Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis (Paperback)
Paperback 252 pages English February 09, 2021
(No reviews yet)
Write a Review
Write a Review
Springer
Data-Driven Modeling of Cyber-Physical Systems Using Side-Channel Analysis (Paperback)
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
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