Optimal Stealthy Deception Attack Against Cyber-Physical Systems

Zhang, Qirui; Liu, Kun; Xia, Yuanqing; Ma, Aiqin

doi:10.1109/tcyb.2019.2912622

Cited by 107 publications

(30 citation statements)

References 34 publications

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“…It is even infeasible to attain sufficient physical protection of real assets in smart grids. Thus, it is necessary to develop detection along with inhibition solutions [142].…”

Section: E Smart Grid Physical Vulnerabilitiesmentioning

confidence: 99%

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

et al. 2021

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This paper presents an inclusive review of the cyber-physical (CP) attacks, vulnerabilities, mitigation approaches on the power electronics and the security challenges for the smart grid applications. With the rapid evolution of the physical systems in the power electronics applications for interfacing renewable energy sources that incorporate with cyber frameworks, the cyber threats have a critical impact on the smart grid performance. Due to the existence of electronic devices in the smart grid applications, which are interconnected through communication networks, these networks may be subjected to severe cyber-attacks by hackers. If this occurs, the digital controllers can be physically isolated from the control loop. Therefore, the cyber-physical systems (CPSs) in the power electronic systems employed in the smart grid need special treatment and security. In this paper, an overview of the power electronics systems security on the networked smart grid from the CP perception, as well as then emphases on prominent CP attack patterns with substantial influence on the power electronics components operation along with analogous defense solutions. Furthermore, appraisal of the CPS threats attacks mitigation approaches, and encounters along the smart grid applications are discussed. Finally, the paper concludes with upcoming trends and challenges in CP security in the smart grid applications.

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“…It is even infeasible to attain sufficient physical protection of real assets in smart grids. Thus, it is necessary to develop detection along with inhibition solutions [142].…”

Section: E Smart Grid Physical Vulnerabilitiesmentioning

confidence: 99%

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

et al. 2021

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“…The model is fitted using documented data to simulate considerable volumes for detection. According to Zhang et al [5] the application of the Kullback-Leibler divergence allows detecting stealth attacks, 1 https://www.google.com/url?sa=i&url=http%3A%2F%2Fwww.d efesacibernetica.ime.eb.br%2Fpub%2Frepositorio%2F2012-although, in its genesis, there is the assumption that the traffic targeted for inspection is Gauss distributed. In the prediction model in [6], the DLbased approach merges autoencoder with SVM to register intrusions.…”

Section: Related Workmentioning

confidence: 99%

“…An IDS's primary function is to detect possible threats and communicate them to an administrator by monitoring traffic. More recently, the intrusion prevention system (IPS) has been developed to represent a network security/prevention technology that scans network traffic flows to detect and prevent vulnerability exploits 5 . Generally speaking, the IPS sits behind the firewall, providing a complementary analysis layer.…”

Section: Approachmentioning

confidence: 99%

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2021

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“…25 DoS attacks attempt to block sensor/control data from accessing the communication channel and preventing them reaching their destinations. Deception attacks destroy the NCSs by tampering the control signals and sensor measurements during transmission, 26,27 which is more concealed. Nowadays, security issues of NCSs have become one of the major concerns and received more and more attention.…”

Section: Introductionmentioning

confidence: 99%

Finite‐time adaptive event‐triggered asynchronous state estimation for Markov jump systems with cyber‐attacks

Zha

Liao

Liu

et al. 2021

Intl J Robust & Nonlinear

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This article considers the issue of finite‐time asynchronous state estimation for event‐triggered nonlinear Markovian jump systems subject to cyber‐attacks. An adaptive event‐triggered scheme is introduced to cope with the capacity constraint of the networked resources. It is assumed that the transmitted sensor measurements may experience randomly malicious cyber‐attacks. Considering the effect of the adaptive event‐triggered scheme and the occurrence of cyber‐attacks, we establish a new state estimation error system model. Sufficient conditions of the finite‐time boundedness and the finite‐time boundedness are developed for the augmented system. Then, the design methods of the asynchronous estimator gains are derived, which can ensure the finite‐time boundedness of the estimation error system. Finally, a numerical example is given to show the effectiveness of the theoretical results.

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Optimal Stealthy Deception Attack Against Cyber-Physical Systems

Cited by 107 publications

References 34 publications

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

Untitled

Finite‐time adaptive event‐triggered asynchronous state estimation for Markov jump systems with cyber‐attacks

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