Game Based Resource Allocation Scheme for Dynamic Environments

In this paper, we propose a new strategic security resource allocation scheme based on the Blotto game. In the Blotto game, players are tasked to simultaneously distribute limited resources over several objects. For the efficient security resource allocation, the proposed game model constitutes a class of repeated two-person game while employing the iterative learning approach to approximate an optimal solution. A simulation shows that our proposed scheme can effectively respond the current conditions and obtain better performance than other existing scheme under dynamically changeable environments.