• DocumentCode
    2130386
  • Title

    An Ontology for Malware Analysis

  • Author

    Mundie, David A. ; Mcintire, David M.

  • Author_Institution
    Software Eng. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2013
  • fDate
    2-6 Sept. 2013
  • Firstpage
    556
  • Lastpage
    558
  • Abstract
    Malware analysis is an information security field that needs a more scientific basis for communicating requirements, hiring, training, and retaining staff, building training curricula, and sharing information among analysis teams. Our group is building an OWL-based malware analysis ontology to provide that more scientific approach. We have built a malware analysis dictionary and taxonomy, and are currently combining those with a competency model with the goal of creating an ontology-based competency framework. This paper describes the state of the work and the methodology used.
  • Keywords
    invasive software; knowledge representation languages; ontologies (artificial intelligence); OWL-based malware analysis ontology; communicating requirements; information security field; information sharing; malware analysis dictionary; malware analysis taxonomy; ontology-based competency framework; training curricula building; Buildings; Dictionaries; Malware; OWL; Ontologies; Training; Vocabulary; malware analysis; malware dictionary; malware ontology; ontology-based competency model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Availability, Reliability and Security (ARES), 2013 Eighth International Conference on
  • Conference_Location
    Regensburg
  • Type

    conf

  • DOI
    10.1109/ARES.2013.73
  • Filename
    6657289