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Adaptive Method for Monitoring Network and Early Detection of Internet Worms

  • Chen Bo
  • Bin Xing Fang
  • Xiao Chun Yun
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)

Abstract

After many Internet-scale worm incidents in recent years, it is clear that a simple self-propagation worm can quickly spread across the Internet. And every worm incidents can cause severe damage to our society. So it is necessary to build a system that can detect the presence of worm as quickly as possible. This paper first analyzes the worm’s framework and its propagation model. Then, we describe a new algorithm for detecting worms. Our algorithm first monitors the computers on network and gets the number of abnormal computers. Then based on the monitoring result, we detect an unknown worm by using recursive least squares estimation. The experiments result proves that our approach is effective to detect unknown worm.

Keywords

Intrusion Detection System Exponential Weighted Moving Average Recursive Little Square Simple Network Management Protocol Recursive Little Square Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chen Bo
    • 1
  • Bin Xing Fang
    • 1
  • Xiao Chun Yun
    • 1
  1. 1.The Department of Computer Science and EngineeringHarbin Institute of TechnologyHarbinChina

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