The book "Blockchain and AI in Cyber Physical System (CPS)" explores the intersection of blockchain technology, artificial intelligence (AI), and cyber physical systems (CPS). It discusses how these technologies can be integrated to create secure and efficient CPS solutions.
The book covers various topics, including the basics of blockchain and AI, their applications in CPS, and the challenges of integrating these technologies. It also explores real-world examples of how blockchain and AI are being used in CPS, such as in smart cities, transportation systems, and healthcare.
The authors delve into the technical aspects of how blockchain and AI can be used together to enhance CPS security, data privacy, and interoperability. They also discuss the potential benefits and limitations of these technologies and provide insights into the future of CPS.
Overall, this book provides a comprehensive overview of the use of blockchain and AI in CPS, making it a valuable resource for researchers, professionals, and students in the fields of computer science, engineering, and cybersecurity.
About the Author: Dr. Muhammad Arif is a research scholar at the School of Computer Science in Guangzhou University, China. His research interests include Artificial intelligence, big data, cloud computing, and cyberspace security, data mining, image processing, medical image processing, Privacy, Security, and E-learning. Currently, he is working privacy and security of vehicular networks. Previously he was a lecturer at the University of Gujrat, Gujrat, Pakistan.
Prof. Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation.
Dr. Md Tabrez Nafis is working as an Assistant Professor in the Department of Computer Science & Engineering, Jamia Hamdard(Deemed University), New Delhi, India. He has a rich experience of more than 12 years in the field of Computer Science and Engineering. Dr. Nafis is an Associate Editor of International Journal of End-User Computing and Development (IJEUCD), published by IGI Global, USA. His research interest areas are Big Data, Machine Learning, Health Informatics & IoT.
Dr. Nawab Muhammad Faseeh Qureshi is an Assistant Professor at Sungkyunkwan University, Seoul, South Korea. His research interests include big data analytics, context-aware data processing of the Internet of Things, and cloud computing.
Dr. Samar Wazir is working as Assistant Professor at the Department of Computer Science and Engineering at the Jamia Hamdard University and also serving as University NCC officer. His area of interest is Association Rule Mining. He has published many papers on a wide range of topics in Frequent Itemset Mining, Probability, Fuzzy Theory and OWA.
