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Security and privacy in communication networks
21st EAI International Conference, SecureComm 2025, Xiangtan, China, July 4-6, 2025, Proceedings
International Conference on Security and Privacy for Emerging Areas in Communications Networks 2025 : Xiangtan, China)
1 online resource (xiii, 630 pages) : illustrations.
This four-volume set LNISCT 687-690 constitutes the proceedings of the 21st EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2025, held in Xiangtan, China, during July 4 - 6, 2025. The 119 full papers included in these volumes were carefully reviewed and selected from 341 submissions. They are organized in the following topical sections: Part I: Distributed and Network Security; ML/AI Security. Part II: ML/AI Security; CyberSecurity. Part III: CyberSecurity; Cryptography and Authentication. Part IV: Cryptography and Authentication; Security and Optimization.
Distributed and Network Security. -- A Fault-Tolerant Block Allocation Scheme for Collaborative Storage Blockchain Systems. -- A Double-Layer Blockchain-Assisted Anonymous Cross-Domain Authentication and Transaction Scheme for Metaverse. -- Adaptive On-Chain and Off-Chain Communication Management Based on SDN and Blockchain. -- BDSV: A Blockchain-based Reliable and Efficient Batch Digital Signature Verification Scheme for IoV. -- BFT-MS: Asynchronous BFT Protocol Using Bounded Memory. -- Fair Exchange of Trained Machine Learning Models Based on Permissioned Blockchain and Zero-Knowledge Contingent Payment. -- SaFeBridge: Consensus-Agnostic Asset Transfer with Slow-Approval Fast-Exit Principles. -- Security Detection Method for Wireless Sensor Networks Based on Self-Supervised Learning and Deep Learning. -- Securing Snapshot Pruning in IOTA Tangle 2.0: A Cooperative Deep Reinforcement Learning Approach for Edge-Cloud Smart Meter Networks. -- TACA: Blockchain-Based Traceable and Anonymous Cross-Domain Authentication Scheme for IIoT. -- Spatiotemporal Cross-Domain Integrated Insights: Mitigating Fraudulent Activities on Ethereum. -- PIRchain: Blockchain-Enhanced Privacy-Preserving Inter-domain Routing. -- Consortium Blockchain-Based Anti-Plagiarism Scheme for Multi-NFT Marketplaces. -- Cryptocurrency Transaction Anomaly Detection Based on Semi-Supervised Learning and Graph Neural Network. -- Hardware-assisted Secure Decentralized Cloud Storage via Self-audit and Self-repair. -- RdBFT: Faster Asynchronous BFT Protocol through Random Binary Agreement. -- Antitoxin: A Framework for Controlling Persistent Backdoors in Federated Learning. -- MDC-Net:Multi-Dimensional Cross-Domain Collaborative Network for Image Manipulation Localization. -- The Framework Of Variational Mode Decomposition Based For DDoS Detection. -- DCAPSCR: A Decentralized Conditional Anonymous Payment System With Collaborative Regulation. -- SCFA: Stacked Classifier with Feature Augmentation for Imbalanced Node Classification in Intelligent Internet-of Things. -- ML/AI Security. -- FL(DP)2 : Federated Learning with Dynamic Personalized Differential Privacy. -- FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection. -- Knowledge Distillation for Federated Learning with Many Noisy Clients. -- Low Energy Consumption Hierarchical Federated Learning. -- LPFL-RL: A Lightweight Privacy-Preserving Federated Learning Scheme with Robustness Against Low-Quality Users in Cloud-Edge Collaborative Environments. -- Heterogeneity-aware semi-asynchronous federated learning. -- pFedDDS: Personalized Federated Learning via Dual defense Strategies. -- PPCM-Fed: Privacy-Preserving Cross-Modal Federated Learning in IoT. -- Security-Aware and Energy-Efficient Federated Learning in LEO Satellite Edge Micro-clouds: A Noise-Adaptive Allocation Framework.
Wei Liang, Sun-Yuan Kung, Meikang Qiu, editors.
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 687