Autorentext

Sudan Jha is a Professor in the Department of Computer Science and Engineering at Kathmandu University, Nepal, with over 23 years of teaching, research, and industrial experience as a senior IEEE member. He leads research at the IoT R&D lab at Kathmandu University and previously served as Technical Director at Nepal Television, Principal at Nepal College of IT, and Individual Consultant at Nepal Telecom Authority. Prof. Jha has published 80+ research papers and book chapters, serves as Co-Editor-in-Chief of an international journal, and holds three patents. He has authored and edited 6 books on IoT, 5G, and AI, secured funding for two international projects, and delivered keynote presentations at over 40 international conferences. His certifications include Microservices Architecture, Data Science, and Foundations of Artificial Intelligence, with research interests in Quality of Services in IoT-enabled devices, Neutrosophic Theory, and Neutrosophic Soft Set Systems.

Vijender Kumar Solanki is an Associate Professor in the Department of Artificial Intelligence & Data Science at the Stanley College of Engineering and Technology for Women, Hyderabad, TG, India, bringing over 10 years of academic experience in network security, IoT, Big Data, Smart City, and IT as a Senior Member of IEEE and an ACM member. Dr. Solanki has authored or co-authored more than 50 research articles published in various journals, books, and conference proceedings, and has edited or co-edited 14 books and conference proceedings in soft computing. He received his Ph.D. in Computer Science and Engineering from Anna University, Chennai, India, in 2017, an ME and MCA from Maharishi Dayanand University, Rohtak, Haryana, India, in 2007 and 2004, respectively, and a bachelor's degree in science from JLN Government College, Faridabad, Haryana, India, in 2001. Dr. Solanki serves as a Book Series Editor with CRC Press, Taylor & Francis Group, and is part of the Editorial Board for various international journals. and has been a guest editor with many other publishers.

Maurice E. Dawson is an Associate Professor of Information Technology and Management and Director of the Center for Cyber Security and Forensics Education at Illinois Institute of Technology, Chicago, USA. He is a prominent figure in cybersecurity, information technology, and data science with a career spanning several decades of significant contributions to academia, research, and industry. Dr. Dawson is widely recognized for his groundbreaking research in cybersecurity, data science, and digital forensics, addressing critical issues such as cyber threats, data breaches, and digital asset protection through numerous projects that bridge academia and industry. His collaborations with leading tech companies, government agencies, and research institutions have resulted in real-world impact solutions, earning him prestigious recognition, including the Fulbright Scholar Award. As an accomplished author, Dr. Dawson has published extensively in reputable academic journals, authored books, and contributed to numerous conference proceedings covering topics from cybersecurity risk management to data analytics and digital forensics.

Klappentext

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 Industry 4.0 examines cognitive security principles for IIoT environments, emphasizing artificial intelligence (AI) and machine learning (ML) 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.

Inhalt

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.