Blockchain and Artificial Intelligence for Secure Computer Vision Technologies and Applications

1. Auflage 2026
ISBN: 978-1-041-11263-1
Verlag: Taylor & Francis

Buch, Englisch, 464 Seiten, Format (B × H): 174 mm x 246 mm

The text discusses the intrinsic vulnerabilities in traditional computer vision systems, such as data tampering and adversarial attacks, and illustrates how blockchain's decentralized and immutable ledger can mitigate these risks. Moreover, the book will examine the role of proxy smart contracts in implementing security protocols and ensuring data integrity within computer vision approaches.

- Discusses the integration of emerging technologies such as blockchain and generative artificial intelligence for computer vision applications with service scenarios. • Explores existing secure solutions for computer vision applications with blockchain and advanced technologies.

- Explains the fusion of Blockchain and machine learning techniques for intrusion detection in computer vision.

- Covers real-world computer vision applications, such as smart healthcare, smart parking, and smart education, with secure environments as case studies.

- Examines security and privacy challenges in computer vision applications, discussing mitigation procedures, regulatory frameworks, and ethical contemplations crucial for protecting individuals' rights.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer vision, artificial intelligence, and computer engineering.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Kumar Singh, Sushil

Gupta, Himanshu

Jadeja, Rajendrasinh B.

Khanna, Ashish

Virdee, Bal

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik

Inhaltsverzeichnis

1. Computer Vision: Introduction and Objective. 2. Latest Trends in Blockchain, Generative Artificial Intelligence, and Computer Vision. 3. Layered Architecture of Computer Vision Neural Networks. 4. Blockchain and Generative Artificial Intelligence: Fundamentals and Consensus Mechanism. 5. Convergence of Internet of Things Integration for Enhancement of Computer Vision Capabilities. 6. Security and Privacy Issues in Computer Vision Applications. 7. Solutions for Secure Computer Vision Infrastructure. 8. Blockchain’s Motivation with Computer Vision Applications. 9. Convergence of Computer Vision Applications and Generative Artificial Intelligence for Enhancement. 10. Security and Privacy Considerations in Blockchain-based Computer Vision. 11. Blockchain-based Secure Intelligent Architecture for Computer Vision Applications. 12. Fusion of Emerging Technologies for Computer Vision Beyond Advanced Communication Medium. 13. Machine Learning-based Distributed Techniques for Intrusion Detection in Computer Vision. 14. Service Scenarios of Advanced Secure Computer Vision Applications. 15. The Future of Computer Vision: Opportunities, Requirements, Open Issues. 16. Fusion of Emerging Technology for Secure Environment in Computer Vision Applications. 17. Global Case Studies: Integrating Blockchain, Artificial Intelligence, and Computer Vision Across Diverse Sectors.

Über Autor(innen)

Sushil Kumar Singh (Member, IEEE) is an associate professor, in the Department of Computer Engineering, at Marwadi University, Rajkot, India. He has also been the lab leader of the UCS Lab at the Department of Computer Science Engineering, Seoul National University of Science and Technology, Seoul, South Korea. He has more than 12 years of experience teaching in the field of computer science. He has also published high-quality papers (Q1, Top 10% JCR Rank) in international journals and conferences. His research interests include Blockchain, Artificial Intelligence, Big Data, the Internet of Things, Smart City Security, and Cyber-Physical Systems. He is an Associate Editor in the HCIS (Human-centric Computation and Information Sciences) Journal, IEEE JBHI Journal and Editor in IGI Global Publication. He is a reviewer of the IEEE Wireless Communication Magazine, IEEE SYSTEMS, IEEE Internet of Things, FGCS, TETT, EXSY, JISA, Computer Network, MDPI, CIE, HCIS, JIPS, Computing (COMP), Multimedia Tools & Applications, and SCIS Journal.

Himanshu Gupta is currently working in the Department of Instrumentation and Control Engineering, at Manipal Academy of Higher Education, Manipal, India. He has more than 11 years of academic experience. He also worked and completed several sponsored projects, including ISRO, as a team leader. He has published more than 30 research articles in peer-reviewed journals and conferences. His research interests include computer vision, drone technology, soft-computing approaches, and optimization.

Rajendrasinh B. Jadeja (Senior Member, IEEE) is working as a Pro-Vice Chancellor and Dean at the Faculty of Engineering, Marwadi University, Gujarat, India. He is a Senior Member of IEEE. His areas of research and interest include control of power electronic converters, AC drives, Pulse Width Modulated power electronic converters, and Power Quality Issues and mitigation techniques. He actively participates and initiates ERASMUS+ for staff mobility and has also completed such a program for teaching between partner countries.

Ashish Khanna [IEEE Member’2019, Senior Member’2020, MACM] is working as a professor, in the Department of Computer Science and Engineering, at Maharaja Agrasen Institute of Technology, Delhi, India. He has expertise in Teaching, Entrepreneurship, and Research and development with a specialization in Computer Science Engineering Subjects. He is part of the world's leading 2% research community list from STANFORD UNIVERSITY, USA. He is also part of the top research community, including the AD research community and research.com group. He has around 200 accepted and published research papers and book chapters in reputed SCI, Scopus journals, conferences, and reputed book series, including 98 papers accepted and published in TOP SCI-indexed Journals.

Bal S. Virdee (Senior Member, IEEE) received the B.Sc. and M.Phil. degrees in communications engineering from the University of Leeds, U.K., and the Ph.D. degree in electronic engineering from the University of London, U.K. He has worked in industry for various companies including Philips, U.K., as a Research and Development Engineer and Teledyne Defence and Space as a Future Products Developer in RF/microwave communications. He has taught at several academic institutions before joining London Metropolitan University, where he is currently a Senior Professor in communications technology with the School of Computing and Digital Media, where he is also the Head of the Communications Technology Research Center. His research, in collaboration with industry and academia, is in wireless communications encompassing mobile phones to satellite-technology. He has chaired technical sessions at IEEE international conferences and published numerous research papers. He is an Executive Member of IET’s Technical and Professional Network Committee on RF/Microwave Technology. He is a fellow of IET.