Abstract — In this paper, we consider a scenario in which a mobile intruder jams the communication network in a vehicular formation. We formulate the problem as a zero-sum pursuitevasion game with players possessing heterogeneous dynamics. We use Isaacs ’ approach to derive the necessary conditions to arrive at the equations governing the saddle-point strategies of the team of players. I.

analysis of an aerial jamming attack on a UAV

In this work, we investigate a jamming attack on the communication network of a team of UAVs flying in a formation. We propose a communication and motion model for the UAVs. The communication model provides a relation in the spatial domain for effective jamming by an aerial intruder. We formulate the problem as a zero-sum pursuit-evasion game. In our earlier work we used Isaacs ’ approach to obtain motion strategies for a pair of UAVs to evade the jamming attack. We also provided motion strategies for an aerial intruder to jam the communication between a pair of UAVs. In this work, we extend the analysis to multiple jammers and multiple UAVs flying in a formation. We analyze the problem in the framework of differential game theory, and provide analytical and approximate techniques to compute the motion strategies of the UAVs. 1

In the last two decades, there has been an enormous effort to deploy a network of autonomous mobile platforms in various scenarios related to military as well as civilian applications. Interesting research problems related to security range from the development of secure communication protocols for a network of autonomous mobile agents to the development of novel deployment algorithms for a group of mobile agents trying to secure a network or an area from malicious intruders. In this thesis, we investigate the interaction between the mobile agents and an intruder in the environment or the communication network. In contradistinction to the previous research in this area, we model the intrusion as a pursuit-evasion game in continuous time and space. We model the intruder as an antagonistic agent and apply tools from differential game theory in order to obtain the optimal motion strategies for the agents to track the intruder as well as evade intrusion.

Abstract—In this work, a mobility based perspective of jamming among autonomous vehicles is presented, based on our work in [32], [33], [34] and [31]. The framework of differential game theory is extended from the classical two-player scenario to multiplayer games involving two teams. Necessary conditions satisfied by the optimal trajectories are derived under assumptions of uniqueness and existence of the optimal trajectories. Finally, results are presented for several simulation scenarios involving different numbers of vehicles and their dynamics.

In the last two decades, there has been an enormous effort to deploy a network of autonomous mobile platforms in various scenarios related to military as well as civilian applications. Interesting research problems related to security range from the development of secure communication protocols for a network of autonomous mobile agents to the development of novel deployment algorithms for a group of mobile agents trying to secure a network or an area from malicious intruders. In this thesis, we investigate the interaction between the mobile agents and an intruder in the environment or the communication network. In contradistinction to the previous research in this area, we model the intrusion as a pursuit-evasion game in continuous time and space. We model the intruder as an antagonistic agent and apply tools from differential game theory in order to obtain the optimal motion strategies for the agents to track the intruder as well as evade intrusion.