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Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis (Paperback)

by Sujit Rokka Chhetri, Mohammad Abdullah Al Faruque

Springer

Paperback 252 pages English February 09, 2021

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This book provides a new perspective on modeling cyber-physical systems (CPS), using a data-driven approach. The authors cover the use of state-of-the-art machine learning and artificial intelligence algorithms for modeling various aspect of the CPS. This book provides insight on how a data-driven modeling approach can be utilized to take advantage of the relation between the cyber and the physical domain of the CPS to aid the first-principle approach in capturing the stochastic phenomena affecting the CPS. The authors provide practical use cases of the data-driven modeling approach for securing the CPS, presenting novel attack models, building and maintaining the digital twin of the physical system. The book also presents novel, data-driven algorithms to handle non- Euclidean data. In summary, this book presents a novel perspective for modeling the CPS.
Author:
Sujit Rokka Chhetri, Mohammad Abdullah Al Faruque
Publisher:
Springer
Publication Date:
February 09, 2021
Number of pages:
252 pages
Language:
English
Binding:
Paperback
ISBN-10:
3030379647
ISBN-13:
9783030379643