A Software Assessment Method Based on Relevance Vulnerability

Autor: Xingchen Cao, Sheng Jiang, Feng Fang, Xudong Miao, Binbin Qu, Yongchun Wang
Rok vydání: 2015
Předmět:
Zdroj: CIS
DOI: 10.1109/cis.2015.108
Popis: 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.
Databáze: OpenAIRE