• DocumentCode
    3331133
  • Title

    Breaking Down Stereotypes: A Call for an Ontological Model

  • Author

    Rosco, Russell D. ; Rogers, Marcus K. ; Liles, Samuel

  • Author_Institution
    Purdue Univ., West Lafayette, IN
  • fYear
    2007
  • fDate
    Jan. 2007
  • Abstract
    An ontological model, such as the one proposed in this paper, can provide the basis for many activities. The first important activity is the ability to gather and categorize statistics which provide the empirical basis to discuss deviant computer usage, thus helping to dispel stereotypes. The information gathered via the proposed ontological model could be used to (1) validate or create categories in taxonomies, (2) educate potential victims about their risk factors, (3) help corporations determine security priorities, (4) reduce the potential suspect pool in a crime investigation, (5) provide data for policy makers, (6) create computer crime profiles, and multiple other uses
  • Keywords
    computer crime; ontologies (artificial intelligence); breaking down stereotype; crime investigation; ontological model; Computer crime; Computer hacking; Computer security; Data security; Government; Information security; Ontologies; Programming profession; Statistics; Taxonomy; Computer; Deviant; Hacker; Ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on
  • Conference_Location
    Waikoloa, HI
  • ISSN
    1530-1605
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2007.109
  • Filename
    4076931