Honeypot-Enabled Optimal Defense Strategy Selection for Smart Grids

Smart grids have been increasingly spotted as high-profile targets of cyber assaults over the years. To better understand the cyber threat landscape, honeypots have been widely used in the smart grid security community, i.e., identifying unauthorized penetration attempts and observing the behaviors in such activities. In this paper, we propose a honeypot-enabled optimal defense strategy selection approach for smart grids, based on a novel stochastic game. Specifically, the interactions between the attacker and smart grid defender are captured using our designed stochastic game, a non-cooperative two-player game with incomplete information. We take into account various possible defenses from a smart grid defender and offensive strate-gies from the attacker. Then the Nash equilibrium is calculated by the stochastic game model, which is derived exhibiting an optimal defense strategy for the smart grid defender. Extensive simulation experiments demonstrate the effectiveness of the proposed scheme.