標(biāo)題: Titlebook: Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis; Sujit Rokka Chhetri,Mohammad Abdullah Al Faruque Book 2020 Spr [打印本頁] 作者: Asphyxia 時(shí)間: 2025-3-21 18:42
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis影響因子(影響力)
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis影響因子(影響力)學(xué)科排名
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis網(wǎng)絡(luò)公開度
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis被引頻次
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis被引頻次學(xué)科排名
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書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis年度引用學(xué)科排名
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis讀者反饋
書目名稱Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis讀者反饋學(xué)科排名
作者: 高談闊論 時(shí)間: 2025-3-21 20:57 作者: 小母馬 時(shí)間: 2025-3-22 00:54
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作者: figment 時(shí)間: 2025-3-22 05:45
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.作者: 做事過頭 時(shí)間: 2025-3-22 11:01
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.作者: 上流社會(huì) 時(shí)間: 2025-3-22 16:11
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作者: 上流社會(huì) 時(shí)間: 2025-3-22 19:53 作者: 排名真古怪 時(shí)間: 2025-3-22 22:45 作者: sulcus 時(shí)間: 2025-3-23 04:02 作者: 梯田 時(shí)間: 2025-3-23 09:20
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. .作者: BALK 時(shí)間: 2025-3-23 11:01 作者: Expostulate 時(shí)間: 2025-3-23 16:42 作者: 剝皮 時(shí)間: 2025-3-23 18:04
Aiding Data-Driven Attack Model with a Compiler Modificationigh level of stealth. We present an implementation of such a compiler here and demonstrate how it can increase the success rate of recovering G/M-codes from the four side-channels (acoustic, power, vibration, and electromagnetic) by up to 39% compared to previously proposed data-driven attack model.作者: Anthem 時(shí)間: 2025-3-23 23:40
Data-Driven Defense Through Leakage Minimizationate how by changing either machine process or product design parameters in the cyber-domain, we can minimize the information leakage. The methodology presented in this chapter aids the existing cyber-domain and physical domain security solution by utilizing the cross-domain relationship.作者: 滋養(yǎng) 時(shí)間: 2025-3-24 06:01 作者: Morphine 時(shí)間: 2025-3-24 06:52
g CPS.Describes practical applications for securing the CPS .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 作者: 摘要 時(shí)間: 2025-3-24 11:26
Word Meaning and Word Recognitionyber and physical domains. Using this framework, we will demonstrate how we can determine if various security requirements such as confidentiality, availability, and integrity are met. We will analyze the proposed framework for performing a security analysis of a cyber-physical additive manufacturing system.作者: expire 時(shí)間: 2025-3-24 17:22 作者: 無法破譯 時(shí)間: 2025-3-24 21:49
Problems with Linear Capacity Constraintss, govern the physical dynamics of the system. Due to the juxtaposition of cross-layer components (., etc.) and cross-domain components, CPS provides various technology solutions to multiple fields (., etc.).作者: Cougar 時(shí)間: 2025-3-25 03:10
Persuasive Function of Languageto figure out if they behave as side-channels, informing about the various states of both cyber and physical domains. Then, we will present a dynamic data-driven application system enabled digital twin, which is able to check if it is the most up-to-date version of the physical twin.作者: Chauvinistic 時(shí)間: 2025-3-25 04:30
Danny de Jesús Gómez-Ramírez,Alan Smaillvel dynamic graph embedding algorithm to handle this issue. In the rest of the chapter, we consider temporally evolving graphs as the non-euclidean data and present an algorithm capable of capturing the pattern of time-varying links.作者: Cardioversion 時(shí)間: 2025-3-25 07:40
Introduction,s, govern the physical dynamics of the system. Due to the juxtaposition of cross-layer components (., etc.) and cross-domain components, CPS provides various technology solutions to multiple fields (., etc.).作者: 平淡而無味 時(shí)間: 2025-3-25 15:42 作者: Ingrained 時(shí)間: 2025-3-25 17:20
