DEFENDER-ATTACKER GAME MODELS FOR OPTIMAL RESOURCE ALLOCATIONTHE HUMAN LIBRARY: FROM CONCEPTUALIZATION TO IMPLEMENTATION

Abstract

Today, resource allocation in defender-attacker game models is getting more attention from the research community. For the defensive side players, allocating resources effectively and appropriately is essential to maintain the winning position against the attacking side. It can be possible by making the best response to the attack, i.e., by defining the most effective defensive strategy. This present work develops one defender - multiple attackers game model to determine the defensive strategy based on the Nash equilibrium and Stackelberg leadership equilibrium solutions of one defender two attackers game model. Both game models are designed and studied in two scenarios: simultaneous and sequential modes. The budget constraints are analyzed for both modes, and the simulation results of the mathematical models are also presented. The optimal resource allocation defensive algorithm is developed considering a network value of customers and players’ budget constraints. Its main objective function is defined as the maximization of a novel normperformance metric. This algorithm is evaluated within the proposed game models.