• DocumentCode
    2006896
  • Title

    Methodology and ontology of expert system for information security audit

  • Author

    Atymtayeva, L.B. ; Bortsova, G.K. ; Inoue, Akira ; Kozhakhmet, K.T.

  • Author_Institution
    Dept. of Comput. Eng., Kazakh-British Tech. Univ., Almaty, Kazakhstan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    Information security auditing plays key role in providing any organization´s good security level. By reason of high expenses of the audit process implementation, the automation of it through the development of the software may lead to a creation of a good alternative that will reduce costs, speed up the process of audit and improve its quality by the bringing it to compliance with international standards in information security. We suggest that fuzzy expert systems techniques can offer significant benefits when applied to this area. This paper presents some issues of the development of methodology and ontology for expert systems application concerning Information Security Audit (Expert System in Information Security Audit - ESISA).
  • Keywords
    expert systems; fuzzy set theory; ontologies (artificial intelligence); security of data; ESISA; audit process; expert system in information security audit; fuzzy expert systems techniques; ontology; security level; fuzzy expert systems; information security audit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505287
  • Filename
    6505287