An approach towards intrusion detection using PCA feature subsets and SVM

Noreen Kausar; Brahim Belhaouari Samir; Suziah Bt Sulaiman; Iftikhar Ahmad; Muhammad Hussain

doi:10.1109/ICCISci.2012.6297095

An approach towards intrusion detection using PCA feature subsets and SVM

Noreen Kausar^*, Brahim Belhaouari Samir, Suziah Bt Sulaiman, Iftikhar Ahmad, Muhammad Hussain

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Citations (Scopus)

Abstract

Presently many intrusion detection approaches are available but have drawbacks like training overhead as well as their performance factor. Increased detection rate with less false alarms can enhanced the efficiency of an intrusion detection system. One of the main limitations is the processing of raw features for classification which increases the architecture complexity and decreases the accuracy of detecting intrusions. Because of the limitations in earlier approaches, this PCA based subsets has been proposed. An SVM based IDS mechanism with Principal Component Analysis (PCA) feature subsets has been presented. Support Vector Machines (SVM) used as classifier to test and train the subsets of extracted features with Radial Basis Function (RBF) kernel.

Original language	English
Title of host publication	2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
Pages	569-574
Number of pages	6
DOIs	https://doi.org/10.1109/ICCISci.2012.6297095
Publication status	Published - 2012
Externally published	Yes
Event	2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Kuala Lumpur, Malaysia Duration: 12 Jun 2012 → 14 Jun 2012

Publication series

Name	2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
Volume	2

Conference

Conference	2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012
Country/Territory	Malaysia
City	Kuala Lumpur
Period	12/06/12 → 14/06/12

Keywords

Intrusion Detection System (IDS)
Knowledge Discovery and Data Mining (KDD)
Principal Component Analysis (PCA)
Radial Basis Function (RBF)
Support Vector Machine (SVM)

Access to Document

10.1109/ICCISci.2012.6297095

Cite this

Kausar, N., Belhaouari Samir, B., Sulaiman, S. B., Ahmad, I., & Hussain, M. (2012). An approach towards intrusion detection using PCA feature subsets and SVM. In 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings (pp. 569-574). Article 6297095 (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings; Vol. 2). https://doi.org/10.1109/ICCISci.2012.6297095

Kausar, Noreen ; Belhaouari Samir, Brahim ; Sulaiman, Suziah Bt et al. / An approach towards intrusion detection using PCA feature subsets and SVM. 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. 2012. pp. 569-574 (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings).

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title = "An approach towards intrusion detection using PCA feature subsets and SVM",

abstract = "Presently many intrusion detection approaches are available but have drawbacks like training overhead as well as their performance factor. Increased detection rate with less false alarms can enhanced the efficiency of an intrusion detection system. One of the main limitations is the processing of raw features for classification which increases the architecture complexity and decreases the accuracy of detecting intrusions. Because of the limitations in earlier approaches, this PCA based subsets has been proposed. An SVM based IDS mechanism with Principal Component Analysis (PCA) feature subsets has been presented. Support Vector Machines (SVM) used as classifier to test and train the subsets of extracted features with Radial Basis Function (RBF) kernel.",

keywords = "Intrusion Detection System (IDS), Knowledge Discovery and Data Mining (KDD), Principal Component Analysis (PCA), Radial Basis Function (RBF), Support Vector Machine (SVM)",

author = "Noreen Kausar and \{Belhaouari Samir\}, Brahim and Sulaiman, \{Suziah Bt\} and Iftikhar Ahmad and Muhammad Hussain",

year = "2012",

doi = "10.1109/ICCISci.2012.6297095",

language = "English",

isbn = "9781467319386",

series = "2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings",

pages = "569--574",

booktitle = "2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings",

note = "2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference date: 12-06-2012 Through 14-06-2012",

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Kausar, N, Belhaouari Samir, B, Sulaiman, SB, Ahmad, I & Hussain, M 2012, An approach towards intrusion detection using PCA feature subsets and SVM. in 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings., 6297095, 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings, vol. 2, pp. 569-574, 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012, Kuala Lumpur, Malaysia, 12/06/12. https://doi.org/10.1109/ICCISci.2012.6297095

An approach towards intrusion detection using PCA feature subsets and SVM. / Kausar, Noreen; Belhaouari Samir, Brahim; Sulaiman, Suziah Bt et al.
2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. 2012. p. 569-574 6297095 (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Belhaouari Samir, Brahim

AU - Sulaiman, Suziah Bt

AU - Ahmad, Iftikhar

AU - Hussain, Muhammad

PY - 2012

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AB - Presently many intrusion detection approaches are available but have drawbacks like training overhead as well as their performance factor. Increased detection rate with less false alarms can enhanced the efficiency of an intrusion detection system. One of the main limitations is the processing of raw features for classification which increases the architecture complexity and decreases the accuracy of detecting intrusions. Because of the limitations in earlier approaches, this PCA based subsets has been proposed. An SVM based IDS mechanism with Principal Component Analysis (PCA) feature subsets has been presented. Support Vector Machines (SVM) used as classifier to test and train the subsets of extracted features with Radial Basis Function (RBF) kernel.

KW - Intrusion Detection System (IDS)

KW - Knowledge Discovery and Data Mining (KDD)

KW - Principal Component Analysis (PCA)

KW - Radial Basis Function (RBF)

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BT - 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings

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Y2 - 12 June 2012 through 14 June 2012

ER -

Kausar N, Belhaouari Samir B, Sulaiman SB, Ahmad I, Hussain M. An approach towards intrusion detection using PCA feature subsets and SVM. In 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. 2012. p. 569-574. 6297095. (2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings). doi: 10.1109/ICCISci.2012.6297095

An approach towards intrusion detection using PCA feature subsets and SVM

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Keywords

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