Overview
- Analyzes the secure problems of cyber-physical systems from both the adversary and defender sides
- Presents a combination of some current techniques to handle the challenges of securing CPSs
- Provides some recent novel secure state estimation and control algorithms
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 396)
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Table of contents (12 chapters)
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Front Matter
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Secure Estimation and Control for CPSs Under DoS Attacks
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Front Matter
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Secure Estimation and Control for CPSs Under False Data Injection Attacks
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Front Matter
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Back Matter
Keywords
About this book
This book analyzes the secure problems of cyber-physical systems from both the adversary and defender sides. Targeting the challenging security problems of cyber-physical systems under malicious attacks, this book presents some recent novel secure state estimation and control algorithms, in which moving target defense scheme, zero-sum game-theoretical approach, reinforcement learning, neural networks, and intelligent control are adopted. Readers will find not only the valuable secure state estimation and control schemes combined with the approaches aforementioned, but also some vital conclusions for securing cyber-physical systems, for example, the critical value of allowed attack probability, the maximum number of sensors to be attacked, etc. The book also provides practical applications, example of which are unmanned aerial vehicles, interruptible power system, and robot arm to validate the proposed secure algorithms. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists, and engineers who are working in this field.
Authors and Affiliations
Bibliographic Information
Book Title: Security of Cyber-Physical Systems: State Estimation and Control
Authors: Chengwei Wu, Weiran Yao, Guanghui Sun, Ligang Wu
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-88350-8
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 2022
Hardcover ISBN: 978-3-030-88349-2Published: 20 October 2021
Softcover ISBN: 978-3-030-88352-2Published: 21 October 2022
eBook ISBN: 978-3-030-88350-8Published: 19 October 2021
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXV, 277
Number of Illustrations: 138 illustrations in colour
Topics: Cyber-physical systems, IoT, Control and Systems Theory, Complexity