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Optimal network defense strategy selection based on Bayesian game

机译:基于贝叶斯游戏的最优网络防御策略选择

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Existing passive defence methods cannot effectively guarantee network security; to solve this problem, a novel method is proposed that selects the optimal defence strategy. The network attack-defence process is modelled based on the Bayesian game. The payoff is quantified from the impact value of the attack-defence actions. The optimal defence strategy is selected that takes defence effectiveness as the criterion. The rationality and feasibility of the method are verified through a representative example, and the general rules of network defence are summarised. Compared to the classic strategy selection methods based on game theory, the proposed method can select the optimal strategy in the form of pure strategy by quantifying defence effectiveness, which was proven to perform better.
机译:现有的被动防御方法无法有效保证网络安全; 为了解决这个问题,提出了一种选择最佳防御策略的新方法。 网络攻击防御过程是基于贝叶斯游戏的建模。 从攻击防御行动的影响值中量化了回报。 选择最佳防御策略,以防御有效性作为标准。 通过代表性示例验证了该方法的合理性和可行性,总结了网络防御的一般规则。 与基于博弈论的经典战略选择方法相比,所提出的方法可以通过量化防御效果来选择纯策略形式的最佳策略,这被证明是更好的表现。

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