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Dynamic Awareness of Network Security Situation Based on Stochastic Game Theory

机译:基于随机博弈论的网络安全局势的动态意识

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Stochastic game theory is proposed to apply in the research on network security situational awareness (NSSA), which is a research focus in network security field at present. A novel dynamic awareness method of network security situation (NSS) based on analyses of network service states is proposed in this paper. Realizing situation awareness is a dynamic process, and the diverse states of network services are just direct mirrors of the whole network security situation. Network security situation reflects what is happening in the network, including both the offense and defense behaviors in it. Stochastic game model of network security system is constructed in this paper, and network security situation is quantified by the game mathematical formulation, costs or rewards of attackers and defenders are established, and finally non-linear programming is used to compute the Nash equilibrium points, at which point both of the two sides get a balance between their benefits. Network security situation can then be dynamically achieved by visualizing the diverse metrics information of network services at Nash equilibrium during the operating of network system.
机译:随机博弈论旨在申请网络安全情境意识(NSSA)的研究,目前是网络安全领域的研究重点。本文提出了一种基于网络服务状态分析的网络安全情况(NSS)的新型动态意识方法。实现情况意识是一种动态过程,而且网络服务的不同状态只是整个网络安全情况的直接镜子。网络安全局势反映了网络中发生的事情,包括其中的违法行为和防御行为。网络安全系统的随机游戏模型是在本文中构建的,并且网络安全情况由游戏量化数学制定,建立了攻击者和防守者的成本或奖励,最后使用非线性编程来计算纳什均衡点,此时两侧的两侧都会在他们的利益之间获得平衡。然后,通过在网络系统的操作期间可视化NASH均衡的网络服务的不同度量信息,可以动态地实现网络安全情况。

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