Acta Metallurgica Sinica(English letters) ›› 2007, Vol. 14 ›› Issue (3): 79-84.doi: 1005-8885 (2007) 03-0079-06

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Internet worm early detection and response mechanism

WANG Jian; LIU Yan-heng; TIAN Da-xin; WEI Da   

  1. College of Computer Science and Technology, Jilin University,
    Changchun 130012, China
  • Received:2006-10-25 Revised:1900-01-01 Online:2007-09-30

Abstract:

In recent years, fast spreading worm has become one of the major threats to the security of the Internet and has an increasingly fierce tendency. In view of the insufficiency that based on Kalman filter worm detection algorithm is sensitive to interval, this article presents a new data collection plan and an improved worm early detection method which has some deferent intervals according to the epidemic worm propagation model, then proposes a worm response mechanism for slowing the wide and fast worm propagation effectively. Simulation results show that our methods are able to detect worms accurately and early.

Key words:

worm; early detection; Kalman filter; worm propagation model

CLC Number: