云计算系统认知生存模型及量化分析

Cognitive Survival Model and Quantitative Analysis for Cloud Computing Systems

  • 摘要: 从云计算演变而来的云安全已成为网络安全领域新的研究热点,而云安全中的可生存性研究尤为重要。首先分析了云计算系统可生存性的研究现状;然后基于认知计算技术提出云计算系统的认知生存性定义,讨论了云计算系统的认知生存能力;最后使用半马尔科夫性能进程代数(SM-PEPA)对认知生存模型建模,并对其进行了量化评估。仿真试验以认知生存指数作为评估指标,对生存性威胁的构成、抵抗攻击的能力、策略库的知识丰富度以及生存性威胁检测率等参数的取值结合实例模拟对云计算系统认知生存性的影响,通过求解模型的首次通过时间概率密度函数,验证模型对认知生存能力评估的合理性和有效性。

     

    Abstract: The cloud security evolved from cloud computing has become a research hotspot in network security field, and the survivability of cloud security is particularly important. The current research status of survivability is analyzed firstly. Then the definition of cognitive survivability based on cognitive computing is proposed, and the ability of cognitive survivability is discussed. Finally, the cognitive survival model based on semi-Markov performance evaluation process algebra (SM-PEPA) is formalized and the solution of the quantitative assessment is described. The simulation experiment uses the cognitive survival index as evaluation parameters, such as survival threats, the ability to resist attacks and the richness of strategies. The proposed model is validated by solving the first passage time probability density function.

     

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