CPIndex: Cyber-Physical Vulnerability Assessment for Power-Grid Infrastructures

Vellaithurai, Ceeman; Srivastava, Anurag K.; Zonouz, Saman; Berthier, Robin

doi:10.1109/tsg.2014.2372315

Cited by 137 publications

(57 citation statements)

References 16 publications

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“…Another testbed [20] shows the cyber security vulnerability of the control system using NSTB, which can be easily extended to this testbed. Srivastava et al [21] and Vellaithurai et al [22] presented an integrated cyber-physical vulnerability analysis and utilized for the real-time modeling.…”

Section: A Vulnerability Assessmentmentioning

confidence: 99%

Analyzing the Cyber-Physical Impact of Cyber Events on the Power Grid

Liu

Vellaithurai²,

Biswas

et al. 2015

IEEE Trans. Smart Grid

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185

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With ongoing smart grid activities, advancements in information and communication technology coupled with development of sensors are utilized for better situational awareness, decision support, and control of the power grid. However, it is critical to understand the complex interdependencies between cyber and power domains, and also the potential impacts of cyber events on the power grid. In this paper, the impact of three different possible cyber events on physical power grid have been analyzed using an integrated cyber-power modeling and simulation testbed. Real-time modeling of end-to-end cyberpower systems have been developed with hardware-in-the-loop capabilities. Real-time digital simulator, synchrophasor devices, DeterLab, and network simulator-3 are utilized in this developed testbed with a wide-area control algorithm and associated closedloop control. DeterLab can be used to model real-life cyber events in the developed cyber-physical testbed. Man-in-the-middle and denial-of-service attacks have been modeled as specific cases for the IEEE standard test cases. Additionally, communication failure impact on the power grid has been analyzed using the testbed.

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Section: A Vulnerability Assessmentmentioning

confidence: 99%

Analyzing the Cyber-Physical Impact of Cyber Events on the Power Grid

Liu

Vellaithurai²,

Biswas

et al. 2015

IEEE Trans. Smart Grid

Self Cite

185

View full text Add to dashboard Cite

show abstract

“…Consequently, this calls for integrated cyber-physical modeling approaches. The authors of [9] explicitly state that a combined cyber-physical analysis is required to establish the impacts of a cyber-attack event on the physical system. Such analysis methods can enable the development of methods to mitigate the physical impacts based on procedures carried out in the cyber-layer.…”

Section: Introductionmentioning

confidence: 99%

Using Self-Organizing Architectures to Mitigate the Impacts of Denial-of-Service Attacks on Voltage Control Schemes

Cameron

Patsios

Taylor

et al. 2019

IEEE Trans. Smart Grid

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Modern power systems are becoming increasingly decentralized, with a greater degree of observability provided through a network of sensors and local controllers in addition to existing centralized SCADA platforms. However, the interconnectivity between sensors and controllers creates potential vulnerabilities which can be exploited by a cyberattack. The majority of components installed on the grid were designed with little or no consideration for aspects of cybersecurity and therefore leaving the network at risk of economic loss, asset damage or widespread blackouts. Present research in cyber-attack events and electrical grid resilience, often treats these in isolation. Furthermore, the ICT infrastructure in modern electrical networks is not tested as rigorously in terms of reliability and security as the physical assets. Therefore, an integrated approach is needed for the analysis of cyber-threats against power systems, linking the attack mechanisms in the ICT layer and the physical impacts at the electrical layer. This paper introduces a method of self-organizing communication architectures that for the first time has been applied to the problem of mitigating the negative impacts of Denial of Service cyber-attacks in the Smart Grid and demonstrates the benefits of this in a novel integrated environment connecting power system modeling and communication layer simulation. The paper demonstrates and quantifies the advantages of self-organization in terms of computational burden and voltage control in a distribution network experiencing multiple attack formats and increasing numbers of attackers.

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“…The budget for sustainable maintenance should take numerical risk evaluation results into consideration first. A security-oriented stochastic risk management technique, CPINDEX, is presented in Reference [21]. It measures the security level of the cyber-physical system by cyber-physical security indexes.…”

Section: Introductionmentioning

confidence: 99%

Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS

Fan

Zhang

et al. 2019

Sustainability

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In the increasingly complex cyber-environment, appropriate sustainable maintenance of substation auto systems (SASs) can lead to many positive effects on power cyber-physical systems (CPSs). Evaluating the cybersecurity risk of power CPSs is the first step in creating sustainable maintenance plans for SASs. In this paper, a mathematical framework for evaluating the cybersecurity risk of a power CPS is proposed considering both the probability of successful cyberattacks on SASs and their consequences for the power system. First, the cyberattacks and their countermeasures are introduced, and the probability of successful cyber-intruding on SASs is modeled from the defender’s perspective. Then, a modified hypergraph model of the SAS’s logical structure is established to quantitatively analyze the impacts of cyberattacks on an SAS. The impacts will ultimately act on the physical systems of the power CPS. The modified hypergraph model can describe more information than a graph or hypergraph model and potentially can analyze complex networks like CPSs. Finally, the feasibility and effectiveness of the proposed evaluation method is verified by the IEEE 14-bus system, and the test results demonstrate that this proposed method is more reasonable to assess the cybersecurity risk of power CPS compared with some other models.

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CPIndex: Cyber-Physical Vulnerability Assessment for Power-Grid Infrastructures

Cited by 137 publications

References 16 publications

Analyzing the Cyber-Physical Impact of Cyber Events on the Power Grid

Analyzing the Cyber-Physical Impact of Cyber Events on the Power Grid

Using Self-Organizing Architectures to Mitigate the Impacts of Denial-of-Service Attacks on Voltage Control Schemes

Supporting Sustainable Maintenance of Substations under Cyber-Threats: An Evaluation Method of Cybersecurity Risk for Power CPS

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