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
Link To Document :
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