OVM: an ontology for vulnerability management

  • Authors:
  • Ju An Wang;Minzhe Guo

  • Affiliations:
  • Southern Polytechnic State University, Marietta, GA;Southern Polytechnic State University, Marietta, GA

  • Venue:
  • Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
  • Year:
  • 2009

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Abstract

In order to reach the goals of the Information Security Automation Program (ISAP) [1], we propose an ontological approach to capturing and utilizing the fundamental concepts in information security and their relationship, retrieving vulnerability data and reasoning about the cause and impact of vulnerabilities. Our ontology for vulnerability management (OVM) has been populated with all vulnerabilities in NVD [2] with additional inference rules, knowledge representation, and data-mining mechanisms. With the seamless integration of common vulnerabilities and their related concepts such as attacks and countermeasures, OVM provides a promising pathway to making ISAP successful.