{"product_id":"han-jinguang-information-and-communications-security-9789819535422","title":"Information and Communications Security","description":".- Blockchain and Cryptocurrencies.\n\u003cbr\u003e\n.- EquinoxBFT: BFT Consensus for Blockchain Emergency Governance.\n\u003cbr\u003e\n.- fFuzz: A State-aware Function-level Fuzzing Framework for Smart Contract Vulnerabilities Detection.\n\u003cbr\u003e\n.- TraceBFT: Backtracking-based Pipelined Asynchronous BFT Consensus for High-Throughput Distributed Systems.\n\u003cbr\u003e\n.- RADIAL: Robust Adversarial Discrepancy-aware Framework for Early Detection of Illicit Cryptocurrency Accounts.\n\u003cbr\u003e\n.- Enhancing Private Signing Key Protection in Digital Currency Transactions Using Obfuscation.\n\u003cbr\u003e\n.- AnsBridge: Towards Secure Cross-Chain Interoperability via Anonymous and Verifiable Validators.\n\u003cbr\u003e\n.- TrustBlink: A zkSNARK-Powered On-Demand Relay for PoW Cross-Chain Verification With Low Cost.\n\u003cbr\u003e\n.- R1-MFSol: a Smart Contract Vulnerability Detection Model Based on LLM and Multi-modal Feature Fusion.\n\u003cbr\u003e\n.- No Place to Hide: An Efficient and Accurate Backdoor Detection Tool for Ethereum ERC-20 Smart Contracts.\n\u003cbr\u003e\n.- System and Network Security.\n\u003cbr\u003e\n.- Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks.\n\u003cbr\u003e\n.- Social-Aware and Quality-Driven Incentives for Mobile Crowd-Sensing with Two-Stage Game.\n\u003cbr\u003e\n.- A Distributed Privacy Protection Method for Crowd Sensing Based on Trust Evaluation.\n\u003cbr\u003e\n.- DBG-LB: A Trustworthy and Efficient Framework for Data Sharing in the Internet of Vehicles.\n\u003cbr\u003e\n.- Actions Speak Louder Than Words: Evidence-Based Trust Level Evaluation in Multi-Agent Systems.\n\u003cbr\u003e\n.- Bridging the Interoperability Gaps Among Trusted Architectures in MCUs.\n\u003cbr\u003e\n.- Security and Privacy of AI.\n\u003cbr\u003e\n.- A Dropout-Resilient and Privacy-Preserving Framework for Federated Learning via Lightweight Masking.\n\u003cbr\u003e\n.- AFedGAN: Adaptive Federated Learning with Generative Adversarial Networks for Non-IID Data.\n\u003cbr\u003e\n.- OTTER: Optimized Training with Trustworthy Enhanced Replication via Diffusion and Federated VMUNet for Privacy-Aware Medical Segmentatio.\n\u003cbr\u003e\n.- EAGLE: Ensemble Adaptive Graph Learning for Enhanced Ethereum Fraud Detection.\n\u003cbr\u003e\n.- BR-CPPFL: A Blockchain-based Robust Clustered Privacy-preserving Federated Learning System.\n\u003cbr\u003e\n.- Efficient Semi-asynchronous Federated Learning with Guided Selective Participation and Adaptive Aggregation.\n\u003cbr\u003e\n.- Improving Byzantine-resilience in Federated Learning via Diverse Aggregation and Adaptive Variance Reduction.\n\u003cbr\u003e\n.- Hierarchical Recovery of Convolutional Neural Networks via Self-Embedding Watermarking.\n\u003cbr\u003e\n.- Personalized Federated Learning Algorithm Based on User Grouping and Group Signatures.\n\u003cbr\u003e\n.- Machine Learning for Security.\n\u003cbr\u003e\n.- SPCD: A Shot-Based Partial Copy Detection Method.\n\u003cbr\u003e\n.- Bayesian-Adaptive Graph Neural Network for Anomaly Detection (BAGNN).\n\u003cbr\u003e\n.- UzPhishNet Model for Phishing Detection.\n\u003cbr\u003e\n.- CyberNER-LLM: Cyber Threat Intelligence Named Entity Recognition With Large Language Model.\n\u003cbr\u003e\n.- Provenance-Based Intrusion Detection via Multi-Scale Graph Representation Learning.\n\u003cbr\u003e\n.- SADGA: A Self Attention GAN-Based Adversarial DGA with High Anti-Detection Ability.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53794699444566,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/han-jinguang-information-and-communications-security-9789819535422","provider":"momoxbooks","version":"1.0","type":"link"}