Visible to the public Biblio

Filters: Author is Luo, P.  [Clear All Filters]
Geng, J., Ye, D., Luo, P..  2015.  Forecasting severity of software vulnerability using grey model GM(1,1). 2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). :344–348.

Vulnerabilities usually represents the risk level of software, and it is of high value to forecast vulnerabilities so as to evaluate the security level of software. Current researches mainly focus on predicting the number of vulnerabilities or the occurrence time of vulnerabilities, however, to our best knowledge, there are no other researches focusing on the prediction of vulnerabilities' severity, which we think is an important aspect reflecting vulnerabilities and software security. To compensate for this deficiency, we borrows the grey model GM(1,1) from grey system theory to forecast the severity of vulnerabilities. The experiment is carried on the real data collected from CVE and proves the feasibility of our predicting method.