网络态势感知量化的随机博弈论方法

Huiqiang Wang, Ying Liang, Xiaowu Liu
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引用次数: 9

摘要

将随机博弈论应用于网络态势感知研究,提出了一种基于网络服务状态分析的网络态势感知量化方法。本文构建了包括攻击方和防御方在内的网络攻防博弈模型;实现了网络态势的博弈数学建模;根据具体应用对博弈双方的收益进行量化,通过分析网络服务状态得出博弈情况。最后通过仿真实验验证了纳什均衡的存在性,此时双方的收益达到平衡,反映了当前稳定的网络安全状态,最终实现了NSA的量化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic Game Theoretic Method of Quantification for Network Situational Awareness
Stochastic game theory is proposed to apply to the research on network situational awareness (NSA),and then a novel quantification method of NSA based on analysis of network service states is proposed. In this paper, network offense-defense game model including both the attacker and the defender in it is constructed; and game mathematical modeling of network situation is realized; the payoff of the both sides in the game is quantified according to the specific application, and the game situations is obtained by analyzing network service state. Finally, simulation experiments are done to validate the Nash equilibrium's existing, at which point both of the sides get a balance between their payoffs and by which the current stable network security state is reflected, finally the quantification of NSA is achieved.
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