國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Blockchain, metaverse and trustworthy systems/ edited by Debiao He ... [et al.].
其他題名:	6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024 : revised selected papers.
其他題名:	BlockSys 2024
其他作者:	He, Debiao.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xii, 246 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Special Purpose and Application-Based Systems. -
電子資源:	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 ;311..

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:

669833
Special Purpose and Application-Based Systems.

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 /
LDR:03463nam a2200349 a 4500 001 1160606
003 DE-He213
005 20250127115244.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819614110 $q (electronic bk.)
020 $a 9789819614103 $q (paper)
024 7 $a 10.1007/978-981-96-1411-0 $2 doi
035 $a 978-981-96-1411-0
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.B56
072 7 $a URD $2 bicssc
072 7 $a COM060040 $2 bisacsh
072 7 $a URD $2 thema
082 0 4 $a 005.74 $2 23
090 $a QA76.9.B56 $b B651 2024
111 2 $a Workshop on the Preservation of Stability under Discretization $d (2001 : $c Fort Collins, Colo.) $3 527686
245 1 0 $a Blockchain, metaverse and trustworthy systems $h [electronic resource] : $b 6th International Conference, BlockSys 2024, Hangzhou, China, July 12-14, 2024 : revised selected papers. $n Part I / $c edited by Debiao He ... [et al.].
246 3 $a BlockSys 2024
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
300 $a xii, 246 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2264
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.
650 2 4 $a Special Purpose and Application-Based Systems. $3 669833
650 2 4 $a Operating Systems. $3 669804
650 2 4 $a Data Structures and Information Theory. $3 1211601
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Privacy. $3 575491
650 0 $a Computers, Special purpose. $3 1069426
650 0 $a Operating systems (Computers) $3 565129
650 0 $a Information theory. $3 595305
650 0 $a Data structures (Computer science) $3 527864
650 0 $a Artificial intelligence. $3 559380
650 0 $a Database security $v Congresses. $3 675402 $3 735815
650 0 $a Metaverse $v Congresses. $3 1435642
650 0 $a Blockchains (Databases) $3 1140752
700 1 $a He, Debiao. $3 1407933
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 311. $3 881211
856 4 0 $u https://doi.org/10.1007/978-981-96-1411-0
950 $a Computer Science (SpringerNature-11645)