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020 _a9789819981014
024 7 _a10.1007/978-981-99-8101-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
050 0 4 _aQA76.9.A25
_b2024
050 0 4 _aJC596-596.2
_b2024
245 0 0 _aBlockchain and Trustworthy Systems
_b: 5th International Conference, BlockSys 2023, Haikou, China, August 8-10, 2023, Proceedings, Part I
_cedited by Jiachi Chen, Bin Wen, Ting Chen
250 _afirst edition 2024
264 1 _aSingapore
_c2024
_bSpringer International Publishing
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
490 0 _aCommunications in Computer and Information Science
_x1865-0937 ;
_v1896
505 0 _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.
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-8101-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _2lcc
_cLE
988 _aSpringer_Computer_2024
999 _c397750
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