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Titlebook: Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis; Sujit Rokka Chhetri,Mohammad Abdullah Al Faruque Book 2020 Spr

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發(fā)表于 2025-3-21 18:42:05 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis
編輯Sujit Rokka Chhetri,Mohammad Abdullah Al Faruque
視頻videohttp://file.papertrans.cn/264/263302/263302.mp4
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
圖書封面Titlebook: Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis;  Sujit Rokka Chhetri,Mohammad Abdullah Al Faruque Book 2020 Spr
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
關(guān)鍵詞Design Automation of Cyber-Physical Systems; Security of Cyber-Physical Systems; IoT-enabled Living Di
版次1
doihttps://doi.org/10.1007/978-3-030-37962-9
isbn_softcover978-3-030-37964-3
isbn_ebook978-3-030-37962-9
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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https://doi.org/10.1007/978-3-642-69000-6er-attacks by identifying anomalous analog emissions which arise as an outcome of the attack. This is achieved by statistically estimating functions that map the relation between the analog emissions and the corresponding cyber-domain data (such as G-code) to model the behavior of the system. We wil
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Maria M. Hedblom,Oliver Kutz,Fabian Neuhausucts being manufactured while keeping itself up-to-date. We achieve this by exploring and utilizing the side-channels (emissions such as acoustics, power, magnetic, etc.) of the system that unintentionally reveal the cyber and physical state of the system.
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Data-Driven Attack Modeling Using Acoustic Side-Channelch can be utilized to model an attack using acoustic side-channel. As a case study, we take cyber-physical additive manufacturing systems (fused deposition modeling based 3D printer) to demonstrate how the acoustic side-channel can be used to breach the confidentiality of the system.
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Data-Driven Kinetic Cyber-Attack Detectioner-attacks by identifying anomalous analog emissions which arise as an outcome of the attack. This is achieved by statistically estimating functions that map the relation between the analog emissions and the corresponding cyber-domain data (such as G-code) to model the behavior of the system. We wil
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Book 2020ing 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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