Distributed intrusion detection with intelligent network interfaces for future networks

  • Authors:
  • Yan Luo;Ke Xiang;Jie Fan;Chunhui Zhang

  • Affiliations:
  • Department of Electrical and Computer Engineering, University of Massachusetts Lowell;Department of Electrical and Computer Engineering, University of Massachusetts Lowell;University of Massachusetts Lowell;University of Massachusetts Lowell

  • Venue:
  • ICC'09 Proceedings of the 2009 IEEE international conference on Communications
  • Year:
  • 2009

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Abstract

Intrusion detection remains an important and challenging task in current and next generation networks (NGN). Emerging technologies such as multi-core processors and virtualization have changed the architecture of the building elements of NGN significantly, thus call for rethinking of how network processing is done. In this paper, we propose distributed intrusion detection using intelligent network interfaces where additional processing capabilities are available. We design and implement a prototype to perform pattern matching using network processors since pattern matching is one of the important workloads in intrusion detection. Through the experimental results, we show the feasibility and performance of distributed intrusion detection in next generation networks.