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An Ontology of Information Security

Author

Listed:
  • Almut Herzog

    (Linkopings Universitet, Sweden)

  • Nahid Shahmehri

    (Linkopings Universitet, Sweden)

  • Claudiu Duma

    (Linkopings Universitet, Sweden)

Abstract

We present a publicly available, OWL-based ontology of information security which models assets, threats, vulnerabilities, countermeasures and their relations. The ontology can be used as a general vocabulary, roadmap, and extensible dictionary of the domain of information security. With its help, users can agree on a common language and definition of terms and relationships. In addition to browsing for information, the ontology is also useful for reasoning about relationships between its entities, for example, threats and countermeasures. The ontology helps answer questions like: Which countermeasures detect or prevent the violation of integrity of data? Which assets are protected by SSH? Which countermeasures thwart buffer overflow attacks? At the moment, the ontology comprises 88 threat classes, 79 asset classes, 133 countermeasure classes and 34 relations between those classes. We provide the means for extending the ontology, and provide examples of the extendibility with the countermeasure classes ‘memory protection’ and ‘source code analysis’. This article describes the content of the ontology as well as its usages, potential for extension, technical implementation and tools for working with it.

Suggested Citation

  • Almut Herzog & Nahid Shahmehri & Claudiu Duma, 2007. "An Ontology of Information Security," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 1(4), pages 1-23, October.
    • Handle: RePEc:igg:jisp00:v:1:y:2007:i:4:p:1-23
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jisp.2007100101
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    Cited by:

    1. Alanen, Jarmo & Linnosmaa, Joonas & Malm, Timo & Papakonstantinou, Nikolaos & Ahonen, Toni & Heikkilä, Eetu & Tiusanen, Risto, 2022. "Hybrid ontology for safety, security, and dependability risk assessments and Security Threat Analysis (STA) method for industrial control systems," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    2. Igor Kotenko & Olga Polubelova & Andrey Chechulin & Igor Saenko, 2013. "Design and Implementation of a Hybrid Ontological-Relational Data Repository for SIEM Systems," Future Internet, MDPI, vol. 5(3), pages 1-21, July.

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