A rough-fuzzy hybrid algorithm for computer intrusion detection
Joint Authors
Chimphlee, witcha
Abd Allah, Abd Hanan
Sap, Muhammad Nur
Chimphlee, siriporn
Srinoy, surat
Source
The International Arab Journal of Information Technology
Issue
Vol. 4, Issue 3 (31 Jul. 2007), pp.247-254, 8 p.
Publisher
Publication Date
2007-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper, we propose an intrusion detection method that combines rough sets theory and fuzzy c-means for anomaly detection.
The first step consists of attribute selection which is based on rough set theory for each of the 5 classes of intrusions in the Defense Advanced Research Projects Agency (DARPA) data is identified.
The next phase is clustering by using fuzzy c-means; we are using rough sets for cleaning and to filtering out redundant, spurious information.
Fuzzy c-means allow objects to belong to several clusters simultaneously, with different degrees of membership.
Our method is an accurate model for handling complex attack patterns in large networks.
We used data set from 1999 Knowledge Discovery and Data mining (KDD) intrusion detection contest.
The main goal of this paper is to apply this method to increase the efficiency of a given intrusion detection model and to be able to reduce the data set by looking for overlapping categories and also to filter in the desired ones.
American Psychological Association (APA)
Chimphlee, witcha& Abd Allah, Abd Hanan& Sap, Muhammad Nur& Chimphlee, siriporn& Srinoy, surat. 2007. A rough-fuzzy hybrid algorithm for computer intrusion detection. The International Arab Journal of Information Technology،Vol. 4, no. 3, pp.247-254.
https://search.emarefa.net/detail/BIM-11691
Modern Language Association (MLA)
Chimphlee, witcha…[et al.]. A rough-fuzzy hybrid algorithm for computer intrusion detection. The International Arab Journal of Information Technology Vol. 4, no. 3 (Jul. 2007), pp.247-254.
https://search.emarefa.net/detail/BIM-11691
American Medical Association (AMA)
Chimphlee, witcha& Abd Allah, Abd Hanan& Sap, Muhammad Nur& Chimphlee, siriporn& Srinoy, surat. A rough-fuzzy hybrid algorithm for computer intrusion detection. The International Arab Journal of Information Technology. 2007. Vol. 4, no. 3, pp.247-254.
https://search.emarefa.net/detail/BIM-11691
Data Type
Journal Articles
Language
English
Notes
includes bibliographical references : p. 252-253
Record ID
BIM-11691