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Frontiers in cyber security7th International Conference, FCS 2024, Chongqing, China, July 26-28, 2024 : proceedings.Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Frontiers in cyber securityedited by Biwen Chen, Xinwen Fu, Min Huang.
其他題名:	7th International Conference, FCS 2024, Chongqing, China, July 26-28, 2024 : proceedings.
其他題名:	FCS 2024
其他作者:	Chen, Biwen.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xvi, 529 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Computer securityCongresses.
電子資源:	https://doi.org/10.1007/978-981-96-0151-6
ISBN:	9789819601516$q(electronic bk.)

Frontiers in cyber security7th International Conference, FCS 2024, Chongqing, China, July 26-28, 2024 : proceedings.Part I /
Frontiers in cyber security7th International Conference, FCS 2024, Chongqing, China, July 26-28, 2024 : proceedings.Part I /[electronic resource] :FCS 2024edited by Biwen Chen, Xinwen Fu, Min Huang. - Singapore :Springer Nature Singapore :2024. - xvi, 529 p. :ill. (chiefly color), digital ;24 cm. - Communications in computer and information science,23151865-0937 ;. - Communications in computer and information science ;229..

Machine Learning and Differential Privacy. -- Large Vision-Language Model Security: A Survey. -- A Robust Linked List Steganography Without Embedding for Digital Images. -- Locate-then-Reveal: Enhancing the Playload Capacity of Multi-Image Hiding. -- LDPDetect: Efficient Detection and Defense against Graph Poisoning Attacks under Local Differential Privacy. -- Differentially Private Correlated Attributes Selection for Vertically Partitioned Data Publishing. -- On the Differential Transparency Order of Boolean Functions. -- Federated Learning. -- Defense-Guided Adaptive Attack on Byzantine-Robust Federated Learning. -- Efficient Private Set Intersection for Vertical Federated Learning in IoV. -- EVFLS:An Effective and Verifiable Federated Learning Aggregation Scheme. -- Robust Federated Learning Client Selection using Shapley Value in Heterogeneous Environments. -- Privacy-balanced Protection Methodology for Vehicle Health Monitoring under the Federated Learning Framework. -- Mantis: Fast and Communication-friendly Secure Two-Party Neural Network Inference. -- Privacy-Preserving Services. -- Secure Cloud Album: Design and Implementation. -- Efficient and Lightweight Medical Record Query Scheme Based on Homomorphism in Wireless Body Area Networks. -- A Privacy-Preserving and Efficient Fuzzy Range Query Processing Scheme on Cloud Server. -- Advertising Diversion App using Clipboard Content Recognition. -- Secure Task Assignment based on Tentative Planned Path in Crowdsensing Systems. -- Efficient and Practical Privacy-Preserving Face Recognition Protocol. -- Blockchain and Distributed System. -- ShardOpt: Optimal Sharding Strategy with Transaction Prediction. -- Secrecy Rate Optimization for The Power Beacon-assisted Secrecy Network Based on Stackelberg Game. -- Smart Contract Vulnerability Detection Based on Code Graph Embedding Approach. -- Notary Group-based Cross-chain Traceability Scheme for Cold Chain Logistics. -- Blockchian-Based Access Control and Data Sharing with IPFS in IIOT. -- Public-Key Cryptography. -- A Reliable and Privacy-preserving Truth Discovery Scheme for Mobile Crowdsensing based on Functional Encryption. -- Certificate-Based Proxy Re-Encryption+ Scheme in Digital Twin Smart City. -- Identity-Based Threshold Broadcast Proxy Re-Encryption Plus Scheme. -- Multi-Ciphertext Equality Batch Test Supporting Inequality Verification. -- Lattice-based Puncturable Blind Signature Scheme with Bidirectional Security. -- A Quantum-Resistant Blockchain Based on Hash Function. -- Multi-Party Computation. -- PAMPC: Publicly Auditable Multi-Party Computation with Cheater Detection. -- Multi-party Weighted Threshold d-Dimensional Semi-Quantum Secret Sharing Based on the Chinese Remainder Theorem. -- Multi-receiver Certiffcateless Searchable Public Key Encryption Scheme for IoMT.

This two-volume set, CCIS 2315 and CCIS 2316, constitutes the refereed proceedings of the 7th International Conference on Frontiers in Cyber Security, FCS 2024 held in Chongqing, China, during July 26-28, 2024. The 47 full papers presented in these two volumes were carefully reviewed and selected from 121 submissions. The papers are organized in the following topical sections: Part I: Machine Learning and Differential Privacy; Federated Learning; Privacy-Preserving Services; Blockchain and Distributed System; Public-Key Cryptography; Multi-Party Computation. Part II: Multi-Party Computation; Smart Grid; Authentication and Deduplication.

ISBN: 9789819601516$q(electronic bk.)

Standard No.: 10.1007/978-981-96-0151-6doiSubjects--Topical Terms:

383239
Computer security
--Congresses.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Frontiers in cyber security7th International Conference, FCS 2024, Chongqing, China, July 26-28, 2024 : proceedings.Part I /
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