Lecture Notes in Computer Science16218 Information and Communications Security

.- Blockchain and Cryptocurrencies..- EquinoxBFT: BFT Consensus for Blockchain Emergency Governance..- fFuzz: A State-aware Function-level Fuzzing Framework for Smart Contract Vulnerabilities Detection..- TraceBFT: Backtracking-based Pipelined Asynchronous BFT Consensus for High-Throughput Distributed Systems..- RADIAL: Robust Adversarial Discrepancy-aware Framework for Early Detection of Illicit Cryptocurrency Accounts..- Enhancing Private Signing Key Protection in Digital Currency Transactions Using Obfuscation..- AnsBridge: Towards Secure Cross-Chain Interoperability via Anonymous and Verifiable Validators..- TrustBlink: A zkSNARK-Powered On-Demand Relay for PoW Cross-Chain Verification With Low Cost..- R1-MFSol: a Smart Contract Vulnerability Detection Model Based on LLM and Multi-modal Feature Fusion..- No Place to Hide: An Efficient and Accurate Backdoor Detection Tool for Ethereum ERC-20 Smart Contracts..- System and Network Security..- Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks..- Social-Aware and Quality-Driven Incentives for Mobile Crowd-Sensing with Two-Stage Game..- A Distributed Privacy Protection Method for Crowd Sensing Based on Trust Evaluation..- DBG-LB: A Trustworthy and Efficient Framework for Data Sharing in the Internet of Vehicles..- Actions Speak Louder Than Words: Evidence-Based Trust Level Evaluation in Multi-Agent Systems..- Bridging the Interoperability Gaps Among Trusted Architectures in MCUs..- Security and Privacy of AI..- A Dropout-Resilient and Privacy-Preserving Framework for Federated Learning via Lightweight Masking..- AFedGAN: Adaptive Federated Learning with Generative Adversarial Networks for Non-IID Data..- OTTER: Optimized Training with Trustworthy Enhanced Replication via Diffusion and Federated VMUNet for Privacy-Aware Medical Segmentatio..- EAGLE: Ensemble Adaptive Graph Learning for Enhanced Ethereum Fraud Detection..- BR-CPPFL: A Blockchain-based Robust Clustered Privacy-preserving Federated Learning System..- Efficient Semi-asynchronous Federated Learning with Guided Selective Participation and Adaptive Aggregation..- Improving Byzantine-resilience in Federated Learning via Diverse Aggregation and Adaptive Variance Reduction..- Hierarchical Recovery of Convolutional Neural Networks via Self-Embedding Watermarking..- Personalized Federated Learning Algorithm Based on User Grouping and Group Signatures..- Machine Learning for Security..- SPCD: A Shot-Based Partial Copy Detection Method..- Bayesian-Adaptive Graph Neural Network for Anomaly Detection (BAGNN)..- UzPhishNet Model for Phishing Detection..- CyberNER-LLM: Cyber Threat Intelligence Named Entity Recognition With Large Language Model..- Provenance-Based Intrusion Detection via Multi-Scale Graph Representation Learning..- SADGA: A Self Attention GAN-Based Adversarial DGA with High Anti-Detection Ability.