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Blockchain, metaverse and trustworthy systems = 6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024 : revised selected papers.. Part I /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Blockchain, metaverse and trustworthy systems/ edited by Debiao He ... [et al.].
Reminder of title:	6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024 : revised selected papers.
remainder title:	BlockSys 2024
other author:	He, Debiao.
corporate name:	BlockSys (Conference)
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xii, 246 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Blockchains (Databases) - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-96-1411-0
ISBN:	9789819614110

Blockchain, metaverse and trustworthy systems = 6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024 : revised selected papers.. Part I /
Blockchain, metaverse and trustworthy systems6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024 : revised selected papers.Part I /[electronic resource] :BlockSys 2024edited by Debiao He ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xii, 246 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,22641865-0937 ;. - Communications in computer and information science ;2264..

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.

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.

ISBN: 9789819614110

Standard No.: 10.1007/978-981-96-1411-0doiSubjects--Topical Terms:

3411900
Blockchains (Databases)
--Congresses.

LC Class. No.: QA76.9.B56

Dewey Class. No.: 005.74

Blockchain, metaverse and trustworthy systems = 6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024 : revised selected papers.. Part I /
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505 0 $a 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.
520 $a 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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