Analyzing Trends in Vulnerability Classes across CVSS Metrics

نویسندگان

  • Anshu Tripathi
  • Umesh Kumar Singh
  • Zhongqiang Chen
  • Yuan Zhang
  • Zhongrong Chen
  • Chris Johnson
چکیده

Rising vulnerability statistics demands multidimensional trend analysis for efficient threat mitigation. Understanding trends aids in early detection of problems and also in planning defense mechanisms. In this regard, this paper presents finegrained trend analysis on classified vulnerability data provided by NVD, across six CVSS base metrics. 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.

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تاریخ انتشار 2011