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Analyse Honey Pot Traffics to Detect DoS Attacks Using Support Vector Machine

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  • C. Naveena
  • R. Sasikala

Abstract

Honeypots are physical or virtual machines successfully used as intrusion detection tools to detect worm-infected hosts. Denial of service (DoS) attack consumes the resources of a remote client or network itself, there by denying or degrading the service to the legitimate users. In this paper, we present a system that helps in the detection DoS attacks using the data mining framework. We have used support vector machine classifier to identify the honey pot traffic into normal and DoS attack.

Suggested Citation

  • C. Naveena & R. Sasikala, 2017. "Analyse Honey Pot Traffics to Detect DoS Attacks Using Support Vector Machine," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 326-329, December.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1725133
    Note: Article URL: https://ijsrcseit.com/CSEIT1725133
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