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

Af: Mohammad Abdullah Al Faruque, Sujit Rokka Chhetri Engelsk Paperback

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

Af: Mohammad Abdullah Al Faruque, Sujit Rokka Chhetri Engelsk Paperback
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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.

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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.

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Produktdetaljer
Sprog: Engelsk
Sider: 235
ISBN-13: 9783030379643
Indbinding: Paperback
Udgave:
ISBN-10: 3030379647
Kategori: Kybernetik og systemteori
Udg. Dato: 9 feb 2021
Længde: 17mm
Bredde: 235mm
Højde: 156mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 9 feb 2021
Forfatter(e): Mohammad Abdullah Al Faruque, Sujit Rokka Chhetri
Forfatter(e) Mohammad Abdullah Al Faruque, Sujit Rokka Chhetri

Kategori Kybernetik og systemteori

ISBN-13 9783030379643

Sprog Engelsk

Indbinding Paperback

Sider 235

Udgave

Længde 17mm

Bredde 235mm

Højde 156mm

Udg. Dato 9 feb 2021

Oplagsdato 9 feb 2021

Forlag Springer Nature Switzerland AG

Kategori sammenhænge