Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis

Rokka Chhetri, Sujit; Al Faruque, Mohammad Abdullah

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.

Details

Published by: Springer

Publication Date: 2021-02-09

Format: Paperback

ISBN-13: 9783030379643

DOI: 10.1007/978-3-030-37962-9

Dimensions: 235cm x155cm

Pages: 235