A game-theoretic approach to modeling attacks and defenses of smart grids at three levels. (March 2020)

• Record Type: Journal Article
• Authors: Shan, Xiaojun Gene; Zhuang, Jun
• Is Part Of: Reliability engineering & system safety. Volume 195(2020)
• Publication Date: 2020-03
• Subjects: Smart grid -- Game theory -- Cyber-physical security -- Decision analysis; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2019.106683
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: We use game theory to model three-levels of defenses and attacks. We consider power plants, transmission, and distribution networks. We find the defense depends on the spread from connected networks. This paper provides some novel insights to smart grid networks. Abstract: As optimization, user capabilities, and data-taking abilities are incorporated into next-generation power grids, or smart grids, they face cyber threats. The traditional electrical grid could only be damaged by physical attacks; however, the smart grid can suffer remote/cyber attacks, which have not been studied extensively in the literature. The electrical grid forms the backbone of the modern society and its security has significant implications in military settings. This paper applies game theory to model three-levels (power plants, transmission, and distribution networks) of defenses and attacks in smart grid network security. We characterize both the attacker and the defender (who interact at three network levels: distribution, transmission, and power plants) best responses and equilibrium strategies. We find that the defender's best response is not only a function of direct attacks but also of the spread from connected networks. Sensitivity analyses of the equilibrium strategies show that when success probability of an attack against power plants reaches a threshold, the defender increases defending efforts for power plants. In contrast, the attack effort at all levels is not affected by this probability. This paper provides some novel insights to modeling and analyzing the emerging threats to the growing smart grid networks.