Genetic algorithm combined with support vector machine for building an intrusion detection system

Sriparna Saha; Ashok Singh Sairam; Amulya Yadav; Asif Ekbal

doi:10.1145/2345396.2345489

Genetic algorithm combined with support vector machine for building an intrusion detection system

Sriparna Saha
, Ashok Singh Sairam
, Amulya Yadav
, Asif Ekbal

College of Information Sciences and Technology

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

9 Scopus citations

Abstract

In this paper, we develop an intrusion detection system (IDS) based on machine learning. We employ genetic algorithm (GA) along with Support Vector Machine (SVM) for automatically determining the appropriate set of features. The idea is then developed into a fully functional IDS. Experiments of testing the IDS on the benchmark KDD CUP 99 datasets are presented. Results show encouraging performance that opens a avenue for further research.

Original language	English (US)
Title of host publication	Proceedings of the 2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI'12
Pages	566-572
Number of pages	7
DOIs	https://doi.org/10.1145/2345396.2345489
State	Published - 2012
Event	2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2012 - Chennai, India Duration: Aug 3 2012 → Aug 5 2012

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2012
Country/Territory	India
City	Chennai
Period	8/3/12 → 8/5/12

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/2345396.2345489

Cite this

Saha, S., Sairam, A. S., Yadav, A., & Ekbal, A. (2012). Genetic algorithm combined with support vector machine for building an intrusion detection system. In Proceedings of the 2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI'12 (pp. 566-572). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2345396.2345489

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title = "Genetic algorithm combined with support vector machine for building an intrusion detection system",

abstract = "In this paper, we develop an intrusion detection system (IDS) based on machine learning. We employ genetic algorithm (GA) along with Support Vector Machine (SVM) for automatically determining the appropriate set of features. The idea is then developed into a fully functional IDS. Experiments of testing the IDS on the benchmark KDD CUP 99 datasets are presented. Results show encouraging performance that opens a avenue for further research.",

author = "Sriparna Saha and Sairam, \{Ashok Singh\} and Amulya Yadav and Asif Ekbal",

year = "2012",

doi = "10.1145/2345396.2345489",

language = "English (US)",

isbn = "9781450311960",

series = "ACM International Conference Proceeding Series",

pages = "566--572",

booktitle = "Proceedings of the 2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI'12",

note = "2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2012 ; Conference date: 03-08-2012 Through 05-08-2012",

}

Saha, S, Sairam, AS, Yadav, A & Ekbal, A 2012, Genetic algorithm combined with support vector machine for building an intrusion detection system. in Proceedings of the 2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI'12. ACM International Conference Proceeding Series, pp. 566-572, 2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2012, Chennai, India, 8/3/12. https://doi.org/10.1145/2345396.2345489

Genetic algorithm combined with support vector machine for building an intrusion detection system. / Saha, Sriparna; Sairam, Ashok Singh; Yadav, Amulya et al.
Proceedings of the 2012 International Conference on Advances in Computing, Communications and Informatics, ICACCI'12. 2012. p. 566-572 (ACM International Conference Proceeding Series).

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

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ER -

Genetic algorithm combined with support vector machine for building an intrusion detection system

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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