Modeling Interactions between Attackers and Defenders
New software-defined radio and network capabilities allow attacking, greedy, or defending opponents to adapt their protocol operations or behaviors in reponse to detected threats or failures, or even proactively in a sort of moving target defense technique. The value of such adaptation is often clearly understood as long as the opponent is static, as convergence properties can be well-defined in such a case. However, if multiple opponents are simultaneously adapting in response to each other, the system dynamics can not be as easily described. We thus aim to model such multi-player adaptation using a combination of game theory, control theory, empirical data analytics, and stochastic modeling.
