基于半马尔可夫的入侵容忍状态转移系统研究

Research of the Intrusion Tolerance State Transition System Based on Semi-Markov

  • 摘要: 针对网络入侵发生后,系统的容忍能力难以提高等问题,提出了一个基于半马尔可夫的入侵容忍模型.通过对入侵容忍模型安全属性的量化分析,进一步优化了SMP模型,并通过SMP模型参数求解算法,得出系统各状态平均故障时间(ATOSF)轨迹.通过分析ATOSF轨迹发现容忍系统中的关键点.维护这些关键点,增强了系统的可用性和可靠性.经验证,将半马尔可夫应用到入侵容忍系统中是可行、有效的,且具有简单、易行等特点.

     

    Abstract: In order to solve the problems of the ability to tolerate of the system improving difficultly when network intrusion occurred, this paper puts forward an intrusion tolerance model based on semi-Markov. The SMP model was further optimized through analyzing the intrusion tolerance model security attributes quantitative. By using solving algorithm of SMP model parameters, the mean time was given to failure tracks of each system's state (ATOSF). Finally, the key points were found in the tolerance system by analyzing ATOSF tracks. After maintaining these key points, the network administrators enhance the availability and reliability of the system. Experiments show that the semi-Markov applied to intrusion tolerant system is feasible and effective, which has the advantage of simple.

     

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