| 书目名称 | Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis | | 编辑 | Sujit Rokka Chhetri,Mohammad Abdullah Al Faruque | | 视频video | | | 概述 | Provides an introduction to the data-driven modeling of cyber-physical systems (CPS), to aid in capturing the stochastic phenomenon affecting CPS.Describes practical applications for securing the CPS | | 图书封面 |  | | 描述 | .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. . | | 出版日期 | Book 2020 | | 关键词 | Design Automation of Cyber-Physical Systems; Security of Cyber-Physical Systems; IoT-enabled Living Di | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-37962-9 | | isbn_softcover | 978-3-030-37964-3 | | isbn_ebook | 978-3-030-37962-9 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 18:42:05
