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Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis (Paperback, 1st ed. 2020) Loot Price: R2,309
Discovery Miles 23 090
Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis (Paperback, 1st ed. 2020): Sujit Rokka Chhetri,...

Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis (Paperback, 1st ed. 2020)

Sujit Rokka Chhetri, Mohammad Abdullah Al Faruque

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Loot Price R2,309 Discovery Miles 23 090 | Repayment Terms: R216 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: February 2021
First published: 2020
Authors: Sujit Rokka Chhetri • Mohammad Abdullah Al Faruque
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 235
Edition: 1st ed. 2020
ISBN-13: 978-3-03-037964-3
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General
LSN: 3-03-037964-7
Barcode: 9783030379643

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