A review of classification approaches using support vector machine in intrusion detection

Noreen Kausar; Brahim Belhaouari Samir; Azween Abdullah; Iftikhar Ahmad; Mohammad Hussain

doi:10.1007/978-3-642-25462-8_3

A review of classification approaches using support vector machine in intrusion detection

Noreen Kausar^*, Brahim Belhaouari Samir, Azween Abdullah, Iftikhar Ahmad, Mohammad Hussain

^*Corresponding author for this work

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

22 Citations (Scopus)

Abstract

Presently, Network security is the most concerned subject matter because with the rapid use of internet technology and further dependence on network for keeping our data secure, it's becoming impossible to protect from vulnerable attacks. Intrusion detection systems (IDS) are the key solution for detecting these attacks so that the network remains reliable. There are different classification approaches used to implement IDS in order to increase their efficiency in terms of detection rate. Support vector machine (SVM) is used for classification in IDS due to its good generalization ability and non linear classification using different kernel functions and performs well as compared to other classifiers. Different Kernels of SVM are used for different problems to enhance performance rate. In this paper, we provide a review of the SVM and its kernel approaches in IDS for future research and implementation towards the development of optimal approach in intrusion detection system with maximum detection rate and minimized false alarms.

Original language	English
Title of host publication	Informatics Engineering and Information Science - International Conference, ICIEIS 2011, Proceedings
Pages	24-34
Number of pages	11
Edition	PART 3
DOIs	https://doi.org/10.1007/978-3-642-25462-8_3
Publication status	Published - 2011
Externally published	Yes
Event	International Conference on Informatics Engineering and Information Science, ICIEIS 2011 - Kuala Lumpur, Malaysia Duration: 14 Nov 2011 → 16 Nov 2011

Publication series

Name	Communications in Computer and Information Science
Number	PART 3
Volume	253 CCIS
ISSN (Print)	1865-0929

Conference

Conference	International Conference on Informatics Engineering and Information Science, ICIEIS 2011
Country/Territory	Malaysia
City	Kuala Lumpur
Period	14/11/11 → 16/11/11

Keywords

Defense Advanced Research Projects Agency (DARPA)
Intrusion Detection System (IDS)
Kernel
Knowledge Discovery and Data Mining (KDD)
RBF
SVM

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10.1007/978-3-642-25462-8_3

Cite this

Kausar, N., Belhaouari Samir, B., Abdullah, A., Ahmad, I., & Hussain, M. (2011). A review of classification approaches using support vector machine in intrusion detection. In Informatics Engineering and Information Science - International Conference, ICIEIS 2011, Proceedings (PART 3 ed., pp. 24-34). (Communications in Computer and Information Science; Vol. 253 CCIS, No. PART 3). https://doi.org/10.1007/978-3-642-25462-8_3

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keywords = "Defense Advanced Research Projects Agency (DARPA), Intrusion Detection System (IDS), Kernel, Knowledge Discovery and Data Mining (KDD), RBF, SVM",

author = "Noreen Kausar and {Belhaouari Samir}, Brahim and Azween Abdullah and Iftikhar Ahmad and Mohammad Hussain",

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Kausar, N, Belhaouari Samir, B, Abdullah, A, Ahmad, I & Hussain, M 2011, A review of classification approaches using support vector machine in intrusion detection. in Informatics Engineering and Information Science - International Conference, ICIEIS 2011, Proceedings. PART 3 edn, Communications in Computer and Information Science, no. PART 3, vol. 253 CCIS, pp. 24-34, International Conference on Informatics Engineering and Information Science, ICIEIS 2011, Kuala Lumpur, Malaysia, 14/11/11. https://doi.org/10.1007/978-3-642-25462-8_3

A review of classification approaches using support vector machine in intrusion detection. / Kausar, Noreen; Belhaouari Samir, Brahim; Abdullah, Azween et al.
Informatics Engineering and Information Science - International Conference, ICIEIS 2011, Proceedings. PART 3. ed. 2011. p. 24-34 (Communications in Computer and Information Science; Vol. 253 CCIS, No. PART 3).

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

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Kausar N, Belhaouari Samir B, Abdullah A, Ahmad I, Hussain M. A review of classification approaches using support vector machine in intrusion detection. In Informatics Engineering and Information Science - International Conference, ICIEIS 2011, Proceedings. PART 3 ed. 2011. p. 24-34. (Communications in Computer and Information Science; PART 3). doi: 10.1007/978-3-642-25462-8_3

A review of classification approaches using support vector machine in intrusion detection

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Keywords

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