Detection and identification of neptune attacks and flash crowds

  • Authors:
  • The Quyen Le;Marat Zhanikeev;Yoshiaki Tanaka

  • Affiliations:
  • Global Information and Telecommunication Institute, Waseda University, Tokyo, Japan;School of International Liberal Studies, Waseda University, Tokyo, Japan;Global Information and Telecommunication Institute, Waseda University, Tokyo, Japan and Research Institute for Science and Engineering, Waseda University, Tokyo, Japan

  • Venue:
  • APNOMS'07 Proceedings of the 10th Asia-Pacific conference on Network Operations and Management Symposium: managing next generation networks and services
  • Year:
  • 2007

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Abstract

Neptune attack and Flash Crowd are two typical threats to web servers. These two anomalies have many identical features that make them difficult to distinguish. In this paper, we propose a statistical packet-based method to detect Neptune attacks and Flash Crowds and more importantly, by performing separate analysis by source address aggregation, we also propose additional efficient means to differentiate these two similar anomalies.