A Software Assessment Method Based on Relevance Vulnerability-现代数据工程与实时计算实验室
现代数据工程与实时计算实验室

A Software Assessment Method Based on Relevance Vulnerability


作者

Xudong Miao, Yongchun Wang, Xingchen Cao, Binbin Qu, Sheng Jiang, Feng Fang

期刊

期刊名称:IEEE
出版日期:2015
所在页数:424-427

摘要

At present, most of the software security assessment system can only evaluate the potential impact of a single vulnerability on the system which ignore the impact of the multiple vulnerabilities. Therefore, we introduce the concept of relevance vulnerability pattern and design a relevance vulnerability pattern library taking consider of the potential impact caused by multiple vulnerabilities. After that, a software assessment method is given based on relevance vulnerability. Experimental results show that the evaluation results are comprehensive and objective.

关键词

software security assessment; quantitative assessment

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