International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 183 - Issue 33 |
Published: Oct 2021 |
Authors: Bindu Dodiya, Umesh Kumar Singh, Vivaan Gupta |
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Bindu Dodiya, Umesh Kumar Singh, Vivaan Gupta . Trend Analysis of the CVE Classes Across CVSS Metrics. International Journal of Computer Applications. 183, 33 (Oct 2021), 23-30. DOI=10.5120/ijca2021921718
@article{ 10.5120/ijca2021921718, author = { Bindu Dodiya,Umesh Kumar Singh,Vivaan Gupta }, title = { Trend Analysis of the CVE Classes Across CVSS Metrics }, journal = { International Journal of Computer Applications }, year = { 2021 }, volume = { 183 }, number = { 33 }, pages = { 23-30 }, doi = { 10.5120/ijca2021921718 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2021 %A Bindu Dodiya %A Umesh Kumar Singh %A Vivaan Gupta %T Trend Analysis of the CVE Classes Across CVSS Metrics%T %J International Journal of Computer Applications %V 183 %N 33 %P 23-30 %R 10.5120/ijca2021921718 %I Foundation of Computer Science (FCS), NY, USA
Understanding vulnerability trends is important for risk management process.. Understanding trends helps in early detection of problems and also in planning defense mechanisms. In this paper analysis of the trends of Common Vulnerabilities and Exposures (CVE) from the National Vulnerability Database (NVD) for 2005 to 2020 has presented. 136566 CVEs has been extracted for sixteen years, also their Common Vulnerability Scoring System (CVSS) scores has been collected from the NVD, then analysis of severity, and CVSS base metrics trends ,and trends for classified vulnerability data has been done . Such analysis of vulnerability data according to their type, CIA impact, access vector and access complexity helpful in identifying most critical class of vulnerability relative to system environment and improve risk mitigation process.