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A Novel Fuzzy Min-Max Neural Network and Genetic Algorithm-Based Intrusion Detection System

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Proceedings of the Second International Conference on Computer and Communication Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 380))

Abstract

Today in the era of ICT, security of data and services on the WWW has become the most important issue for web service providers. Loopholes in the security systems of WWW may break the integrity, reliability, and availability of data and services. Today, intrusion detection systems based on data mining is the best security framework for the Internet. In this paper a novel intrusion detection system is proposed which is based on the fuzzy min-max neural network and the genetic algorithm. The proposed model is trained using fuzzy min-max neural network and the learning system is optimized by application of genetic algorithm. The developed system is tested on the KDD Cup dataset. The parameters classification accuracy and classification error were used as a final performance evaluator of the learning process. The experimental results show that the proposed model gives superior performance over other existing frameworks.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, 835215, Ranchi, India

    Chandrashekhar Azad & Vijay Kumar Jha

Authors
  1. Chandrashekhar Azad
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  2. Vijay Kumar Jha
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Corresponding author

Correspondence to Chandrashekhar Azad .

Editor information

Editors and Affiliations

  1. Dept. of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, India

    K. Srujan Raju

  3. Computer Science & Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  4. Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Azad, C., Jha, V.K. (2016). A Novel Fuzzy Min-Max Neural Network and Genetic Algorithm-Based Intrusion Detection System. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 380. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2523-2_41

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  • DOI: https://doi.org/10.1007/978-81-322-2523-2_41

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2522-5

  • Online ISBN: 978-81-322-2523-2

  • eBook Packages: EngineeringEngineering (R0)

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