Cognitive Security for Industrial IoT

Cognitive Security for Industrial IoT portes grátis

Cognitive Security for Industrial IoT

AI-Driven Approaches to Industry 4.0

Solanki, Vijender Kumar; Jha, Sudan; Dawson, Maurice E.

Taylor & Francis Ltd

05/2026

244

Dura

Inglês

9781041003588

Pré-lançamento - envio 15 a 20 dias após a sua edição

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1. Introduction to Cognitive Security in Industrial IoT. 2. A Comprehensive Review on Challenges, Frameworks, and Future Trends for Intelligent Security in Industrial IoT. 3. Advancing Security in Industry 4.0. 4. Behavioral Analytics for Threat Detection. 5. An Optimized ML Framework for Anomaly Detection in Edge-Enabled IIoT Networks. 6. Machine Learning-Powered Intrusion Detection for Securing IoT and IIoT Networks. 7. A Graph-based AI Generated Visual Manipulation Detector for UAV-based Industrial Systems. 8. Quantization of Artificial Intelligence Models for Personal Protective Equipment Detection in Industrial Environments. 9. Frequency and Spatial Dual-Domain Filtering Scheme for Viscoelasticity Imaging in Ultrasound Elastography. 10. A Two-Stage Auction Mechanism for Cloud Resource Allocation for Artificial Intelligence and Machine Learning. 11. Smart Solutions for a Smarter Nation: Cloud Computing's Role in Nepal's Development. 12. Exploring the Role of Digital Twins in Urban Planning: Opportunities and Challenges for Smart Cities. 13. Case Studies and Applications of Cognitive Security in Industry.
industrial cybersecurity;machine learning security;behavioral analytics;predictive maintenance systems;quantum-resilient encryption;decentralized security frameworks;AI-based threat detection in manufacturing