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An Improved Bat Algorithm Driven by Support Vector Machines for Intrusion Detection

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International Joint Conference (CISIS 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 369))

Abstract

Today, the never-ending stream of security threats requires new security solutions capable to deal with large data volumes and high speed network connections in real-time. Intrusion Detection Systems are an omnipresent component of most security systems and may offer a viable answer. In this paper we propose a network anomaly IDS which merges the Support Vector Machines classifier with an improved version of the Bat Algorithm (BA). We use the Binary version of the Swarm Intelligence algorithm to construct a wrapper feature selection method and the standard version to elect the input parameters for SVM. Tests with the NSL-KDD dataset empirically prove our proposed model outperforms simple SVM or similar approaches based on PSO and BA, in terms of attack detection rate and false alarm rate generated after fewer number of iterations.

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Acknowledgments

The work has been funded by the Sectoral Operational Programme Human Resources Development 2007-2013 of the Ministry of European Funds through the Financial Agreement POSDRU/159/1.5/S/132395.

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Authors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Romania, Bucharest, Europe

    Adriana-Cristina Enache & Valentin Sgârciu

Authors
  1. Adriana-Cristina Enache
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  2. Valentin Sgârciu
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Corresponding author

Correspondence to Adriana-Cristina Enache .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, Escuela Politécnica Superior, University of Burgos, Burgos, Spain

    Álvaro Herrero

  2. Department of Civil Engineering, Escuela Politécnica Superior, University of Burgos, Burgos, Spain

    Bruno Baruque

  3. Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  4. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  5. Plaza de la Merced S/N, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Enache, AC., Sgârciu, V. (2015). An Improved Bat Algorithm Driven by Support Vector Machines for Intrusion Detection. In: Herrero, Á., Baruque, B., Sedano, J., Quintián, H., Corchado, E. (eds) International Joint Conference. CISIS 2015. Advances in Intelligent Systems and Computing, vol 369. Springer, Cham. https://doi.org/10.1007/978-3-319-19713-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-19713-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19712-8

  • Online ISBN: 978-3-319-19713-5

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