A Risk Assessment Method based on Software Behavior

G. Chen, Kun Wang, Jian Tan, Xiaoyong Li
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引用次数: 3

Abstract

Traditional risk assessment methods have problems with the subjectivity of assessors and inaccuracy of vulnerability detection, which leads to unreliable and non-quantitative assessment results. To address these problems, this paper proposed a method to assess system risk based on software behavior. The behavior of untrusted software calling is necessarily associated with system risk, specifically, the larger the number and scope of untrusted software called, the higher risk the system faces, and vice versa. In other words, illegal operation of computers is the specific form of system risk and there is a probabilistic correlation between them. Because the number and scope of untrusted software calling can be accurately measured while risk level cannot be observed directly, this paper used a quantitative analysis method (HMM) to assess the system risk level, which ensures objectivity and accuracy of results. Furthermore, this paper analyzed and explained the risk assessment method based on software behavior through experiments.
基于软件行为的风险评估方法
传统的风险评估方法存在评估者主观性和漏洞检测不准确的问题,导致评估结果不可靠、不定量。针对这些问题,本文提出了一种基于软件行为的系统风险评估方法。不可信软件调用的行为必然与系统风险相关,具体来说,被调用的不可信软件的数量和范围越大,系统面临的风险就越高,反之亦然。也就是说,非法操作计算机是系统风险的具体表现形式,两者之间存在着概率相关性。由于可以准确测量不可信软件调用的数量和范围,而不能直接观察到风险级别,因此本文采用定量分析方法(HMM)对系统风险级别进行评估,保证了结果的客观性和准确性。并通过实验对基于软件行为的风险评估方法进行了分析和说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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