Editors:
- Focuses on the applications of AI in hardening CPS against conventional and unconventional attack vectors
- Covers diverse methods or hardening software, hardware, firmware, infrastructure, and communication channels in CPS
- Is an excellent reference focusing on in the application of AI for designing and developing secure and dependable CPS
Part of the book series: Engineering Cyber-Physical Systems and Critical Infrastructures (ECPSCI, volume 2)
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Table of contents (10 chapters)
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Front Matter
About this book
This book presents advances in security assurance for cyber-physical systems (CPS) and report on new machine learning (ML) and artificial intelligence (AI) approaches and technologies developed by the research community and the industry to address the challenges faced by this emerging field.
Cyber-physical systems bridge the divide between cyber and physical-mechanical systems by combining seamlessly software systems, sensors, and actuators connected over computer networks. Through these sensors, data about the physical world can be captured and used for smart autonomous decision-making.
This book introduces fundamental AI/ML principles and concepts applied in developing secure and trustworthy CPS, disseminates recent research and development efforts in this fascinating area, and presents relevant case studies, examples, and datasets. We believe that it is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff.Editors and Affiliations
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Department of Electrical and Computer Engineering, University of Victoria, Victoria, Canada
Issa Traore
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Department of Computer Science, Ryerson University, Toronto, Canada
Isaac Woungang
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School of Computer Science, University of Windsor, Windsor, Canada
Sherif Saad
Bibliographic Information
Book Title: Artificial Intelligence for Cyber-Physical Systems Hardening
Editors: Issa Traore, Isaac Woungang, Sherif Saad
Series Title: Engineering Cyber-Physical Systems and Critical Infrastructures
DOI: https://doi.org/10.1007/978-3-031-16237-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-16236-7Published: 24 November 2022
Softcover ISBN: 978-3-031-16239-8Published: 24 November 2023
eBook ISBN: 978-3-031-16237-4Published: 23 November 2022
Series ISSN: 2731-5002
Series E-ISSN: 2731-5010
Edition Number: 1
Number of Pages: XIV, 233
Number of Illustrations: 17 b/w illustrations, 49 illustrations in colour
Topics: Cyber-physical systems, IoT, Data Engineering, Computational Intelligence, Big Data, Artificial Intelligence