Cyber Risks Assessment For Intelligent And Non-Intelligent Attacks In Power System

Sheela, A.; Revathi, S.; Iqbal, Atif

doi:10.1109/icpedc47771.2019.9036522

Cited by 4 publications

(1 citation statement)

References 15 publications

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“…Nourian and Madnick [8] utilized a system theoretic framework to evaluate and enhance the security of CPS. Sheela et al [9] presented a systematic approach to estimate cyber risks for intelligent and non-intelligent attacks in power system. Zhu et al [10] presented a hierarchical flow model (HFM) for accessing the impact of cyber attacks on critical infrastructures.…”

Section: Safety and Cyber-security Risk Assessment For Cpsmentioning

confidence: 99%

Bayesian Network Based C2P Risk Assessment for Cyber-Physical Systems

2020

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Cyber-Physical Systems (CPS) refer to a new generation of intelligent systems with integrated computational performance and physical capabilities. However, with the expansion of system complexity and the enhancement of system openness, most CPS become not only safety-critical but also security-critical since they involv physical objects, computer networks and communications. In the past decade, it is no longer rare to see safety incidents and security attacks happening in industries. Identifying risks in CPS is critical to ensure the normal operation of these systems. The Cyber-to-Physical (C2P) risk is defined as the impact of cyber threats on physical process safety. In this paper, a C2P risk assessment model based on hierarchical Bayesian Network (BN) is proposed, and the feasibility of this model is verified by constructing two undesired event scenarios on a typical CPS. The quantitative risk values are explained and compared through qualitative risk analysis and assessment. INDEX TERMS Cyber-physical systems, CPS, C2P risk, risk assessment, Bayesian network.

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Section: Safety and Cyber-security Risk Assessment For Cpsmentioning

confidence: 99%