature-43710)
Blockchain and Trustworthy Systems[electronic resource] :5th International Conference, BlockSys 2023, Haikou, China, August 8–10, 2023, Proceedings, Part I /edited by Jiachi Chen, Bin Wen, Ting Chen
Material type
전자책
Title
Blockchain and Trustworthy Systems[electronic resource] :5th International Conference, BlockSys 2023, Haikou, China, August 8–10, 2023, Proceedings, Part I /edited by Jiachi Chen, Bin Wen, Ting Chen
Author's Name
Chen Jiachi. editor Wen Bin. editor Chen Ting. editor
판 사항
1st ed. 2024.
Physical Description
XIX, 299 p 80 illus, 69 illus in color online resource.
Keyword
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.
내용주기
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.
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