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Hybrid feature selection technique for intrusion detection system
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Kamarudin, Muhammad Hilmi, Maple, Carsten and Watson, Tim (2019) Hybrid feature selection technique for intrusion detection system. International Journal of High Performance Computing and Networking (IJHPCN), 13 (2). pp. 232-240. doi:10.1504/IJHPCN.2019.097503
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WRAP-hybrid-feature-selection-technique-intrusion-detection-system-VoR-Maple-2019.pdf - Published Version - Requires a PDF viewer. Download (293Kb) | Preview |
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WRAP-hybrid-feature-selection-technique-intrusion-detection-system-Maple-2019.pdf - Accepted Version - Requires a PDF viewer. Download (2954Kb) | Preview |
Official URL: https://doi.org/10.1504/IJHPCN.2019.097503
Abstract
High dimensionality’s problems have make feature selection as one of the most important criteria in determining the efficiency of intrusion detection systems. In this study we have selected a hybrid feature selection model that potentially combines the strengths of both the filter and the wrapper selection procedure. The potential hybrid solution is expected to effectively select the optimal set of features in detecting intrusion. The proposed hybrid model was carried out using correlation feature selection (CFS) together with three different search techniques known as best-first, greedy stepwise and genetic algorithm. The wrapper-based subset evaluation uses a random forest (RF) classifier to evaluate each of the features that were first selected by the filter method. The reduced feature selection on both KDD99 and DARPA 1999 dataset was tested using RF algorithm with ten-fold cross-validation in a supervised environment. The experimental result shows that the hybrid feature selections had produced satisfactory outcome.
| Item Type: | Journal Article | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||
| Divisions: | Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
| Library of Congress Subject Headings (LCSH): | Intrusion detection systems (Computer security) | ||||||||
| Journal or Publication Title: | International Journal of High Performance Computing and Networking (IJHPCN) | ||||||||
| Publisher: | Inderscience | ||||||||
| ISSN: | 1740-0562 | ||||||||
| Official Date: | 1 February 2019 | ||||||||
| Dates: |
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| Date of first compliant deposit: | 2 September 2016 | ||||||||
| Volume: | 13 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | pp. 232-240 | ||||||||
| DOI: | 10.1504/IJHPCN.2019.097503 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| RIOXX Funder/Project Grant: |
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| Type of Event: | Conference | ||||||||
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