Security and Privacy in Communication Networks
Description
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.
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Content
.- 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.
