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Full Description
Industry 4.0, marked by the integration of cyber-physical systems, automation, and smart manufacturing, has greatly enhanced the intricacy and interconnectedness of industrial operations. Industrial Internet of Things (IIoT) systems allow for smooth communication and collaboration among machines, devices, and sensors, enabling real-time monitoring, data collection, and decision-making. As a result, this increased connectivity leaves IIoT networks vulnerable to a wider array of cyber threats, underscoring the need for more advanced security protocols.
Cognitive Security for Industrial IoT AI-Driven Approaches to Industrial 4.0 examines cognitive security principles for Industrial IoT environments, emphasizing AI and machine learning in security measures. This book provides practical case studies and real-world examples while addressing the unique security challenges inherent in Industry 4.0 technologies. Key focus areas include predictive maintenance, proactive threat mitigation, behavioral analytics, emerging trends, and best practices for implementing cognitive security in industrial environments.
This comprehensive resource explores cutting-edge trends and future prospects in IIoT security, including quantum-resilient technologies and decentralized security frameworks. Readers will find step-by-step guidelines and proven best practices for implementing cognitive security in industrial settings. This practical approach equips both practitioners and organizations to effectively combat evolving cyber threats, making it an invaluable resource for staying ahead in cybersecurity's rapidly changing landscape.
Contents
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.
