Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juli 2025
Genre:	Naturwissensch., Medizin, Technik
	angewandte informatik / Computational Intelligence / Computer and Information Systems Applications / Computer Communication Networks / Evolutionary Computing and Learning / Image processing / Information Security / machine learning / Maschinelles Lernen / Netzwerk-Hardware / Neural Networks / pattern recognition / Signal Processing / Swarm Intelligence and Optimization mehr...
ISBN:	9789819698714
EAN-Code:	9789819698714
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	531
Illustration:	XXI, 531 p. 238 illus., 162 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

.- Information Security .- DDos Attack Identification Based on Temporal Features. .- An Intonation-Based Black-Box Generative Adversarial Attack Method for Audio. .- RanHunter: Advancing Ransomware Detection with Channel Attention and Multi-Head Attention. .- Cellular-Snooper: A General and Real-Time Mobile Application Fingerprinting Attack in LTE Networks. .- True or False? Dually Perceiving Relevance of Source Post and Comment Flow for Rumor Detection. .- Explanation-Inspired Transferable Adversarial Attacks with Layer-Wise Increment Decomposition. .- CNN-DST-IDS: CNN and D-S Evidence Theory Based Intrusion Detection System. .- PPAGAN: A Privacy-Preserving Self-Attention GAN Framework for Image Synthesis. .- ADPF: Adversarial Sample Detection Based on Prediction Feature. .- MvSMIA: Multi-View Source Membership Inference Attack in Federated Learning. .- RDP-FedAB: A Federated Learning Framework Balancing Privacy Protection and Model Performance. .- Transferable Adversarial Attacks via Diffusion-Based Keyword Embedding and Latent Optimization. .- Optimization of IoUT Systems: A Hierarchical Federated Transfer Learning Approach Based on UAV Computation Offloading. .- Malicious Encrypted Traffic Detection with Transformer and Dual-Layer Meta-Update Incremental Learning. .- ElevPatch: An Adversarial Patch Attack Scheme Based on YOLO11 Object Detector. .- MetaSSL-ETD: Robust Detection of Malicious Encrypted Traffic Based on Semi-Supervised Meta-Learning. .- A Steganalysis Framework for Enhancing Model Generalization Performance. .- Frequency-Aware Purification: A Black-box Defense against Backdoor Attacks. .- Stealthy Backdoors in Vertical Federated Learning. .- CTI-Shapley: An ATT&CK-Guided Enhanced Shapley Value Mechanism for Benefit Distribution in Cyber Threat Intelligence Sharing. .- Distributed Cumulative Gradient Backdoor Attack Against Federated Learning. .- MSIAA: Multi-Scale Inversion Adversarial Attack on Face Recognition. .- Leveraging Fine-Tuned Large Language Models for Device Fingerprint Extraction in IoT Security. .- MICD: Deepfake Detection with Masked Identity Consistency Detector. .- PGAE: A Perturbed Graph Autoencoder Integrating Explicit and Implicit Features for APT Detection. .- Durability-Optimized Model Poisoning Attack against Federated Learning Systems. .- Explainable Machine Learning Models for Phishing Website Detection: Enhancing Transparency and Accuracy in Cybersecurity. .- FRIFL: A Fair and Robust Incentive Mechanism for Heterogeneous Federated Learning. .- Reversible Data Hiding for 3D Mesh Models in Encrypted Domain Based on Adaptive MSB and Difference Prediction. .- FedFIP: A Personalized Federated Learning Optimization Method with Differential Privacy Protection. .- ProAnalyzer: Inferring Network Service's Fuzzing Format with Grey-box Metric. .- Research on Differential Privacy in Personalized Heterogeneous Federated Learning Based on Fisher Information Matrix. .- APFedEmb: An Adaptive and Personalized Federated Knowledge Graph Embedding Framework for Link Prediction. .- Federated Knowledge Collaborative Recommendation System with Privacy Preserving. .- Towards Reliable Detection of Malicious DNS-over-HTTPS (DoH) Tunneling Traffic under Low-quality Training Data. .- Ensemble Partitioning: A Defense Mechanism Against Membership Inference Attacks in ML Models. .- A Trusted Computing Power Network Scheduling Algorithm Based on Federated Learning. .- Secure Outsourced Matrix Multiplication of Floating Point Numbers. .- Research on Synthetic Trajectory Data Publication Resisting Location Inference Attacks Based on Differential Privacy. .- Alias6: An IPv6 Alias Resolution Technology Based on Multiple Fingerprint Features. .- Update Recovery Attacks on Two-Dimensional Encrypted Databases: Exploiting Volume Pattern Leakage in Range Queries. .- VulPelican: an LLM and Interactive Static Analysis Tool Based Vulnerability Detection Framework. .- Energy-aware Task Scheduling Using DVFS and On/Off