A feature selection model based on genetic algorithm for intrusion detection
Other Title(s)
نموذج اختيار الميزات بالاعتماد على الخوارزمية الجينية لكشف التطفل
Joint Authors
Mahmud, Duha Imad
Hamid, Sarab Majid
Source
Issue
Vol. 57, Issue (sA) (31 Dec. 2016), pp.168-175, 8 p.
Publisher
University of Baghdad College of Science
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Now days, it is very important to provide a high level of security for huge amount of information transferred in the network to protect them from threats.
Due to that, an intrusion detection system (IDS) becomes a required component in terms of computer and network security.
One of the biggest challenges for IDS is the high dimensionality of the feature space and how to select the relevant features to distinguish the normal network packet from attack network packet.
In this paper, an optimization model based on genetic algorithm (GA) to select the distinguished features for intrusion detection is proposed.
Moreover, the Naïve Bayes (NB) classifier is applied to judge the ability of the proposed model to classify normal and attack network packets.
The performance of the proposed model is evaluated against information gain algorithm (IG).
The experiments on NSL-KDD benchmark dataset reveal the effectiveness of the proposed model to detect attack and normal network packets.-
American Psychological Association (APA)
Mahmud, Duha Imad& Hamid, Sarab Majid. 2016. A feature selection model based on genetic algorithm for intrusion detection. Iraqi Journal of Science،Vol. 57, no. (sA), pp.168-175.
https://search.emarefa.net/detail/BIM-759763
Modern Language Association (MLA)
Mahmud, Duha Imad& Hamid, Sarab Majid. A feature selection model based on genetic algorithm for intrusion detection. Iraqi Journal of Science Vol. 57, no. (sA) (2016), pp.168-175.
https://search.emarefa.net/detail/BIM-759763
American Medical Association (AMA)
Mahmud, Duha Imad& Hamid, Sarab Majid. A feature selection model based on genetic algorithm for intrusion detection. Iraqi Journal of Science. 2016. Vol. 57, no. (sA), pp.168-175.
https://search.emarefa.net/detail/BIM-759763
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 175
Record ID
BIM-759763