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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書(shū)目名稱(chēng)Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis讀者反饋




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高談闊論

小母馬

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

figment

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.

做事過(guò)頭

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.

上流社會(huì)

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

上流社會(huì)

排名真古怪

sulcus

梯田

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. .