Name
Abstract | ||
|---|---|---|
CVSS is a specification for measuring the relative severity of software vulnerabilities. The performance values of the CVSS given by CVSS-SIG cannot describe the reasons for the software vulnerabilities. This approach fails to distinguish between software vulnerabilities that have the same score but different levels of severity. In this paper, a software vulnerability rating approach (SVRA) is proposed. The vulnerability database is used by SVRA to analyze the frequencies of CVSS's metrics at different times. Then, the equations for both exploitability and impact subscores are given in terms of these frequencies. SVRA performs a weighted average of these two subscores to create an SVRA score. The score of a vulnerability is dynamically calculated at different times using the vulnerability database. Experiments were performed to validate the efficiency of the SVRA. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1155/2014/932397 | JOURNAL OF APPLIED MATHEMATICS |
Field | DocType | Volume |
Data mining,CVSS,Vulnerability (computing),Software,Database,Mathematics,Vulnerability | Journal | 2014 |
ISSN | Citations | PageRank |
1110-757X | 1 | 0.35 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian Luo | 1 | 5 | 2.83 |
| Guiming Luo | 2 | 69 | 28.79 |
| Haoran Qu | 3 | 1 | 0.35 |