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A Study on the Classification of Common Vulnerabilities and Exposures using Naïve Bayes

  • Sarang NaEmail author
  • Taeeun Kim
  • Hwankuk Kim
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 2)

Abstract

National Vulnerability Database (NVD) provides publicly known security vulnerabilities called Common Vulnerabilities and Exposures (CVE). There are a number of CVE entries, although, some of them cannot provide sufficient information, such as vulnerability type. In this paper, we propose a classification method of categorizing CVE entries into vulnerability type using naïve Bayes classifier. The classification ability of the method is evaluated by a set of testing data. We can analyze CVE entries that are not yet classified as well as uncategorized vulnerability documents.

Keywords

Vulnerability analysis Common Vulnerabilities and Exposures (CVE) Common Weakness Enumeration (CWE) naïve Bayes classifier document classification 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Security R&D Team 2Korea Internet & Security AgencySeoulRepublic of Korea

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