Blockchain and Artificial Intelligence for Secure Computer Vision Technologies and Applications

1. Auflage 2026
ISBN: 978-1-041-11263-1
Verlag: Taylor & Francis Ltd (Sales)

Buch, Englisch, 460 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 1010 g

There are intrinsic vulnerabilities in traditional computer vision systems, such as data tampering and adversarial attacks. This book illustrates how blockchain's decentralized and immutable ledger can mitigate these risks. Further, it examines 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.

Blockchain and Artificial Intelligence for Secure Computer Vision Technologies and Applications 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 Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

1. Computer Vision: Introduction and Challenges. 2. Latest Trends in Blockchain, Generative AI, and Computer Vision. 3. Layered Architecture of Computer Vision Neural Networks. 4. Blockchain and Generative AI: Fundamentals and Consensus Mechanisms. 5. Convergence of IoT Integration for Enhancement of Computer Vision Capabilities. 6. Security and Privacy Issues in Computer Vision Applications. 7. Solutions for Secure Computer Vision Infrastructure. 8. Security and privacy considerations in blockchain-based computer vision. 9. Blockchain-based secure intelligent architecture for computer vision applications. 10 Fusion of Emerging Technologies for Computer Vision Beyond Advanced Communication Medium.11. Digital twin convergence with 6G-based smart city in computer vision. 12. Service Scenarios of Advanced Secure Computer Vision Applications. 13. The Future of Computer Vision: Opportunities, Requirements, and Open Issues. 14. The futuristic scope of computer vision. 15. Vulnerabilities in sight: a deep dive into security and privacy risks in computer vision. 16. From pixels to protocols: a secure blockchain framework for computer vision in Indian infrastructure. 17. Smart monitoring and analysis of food data: a C5.0 Bayesian network framework integrated with computer vision and IoT.18. Smart surveillance systems: enhancing vision security via blockchain and AI fusion. 19. Unsupervised financial anomaly detection using variational autoencoders and latent clustering. 20.Blockchain-enabled security in computer vision systems: a comprehensive analysis. 21. AI-enabled cloud security: a paradigm shift for data privacy protection. 22. Fusion of Blockchain and generative AI. 23 AI based blockchain in multidsciplianary business.

Über Autor(innen)

Dr. Sushil Kumar Singh (Member, IEEE) is an Associate Professor in the Department of Computer Engineering at Marwadi University, Rajkot, Gujarat, India. He has completed a PostDoc at London Metropolitan University, London, United Kingdom, under the supervision of Professor Bal Virdee. He received a Ph.D. degree from Seoul National University of Science and Technology, Seoul, South Korea, under the supervision of Professor Jong Hyuk Park. He received an M.Tech. Degree in Computer Science and Engineering from Uttarakhand Technical University, Dehradun, India. He also received an M.E. degree in Information Technology from Karnataka State University, Mysore, India. He has also been the lab leader of the UCS Lab at the Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea. He has received the Best Lab Leadership Award from UCS Lab for 2019-2021. He is selected in the Top 2% of scientists for the 2022-2023, 2023-2024, and 2024-2025 years as per the list compiled by Stanford University. He has more than 15 years of experience teaching in the field of computer science. He has published Ten++ Books: Computer C Programming, Cyber Security, Big Data Analytics, Mobile Computing, and Secure and Intelligent IoT-Enabled Smart Cities, and others. He attended the Erasmus+ Program at Pitesti University, Romania, in 2024 and delivered two essential sessions to the foreign students. He has also published many high-quality papers (Q1, Top 10% JCR Rank) in international journals and conferences. He has already delivered international lectures in many countries. His research interests include Blockchain, Artificial Intelligence, Big Data, Internet of Things, Smart City Security, and Cyber-Physical Systems. He also organizes the Research Activities Club, which promotes quality research activities among young researchers at Marwadi University, Rajkot, Gujarat, India.  HIMANSHU GUPTA is currently working as an Assistant Professor (Senior Scale) in the Department of Instrumentation and Control Engineering at Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India. He has more than 14 years of academic experience. He received his B.Tech. Degree from Uttar Pradesh Technical University, Lucknow, India, in 2006, M.Tech., and PhD Degrees from Dr B R Ambedkar National Institute of Technology Jalandhar, India, in 2012 and 2023, respectively. He also worked as a team leader in several sponsored projects, including ISRO. He has published more than 35 research articles in peer-reviewed journals and conferences. He has been a potential reviewer of several International Journals and Conferences of high repute. He is also associated with many conference series, such as Soft Computing: Theories and Applications (SoCTA), MAchine inTelligence for Research & Innovations (MAiTRI), etc. He is a member of the Instrument Society of India, IISc Bangalore, STEM Research Society, and Automatic Control & Dynamic Optimization Society, India. His research interests include computer vision, drone technology, soft-computing approaches, and optimization.

Prof. Rajendrasinh B. Jadeja (Senior Member, IEEE) Prof. Rajendrasinh B. Jadeja (Senior Member, IEEE) is working as a ProVost and Dean at the Faculty of Engineering, Marwadi University - Gujarat, India. He completed his B.E. in Electrical Engineering from L. D. College of Engineering (Gujarat University) in 1998, M. Tech. in Electrical Engineering from Nirma University, and a Ph.D. from the M S University, Baroda, respectively in the year of 2005 and 2010. He has been awarded the title “ING.PAED.IGIP” in 2020.He is a Senior Member of IEEE. He has worked as a Treasurer of IEEE Region-10 during the year 2021. He is currently working as a Chair, Membership Development Committee of IEEE Region-10. He has worked as a Treasurer of IEEE India Council and worked as a Chair of IEEE Gujarat Section during the Year 2017. The areas of Research and Interest include control of power electronic converters, AC drives, Pulse Width Modulated power electronic converters and Power Quality Issues and its mitigation techniques. Various projects have been undertaken and have completed a project funded by GUJCOST (Gujarat Council on Science & Technology) and he is working on a project making “Deep Learning and AI skills” mainstream in India to fulfil trilateral needs of entrepreneurship, Industry-academia partnership and application-inspired Engineering Research. He actively participates and initiates ERASMUS+ for staff mobility and has also completed such a program for teaching between partner countries. A recipient of young Professional Award for travel grant to attend IEEE Section Congress held on 22- 24 August 2014, Amsterdam, Netherlands. He has been working as a member of Board of Studies of Electrical Engineering of the Gujarat state’s largest public Technical University Gujarat Technological University and also a BoS member at PDPU, Gandhinagar.

Dr. Ashish Khanna [IEEE Member’2019, Senior Member’2020, MACM] 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 done a postdoc at INATEL BRAZIL and the University of Valladolid, Spain, Europe. He received his Ph.D. degree from the National Institute of Technology, Kurukshetra, in March 2017. He completed his M. Tech. in 2009 and B. Tech. from GGSIPU, Delhi, in 2004. 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. He also has ten published Patents and 1 granted German Patent to his credit. Additionally, He has co-authored, edited, and edited around 50 books. He has also served as a keynote speaker resource person and given several invitations. He was a resource person speaker and delivered a lecture at the ATAL program at JNU in 2020. He has worked as a Guest Editor in several reputed journals.

Prof. 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 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.