Data-Driven Modeling of Cyber-Physical Systems using Side-Channel AnalysisКНИГИ » ТЕХНИЧЕСКИЕ НАУКИ
Название: Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis Автор: Sujit Rokka Chhetri, Mohammad Abdullah Al Faruque Издательство: Springer Год: 2020 Формат: True PDF Страниц: 235 Размер: 10.3 Mb Язык: English
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.
Machine Learning for Cyber Physical Systems Название: Machine Learning for Cyber Physical Systems Автор: Beyerer Jürgen, Niggemann Oliver, Kühnert Christian Издательство: Springer...
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Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis 
