{"product_id":"digital-forensics-and-cyber-crime-9783031893599","title":"Digital Forensics and Cyber Crime","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Security Analytics, Threat Intelligence, Multimedia Forensics.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Assessing Threats: Security Boundary and Side-channel Attack Detection in the Metaverse.\u003c\/p\u003e\u003cp\u003e.- EG-SAN: Evolving Graph Self-Attention Networks for Detecting Illicit Activities in Cryptocurrency.\u003c\/p\u003e\u003cp\u003e.- Auto-TFCE: Automatic Tra?ic Feature Code Extraction Method and Its Application in Cyber Security.\u003c\/p\u003e\u003cp\u003e.- Improved Federated Learning Model Against Poisoning Attacks by Using Iterative Blockchain Validators.\u003c\/p\u003e\u003cp\u003e.- ThreatResponder: Dynamic Markov-based Defense Mechanism for Real-time Cyber Threats.\u003c\/p\u003e\u003cp\u003e.- Social Media Threat Intelligence: A Framework for Collecting and Categorizing Threat-Related Data.\u003c\/p\u003e\u003cp\u003e.- A Comprehensive Survey on Basic Safety Message Attacks and Their Detection.\u003c\/p\u003e\u003cp\u003e.- BGETC: An Encrypted Tra?ic Classification Method Based on BERT and GRU.\u003c\/p\u003e\u003cp\u003e.- AnGSL: Graph-Based Android Malware Detection Method.\u003c\/p\u003e\u003cp\u003e.- Attention-Guided Contrastive Masked Autoencoders for Self-supervised Cross-modal Biometric Matching.\u003c\/p\u003e\u003cp\u003e.- MSP: A Zero-latency Lightweight Website Fingerprinting Defense for Tor Network.\u003c\/p\u003e\u003cp\u003e.- An IP Anti-Geolocation Method Based on Constructed Landmarks.\u003c\/p\u003e\u003cp\u003e.- Burst Sequence Based Graph Neural Network for Video Tra?ic Identification.\u003c\/p\u003e\u003cp\u003e.- KP-WF: Cross-domain Few-shot Website Fingerprinting.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Generative AI, Emerging Threats. \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Pixel-level Face Correction Task for More Generalized Deepfake Detection.\u003c\/p\u003e\u003cp\u003e.- Evaluating and Extending Techniques for Fine-Grained Text-Topic Prediction for Digital Forensic Data.\u003c\/p\u003e\u003cp\u003e.- Driven to Evidence: The Digital Forensic Trail of Vehicles.\u003c\/p\u003e\u003cp\u003e.- Autonomous Driving System Configuration Defect Detection Method Based on Fuzzing.\u003c\/p\u003e\u003cp\u003e.- Research on Minimum Receptive Field of Convolutional Neural Networks for Energy Analysis Attack.\u003c\/p\u003e\u003cp\u003e.-  Heaker: Exfiltrating Data from Air-Gapped Computers via Thermal Signals.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195470569815,"sku":"9783031893599","price":54.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/digital-forensics-and-cyber-crime-9783031893599","provider":"Book Curl","version":"1.0","type":"link"}