![](/images/graphics-bg.png)
The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review
Joint Authors
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-12
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Information Technology and Computer Science
Abstract EN
In supervised learning-based classification, ensembles have been successfully employed to different application domains.
In the literature, many researchers have proposed different ensembles by considering different combination methods, training datasets, base classifiers, and many other factors.
Artificial-intelligence-(AI-) based techniques play prominent role in development of ensemble for intrusion detection (ID) and have many benefits over other techniques.
However, there is no comprehensive review of ensembles in general and AI-based ensembles for ID to examine and understand their current research status to solve the ID problem.
Here, an updated review of ensembles and their taxonomies has been presented in general.
The paper also presents the updated review of various AI-based ensembles for ID (in particular) during last decade.
The related studies of AI-based ensembles are compared by set of evaluation metrics driven from (1) architecture & approach followed; (2) different methods utilized in different phases of ensemble learning; (3) other measures used to evaluate classification performance of the ensembles.
The paper also provides the future directions of the research in this area.
The paper will help the better understanding of different directions in which research of ensembles has been done in general and specifically: field of intrusion detection systems (IDSs).
American Psychological Association (APA)
Kumar, Gulshan& Kumar, Krishan. 2012. The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-503187
Modern Language Association (MLA)
Kumar, Gulshan& Kumar, Krishan. The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-503187
American Medical Association (AMA)
Kumar, Gulshan& Kumar, Krishan. The Use of Artificial-Intelligence-Based Ensembles for Intrusion Detection : A Review. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-503187
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-503187