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虚拟机监视器的安全性分析

         

摘要

分析虚拟机监视器的安全性能,结合开源虚拟化软件Xen分析其潜在威胁和漏洞,如超级调用、I/O直接内存传输等.设计并实现一种通过修改Xen VCPU状态信息来破坏虚拟机稳定性的方法,同时给出具体的防范措施,如可以对关键数据结构计算其校验值,及时发现是否被入侵,也可以直接禁止模块的加载,避免一切可能由模块带来的安全性问题.%Aiming at the difference and antinomy of the weighting in the rough set, the relative entropy of two probability distributions is extended to the relative entropy of two one-dimension vectors. The relative entropy is viewed as a distance measurement. The values range of optimal weights are determined by determinations of attribute importance in algebra view and knowledge granularity view respectively, and a single objective optimization model is established on the grounds that attribute values of alternatives are far away from negative ideal values and as close as to ideal values. On the other hand, since the limitation of equivalence relations, dominance relations are introduced to the method of determining the attribute weights. The weights in algebra view and knowledge granularity view are carried on the organic integration by the relative entropy optimization model based on dominance relations, in order to obtain optimal solution of the attributes in Multiple Attribute Decision Making(MADM). The analysis result indicates the validity and efficiency of the model.

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