Security and Privacy of Cyber-Physical Systems
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This book provides a comprehensive analysis of security and privacy in cyber-physical systems, covering threat detection, cryptographic mechanisms, machine learning-based intrusion detection, and blockchain security.

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Produktbeschreibung
This book provides a comprehensive analysis of security and privacy in cyber-physical systems, covering threat detection, cryptographic mechanisms, machine learning-based intrusion detection, and blockchain security.
Autorenporträt
Agbotiname Lucky Imoize is a Lecturer in the Department of Electrical and Electronics Engineering at the University of Lagos, Nigeria. His research interests include 6G wireless communications, wireless security systems, holographic metasurfaces, and artificial intelligence. He is a Fulbright fellow, the vice chair of the IEEE Communication Society Nigeria chapter, and a registered engineer with the Council for the Regulation of Engineering in Nigeria. He is a senior member of IEEE. Webert Montlouis is a Chief Scientist at Johns Hopkins University, where he shares his time between the Applied Physics Laboratory (APL) and the Electrical and Computer Engineering department. He received his Ph.D. degree in electrical engineering from Northeastern University, Boston, MA, USA. His research interests are Communications, Adaptive Signal Processing, Robust Tracking and Localization, Algorithm Development, System-On-Chip implementation of DSP algorithms, Networking, and Antenna Array Signal Processing. He is a Fellow of IEEE, AAIA, and AIIA. Segun I. Popoola is a senior lecturer at the School of Computing and Information Science at Anglia Ruskin University, United Kingdom. He received a Ph.D. degree in cyber security and artificial intelligence from the Department of Engineering, Faculty of Science and Engineering, Manchester Metropolitan University, Manchester, U.K., in 2022. In June 2022, The Royal Society, United Kingdom endorsed him as a Global Exceptional Talent. His research interests include wireless communications, deep learning, federated learning, cyber security, the Internet of Things, and smart critical infrastructure. Mohammad Hammoudeh received a B.Sc. degree in computer communications from Arts Sciences and Technology University in 2004, an M.Sc. degree in advanced distributed systems from the University of Leicester in 2006, and a Ph.D. degree in computer science from the University of Wolverhampton in 2008. He is the Saudi Aramco Chair Professor of Cyber Security with the King Fahd University of Petroleum and Minerals. His research interests include the applications of zero trust security to internet-connected critical national infrastructures, blockchains, and other complex and highly decentralized systems.