基于随机博弈的网络可生存性策略选择模型

Strategy selection model for network survivability based on stochastic game

为了提高网络的可生存能力,提出了基于随机博弈的网络可生存性策略选择模型。该模型针对攻击和破坏行为对网络造成的影响,将攻防双方的博弈过程分为抵抗、识别和恢复三个阶段。从细节上描述系统状态转移与策略选择之间的关系,提出了基于上述模型的策略选择分析方法。最后以网络实例表明了该模型在预测攻击行为并选取最优可生存性策略方面的可行性和有效性。

To improve the survivability of networks, a strategy selection model based on stochastic game was proposed. According to the damage impact on system made by the attacker behavior, the game process was divided into the resistance phase, the recognition phase, and the recovery phase. The relationship between the transition of system state and strategy selection was depicted from a specific view, based on it, a strategy selection analytical method was presented. A representative network example was provided to verify the feasibility and validity of the proposed method in the prediction of attacker behavior and decision of optimal strategy.