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首页> 外文会议>World Multiconference on Systemics, Cybernetics and Informatics(SCI 2002) v.6: Industrial Systems and Engineering I; 20020714-20020718; Orlando,FL; US >Markov-Based Control For Information and Computer Security
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Markov-Based Control For Information and Computer Security

机译：基于马尔可夫的信息和计算机安全控制

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摘要

To respond to the threat against cyber-security, the ability to orchestrate a coordinated response between monitoring programs and response routines is required. In this paper, we develop and demonstrate the capability of a feedback-control based approach to this problem that allows for autonomic response. This cyber-defense decision system autonomously reacts to system attacks by combining a Markov Decision Process (MDP), a simple game, and a weighted random culling from select actuators. The Markov model of the system allows for a knowledge engineering based approach consisting of knowing the approximate false alarm rate of each of the sensors, the probability of failure for each of the actuators, and an estimate of cost associated with each actuator. A system of sensors and actuators can thus be built a priori and then deployed at the host or network level. The use of game theory and the weighted culling allows for dynamic responses against attacks that reduce repetition in the responses.
机译：为了应对针对网络安全的威胁，需要能够在监视程序和响应例程之间协调协调响应的能力。在本文中，我们开发并演示了基于反馈控制的方法来解决该问题的能力，该方法可以实现自主响应。该网络防御决策系统通过结合马尔可夫决策过程（MDP），一个简单的游戏以及从选定执行器中进行的加权随机剔除来自主地对系统攻击做出反应。系统的马尔可夫模型允​​许基于知识工程的方法，包括了解每个传感器的近似错误警报率，每个执行器的故障概率以及与每个执行器相关的成本估算。因此，可以先验地构建传感器和致动器系统，然后在主机或网络级别部署。博弈论和加权剔除的使用允许针对攻击的动态响应，从而减少响应中的重复。

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