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基于可变模糊集理论的系统生存性关键技术研究

Key Technologies of System Survivability Based on Variable Fuzzy Set

【作者】 赵金辉

【导师】 钱旭;

【作者基本信息】 中国矿业大学(北京) , 计算机应用技术, 2011, 博士

【摘要】 论文从可生存性态势感知、自动应急响应、可生存系统中的任务管理及系统可生存性的综合评价四个方面对系统的可生存性进行了深入地研究。首先利用可变模糊集理论的多特征融合技术,从不同层次对系统的可生存性态势进行感知,以提高感知的精确性与客观性。其次,在冲突分析模型下分析了冲突参与者策略选择的过程,建立了针对不同的响应目的自动响应策略选择偏序。随后,在可生存性态势感知的基础上构建了动、静相结合的负载均衡算法,并采用可变模糊集优化决策理论优化可生存环境下的任务调度。最后,采用可变模糊集理论对系统的可生存性进行综合评估,并在评估的过程中引入了变权的思想,提出了基于风险事件和威胁与弱点相互关系的变权计算方法,力求综合评估结果能够科学、客观地反映实际情况。

【Abstract】 This paper studies four aspects of system survivability in depth, which include survival situation awareness, automatic emergency response, task manager and comprehensive evaluation. First, we are aware of the survival situation of system from different levels to improve accuracy and objectivity, by using multi-feature fusion of variable fuzzy set. Second, the partial orders of automatic response strategies selection are established for different purpose of response, by analyzing the process of strategy selection of conflict participants in the model of conflict analysis. Third, based on awareness of survival situation, a load balancing algorithm, combining dynamic and static characteristics, is described, and optimization decision theory of variable fuzzy set is emptied to optimize the task scheduling under survive environment. Finall, in order to scientifically and objectively reflect the real situation, variable fuzzy set is used to comprehensively evaluate the survivability of system, and the thought of variable weight is introducted. The calculation method of variable weight is presented according to the relationship of threat, weakness and risk events.

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