Stackelberg game under asymmetric information in unmanned aerial vehicle swarm active deception defense: from a multi-layer network perspective

Abstract

The use of unmanned aerial vehicle (UAV) swarm has appeared in various fields. The UAV swarm shows its network characteristics, and it is necessary to evaluate the performance of the UAV swarm from the perspective of the network. However, the previous UAV swarm network modeling work is to simply model the UAV swarm from the perspective of a single-layer network. We use a multi-layer network to model the UAV swarm more accurately. Game theory provides a suitable theoretical framework for attack and defense confrontation. In the past, most of the research on the network attack and defense game was based on the complete information to both sides. However, in reality, the attacker may only have incompletely accurate information. Our work is based on the information asymmetry between the attacker and the defender, that is, the attacker can only grasp the false information leaked by the defender, and establish an asymmetric information Stackelberg game model based on sequential game theory. When UAV swarm decision makers use false networks for active defense, they can effectively increase the defender's equilibrium payoff.