Dynamic Graph Embeddingvel dynamic graph embedding algorithm to handle this issue. In the rest of the chapter, we consider temporally evolving graphs as the non-euclidean data and present an algorithm capable of capturing the pattern of time-varying links.作者: 左右連貫 時(shí)間: 2025-3-25 20:50 作者: 巫婆 時(shí)間: 2025-3-26 01:56
Non-euclidean Data-Driven Modeling Using Graph Convolutional Neural Networkson data-driven modeling algorithms for non-euclidean data. We specifically focus on developing algorithms for handling non-euclidean data present in cyber-physical systems. To this end, in this chapter we present a novel non-euclidean data-driven modeling approach using graph convolutional neural network.作者: Externalize 時(shí)間: 2025-3-26 07:42 作者: 四海為家的人 時(shí)間: 2025-3-26 08:42
978-3-030-37964-3Springer Nature Switzerland AG 2020作者: 名義上 時(shí)間: 2025-3-26 13:58 作者: Rheumatologist 時(shí)間: 2025-3-26 17:42
https://doi.org/10.1007/b101764ion in the cyber-domain manifests in terms of physical actions (such as motion, temperature change, etc.). However, this interaction may make the system vulnerable to physical-to-cyber domain attacks. These attacks affect the confidentiality of the system by utilizing the physical actions, which are作者: 梯田 時(shí)間: 2025-3-26 23:40
https://doi.org/10.1007/978-3-642-69000-6o completely reconstruct the G/M-code due to lack of enough information leakage through the side-channels. In this chapter, we present a novel way to amplify the information leakage and thus boost the chances of recovery of G/M-code by surreptitiously altering the compiler. By using this compiler, a作者: CAMEO 時(shí)間: 2025-3-27 03:41
The Conceptual Basis for Languageers utilize the side-channels (such as acoustics, power, electromagnetic emissions, and so on) in the physical domain to estimate and steal cyber-domain data (such as G/M-codes). Since these emissions depend on the physical structure of the system, one way to minimize the information leakage is to m作者: Opponent 時(shí)間: 2025-3-27 08:42 作者: gain631 時(shí)間: 2025-3-27 11:53
Word Meaning and Word Recognitioncally, we will present a novel conditional generative adversarial network-based modeling approach to abstract and estimate the relations between the cyber and physical domains. Using this framework, we will demonstrate how we can determine if various security requirements such as confidentiality, av作者: Indicative 時(shí)間: 2025-3-27 14:27
Persuasive Function of Languagenown as the “digital twin,” will help in maintaining the process quality effectively by allowing easy visualization and incorporation of cognitive capability in the system. In this chapter, we will tackle two issues regarding the digital twin: (1) modeling the digital twin by extracting information 作者: staging 時(shí)間: 2025-3-27 18:33
Maria M. Hedblom,Oliver Kutz,Fabian Neuhausation, diagnostics, and prognostics of machines and products. Traditionally, building a digital twin requires many built-in sensors to monitor various physical phenomena associated with cyber-physical systems such as vibration, energy consumption, etc. However, many legacy manufacturing systems do n作者: intrigue 時(shí)間: 2025-3-27 23:11 作者: Favorable 時(shí)間: 2025-3-28 04:59 作者: Amnesty 時(shí)間: 2025-3-28 06:43
Sujit Rokka Chhetri,Mohammad Abdullah Al FaruqueProvides 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 作者: BORE 時(shí)間: 2025-3-28 11:41
http://image.papertrans.cn/d/image/263302.jpg作者: Ostrich 時(shí)間: 2025-3-28 16:42
Introduction,omain processes consist of actuators which are coordinated and controlled by the computational components via a communication network, where the computational processes are usually affected by the feedback provided by the sensors in the physical domain. In the cyber-domain, the computational and com作者: 激怒某人 時(shí)間: 2025-3-28 21:16 作者: muscle-fibers 時(shí)間: 2025-3-28 23:03
Aiding Data-Driven Attack Model with a Compiler Modificationo completely reconstruct the G/M-code due to lack of enough information leakage through the side-channels. In this chapter, we present a novel way to amplify the information leakage and thus boost the chances of recovery of G/M-code by surreptitiously altering the compiler. By using this compiler, a作者: 身體萌芽 時(shí)間: 2025-3-29 06:59
