Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis
Author | : Sujit Rokka Chhetri |
Publisher | : Springer Nature |
Total Pages | : 240 |
Release | : 2020-02-08 |
ISBN-10 | : 9783030379629 |
ISBN-13 | : 3030379620 |
Rating | : 4/5 (29 Downloads) |
Download or read book Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis written by Sujit Rokka Chhetri and published by Springer Nature. This book was released on 2020-02-08 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.