On Modeling of Adversary Behavior and Defense for Survivability of Military MANET Applications
U.S. Army Research Laboratory Adelphi United States
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In this paper we develop a methodology and report preliminary results for modeling attackdefense behaviors for achieving high survivability of military mobile ad hoc networks MANETs. Our methodology consists of 3 steps. The first step is to model adversary behavior of capture attackers and inside attackers which can dynamically and adaptively trigger the best attack strategies while avoiding detection and eviction. The second step is to model defense behavior of defenders utilizing intrusion detection and tolerance strategies to reactively and proactively counter dynamic adversary behavior. We leverage game theory to model attackdefense dynamics with the players being the attackersdefenders, the actions being the attackdefense strategies identified, and the payoff for each outcome being related to system survivability. The 3rd and final step is to identify and apply proper solution techniques that can effectively and efficiently analyze attackdefense dynamics as modeled by game theory for guiding the creation of effective defense strategies for assuring high survivability in military MANETs. The end product is a tool that is capable of analyzing a myriad of attacker behaviors and seeing the effectiveness of countering adaptive defense strategies which incorporate attackdefense dynamics.