• DocumentCode
    265237
  • Title

    A qualitative analysis of an ontology based issue resolution system for cyber attack management

  • Author

    Simmons, Christie B. ; Shiva, Sajjan G. ; Simmons, Lakisha L.

  • Author_Institution
    Sch. of Comput. & Inf., Lipscomb Univ., Nashville, TN, USA
  • fYear
    2014
  • fDate
    4-7 June 2014
  • Firstpage
    323
  • Lastpage
    329
  • Abstract
    Cyber-attacks are increasing at an alarming rate and the attackers have progressively improved in devising attacks towards specific targets. To further develop the area of cyber-attack communication, we propose an ontology based issue resolution system used to identify and defend against cyber-attacks. The issue resolution system (IRS) facilitates attack discovery and suggestive defenses for a small to medium sized organizations. We validate our IRS Ontology using qualitative study of security expert professionals and highlight future work intended to simulate the IRS in a virtual attack test environment.
  • Keywords
    ontologies (artificial intelligence); security of data; IRS ontology; attack discovery; cyber attack management; cyber-attack communication; ontology based issue resolution system; qualitative analysis; Complexity theory; Data mining; Ontologies; Organizations; Security; Software; Taxonomy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2014 IEEE 4th Annual International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-3668-7
  • Type

    conf

  • DOI
    10.1109/CYBER.2014.6917483
  • Filename
    6917483