Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis
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Overview
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.
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Details
- ISBN-13: 9783030379612
- ISBN-10: 3030379612
- Publisher: Springer
- Publish Date: February 2020
- Dimensions: 9.21 x 6.14 x 0.63 inches
- Shipping Weight: 1.17 pounds
- Page Count: 235
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