{"product_id":"information-and-communications-security-9789819535422","title":"Information and Communications Security","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Blockchain and Cryptocurrencies.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eEquinoxBFT: BFT Consensus for Blockchain Emergency Governance.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003efFuzz: A State-aware Function-level Fuzzing Framework for Smart Contract Vulnerabilities Detection.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eTraceBFT: Backtracking-based Pipelined Asynchronous BFT Consensus for High-Throughput Distributed Systems.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eRADIAL: Robust Adversarial Discrepancy-aware Framework for Early Detection of Illicit Cryptocurrency Accounts.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eEnhancing Private Signing Key Protection in Digital Currency Transactions Using Obfuscation.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eAnsBridge: Towards Secure Cross-Chain Interoperability via Anonymous and Verifiable Validators.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eTrustBlink: A zkSNARK-Powered On-Demand Relay for PoW Cross-Chain Verification With Low Cost.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eR1-MFSol: a Smart Contract Vulnerability Detection Model Based on LLM and Multi-modal Feature Fusion.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eNo Place to Hide: An Efficient and Accurate Backdoor Detection Tool for Ethereum ERC-20 Smart Contracts.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- System and Network Security.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eBatch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eSocial-Aware and Quality-Driven Incentives for Mobile Crowd-Sensing with Two-Stage Game.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eA Distributed Privacy Protection Method for Crowd Sensing Based on Trust Evaluation.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eDBG-LB: A Trustworthy and Efficient Framework for Data Sharing in the Internet of Vehicles.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eActions Speak Louder Than Words: Evidence-Based Trust Level Evaluation in Multi-Agent Systems.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eBridging the Interoperability Gaps Among Trusted Architectures in MCUs.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Security and Privacy of AI.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eA Dropout-Resilient and Privacy-Preserving Framework for Federated Learning via Lightweight Masking.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eAFedGAN: Adaptive Federated Learning with Generative Adversarial Networks for Non-IID Data.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eOTTER: Optimized Training with Trustworthy Enhanced Replication via Diffusion and Federated VMUNet for Privacy-Aware Medical Segmentatio.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eEAGLE: Ensemble Adaptive Graph Learning for Enhanced Ethereum Fraud Detection.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eBR-CPPFL: A Blockchain-based Robust Clustered Privacy-preserving Federated Learning System.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eEfficient Semi-asynchronous Federated Learning with Guided Selective Participation and Adaptive Aggregation.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eImproving Byzantine-resilience in Federated Learning via Diverse Aggregation and Adaptive Variance Reduction.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eHierarchical Recovery of Convolutional Neural Networks via Self-Embedding Watermarking.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003ePersonalized Federated Learning Algorithm Based on User Grouping and Group Signatures.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Machine Learning for Security.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eSPCD: A Shot-Based Partial Copy Detection Method.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eBayesian-Adaptive Graph Neural Network for Anomaly Detection (BAGNN).\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eUzPhishNet Model for Phishing Detection.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eCyberNER-LLM: Cyber Threat Intelligence Named Entity Recognition With Large Language Model.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eProvenance-Based Intrusion Detection via Multi-Scale Graph Representation Learning.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- \u003c\/strong\u003eSADGA: A Self Attention GAN-Based Adversarial DGA with High Anti-Detection Ability.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52195608428887,"sku":"9789819535422","price":44.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9789819535422.jpg?v=1763648279","url":"https:\/\/bookcurl.com\/products\/information-and-communications-security-9789819535422","provider":"Book Curl","version":"1.0","type":"link"}