A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features
Joint Authors
Karthik, S.
Amudha, P.
Sivakumari, S.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-22
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Intrusion detection has become a main part of network security due to the huge number of attacks which affects the computers.
This is due to the extensive growth of internet connectivity and accessibility to information systems worldwide.
To deal with this problem, in this paper a hybrid algorithm is proposed to integrate Modified Artificial Bee Colony (MABC) with Enhanced Particle Swarm Optimization (EPSO) to predict the intrusion detection problem.
The algorithms are combined together to find out better optimization results and the classification accuracies are obtained by 10-fold cross-validation method.
The purpose of this paper is to select the most relevant features that can represent the pattern of the network traffic and test its effect on the success of the proposed hybrid classification algorithm.
To investigate the performance of the proposed method, intrusion detection KDDCup’99 benchmark dataset from the UCI Machine Learning repository is used.
The performance of the proposed method is compared with the other machine learning algorithms and found to be significantly different.
American Psychological Association (APA)
Amudha, P.& Karthik, S.& Sivakumari, S.. 2015. A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1078898
Modern Language Association (MLA)
Amudha, P.…[et al.]. A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features. The Scientific World Journal No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1078898
American Medical Association (AMA)
Amudha, P.& Karthik, S.& Sivakumari, S.. A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1078898
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078898