NDLI: Survey: Using Genetic Algorithm Approach in Intrusion Detection Systems Techniques

Content Provider	IEEE Xplore Digital Library
Author	Owais, S. Snasel, V. Kromer, P. Abraham, A. Abraham, A.
Copyright Year	2008
Description	Author affiliation: AL-Balqa' Appl. Univ., Ajloun (Owais, S.)
Abstract	The wide spread use of computer networks in today's society, especially the sudden surge in importance of the World Wide Web, has made computer network security an international priority. Since it is not technically feasible to build a system with no vulnerabilities, intrusion detection (ID) has become an important area for researches. An intrusion that deviates only slightly from a pattern derived from the audit data may not be detected or a small change in normal behavior may cause a wrong data. Intrusion detection systems (IDS) offer techniques for modeling and recognizing normal and abusive system behavior. GAs can be successfully used to tune the membership functions used by the IDS. In this paper a survey were performed approaches based on IDS, and on implementing of GAs (GAs) on IDS.
Starting Page	300
Ending Page	307
File Size	761950
Page Count	8
File Format	PDF
ISBN	9780769531847
DOI	10.1109/CISIM.2008.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-26
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Data security Computerized monitoring Intrusion detection Information security Computer networks Internet Application software Computer security Genetic algorithms
Content Type	Text
Resource Type	Article

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