OPTIMIZING DISTRIBUTED SYSTEM SECURITY:MACHINE LEARNING BASED CYBERATTACK CORRELATION AND MITIGATION
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Existing optimization methods that model the interactions between the attacker and the power system operator (defender) assume knowledge of the attacker’s parameters.Abstract
Cyber-physical system security for electric distribution systems is critical. In direct switching attacks,often coordinated, attackers seek to toggle remote-controlled switches in the distribution network. Due to the typically radial operation, certain configurations may lead to outages and/or voltage violations.Existing optimization methods that model the interactions between the attacker and the power system
operator (defender) assume knowledge of the attacker’s parameters.
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Electricity Information Sharing and Analysis Center (E-ISAC). (Mar. 2016). Analysis of the Cyber Attack on the Ukrainian Power Grid, Electricity Information Sharing and Analysis Center (E-ISAC), [Online]. Available: https://nsarchive.gwu.edu/sites/default/file
s/ documents/3891751/SANS-and- Electricity-Information-Sharing-and.pdf [2] H. Zhang, B. Liu, and H. Wu, ‘‘Smart grid cyber-physical attack and defense: A review,’’ IEEE Access, vol. 9, pp. 29641– 29659, 2021.
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