Study on attack paths of cyber attack in cyber‐physical power systems

Chen, Lei; Yue, Dong; Dou, Chunxia; Chen, Jianbo; Cheng, Zihao

doi:10.1049/iet-gtd.2019.1330

Cited by 34 publications

(14 citation statements)

References 40 publications

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“…The integrity destruction is obtained in replay attack, man-in-the-middle attack, and wrong information due to false data injection (FDI), whose common layouts are FDI attacks. The confidentiality destruction is obtained in internal employee attack, utilization of malware, and illegal usage and data leakage, whose common layout is brute force password cracking [13,14]. As a common way to destroy the integrity of information, the FDIA is able to interrupt the outcomes of state estimation analysis, therefore misleading the control center's decision.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare

et al. 2020

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Using blockchain technology as one of the new methods to enhance the cyber and physical security of power systems has grown in importance over the past few years. Blockchain can also be used to improve social welfare and provide sustainable energy for consumers. In this article, the effect of distributed generation (DG) resources on the transmission power lines and consequently fixing its conjunction and reaching the optimal goals and policies of this issue to exploit these resources is investigated. In order to evaluate the system security level, a false data injection attack (FDIA) is launched on the information exchanged between independent system operation (ISO) and under-operating agents. The results are analyzed based on the cyber-attack, wherein the loss of network stability as well as economic losses to the operator would be the outcomes. It is demonstrated that cyber-attacks can cause the operation of distributed production resources to not be carried out correctly and the network conjunction will fall to a large extent; with the elimination of social welfare, the main goals and policies of an independent system operator as an upstream entity are not fulfilled. Besides, the contracts between independent system operators with distributed production resources are not properly closed. In order to stop malicious attacks, a secured policy architecture based on blockchain is developed to keep the security of the data exchanged between ISO and under-operating agents. The obtained results of the simulation confirm the effectiveness of using blockchain to enhance the social welfare for power system users. Besides, it is demonstrated that ISO can modify its polices and use the potential and benefits of distributed generation units to increase social welfare and reduce line density by concluding contracts in accordance with the production values given.

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Section: Introductionmentioning

confidence: 99%

Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare

et al. 2020

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“…These patches may trigger other procedures that may interfere with the system's operation. Since these systems' availability can compensate for the high risks of the vulnerabilities, they endure unpatched [121].…”

Section: Financial Threatsmentioning

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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“…PCAs target the performance of SGSs by injecting manipulated data or altering the transmitted data [4]. Among the widespread smart grids, power systems, in particular, have been subjected to numerous PCAs in recent years [5], [6], eliciting the need for systems for automatic PCA detection. The task of PCAs detection is often treated as a supervised form problem in which the labels and nature of attacks are pre-determined [7], [8].…”

Section: Introductionmentioning

confidence: 99%

STEP-GAN: A One-Class Anomaly Detection Model with Applications to Power System Security

Adiban

Safari

Salvi

2021

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Smart grid systems (SGSs), and in particular power systems, play a vital role in today's urban life. The security of these grids is now threatened by adversaries that use false data injection (FDI) to produce a breach of availability, integrity, or confidential principles of the system. We propose a novel structure for the multigenerator generative adversarial network (GAN) to address the challenges of detecting adversarial attacks. We modify the GAN objective function and the training procedure for the malicious anomaly detection task. The model only requires normal operation data to be trained, making it cheaper to deploy and robust against unseen attacks. Moreover, the model operates on the raw input data, eliminating the need for feature extraction. We show that the model reduces the well-known mode collapse problem of GAN-based systems, it has low computational complexity and considerably outperforms the baseline system (OCAN) with about 55% in terms of accuracy on a freely available cyber attack dataset.

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Study on attack paths of cyber attack in cyber‐physical power systems

Cited by 34 publications

References 40 publications

Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare

Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare

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

STEP-GAN: A One-Class Anomaly Detection Model with Applications to Power System Security

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