Computer Science ›› 2011, Vol. 38 ›› Issue (6): 101-105.

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Worm Warning and Optimization of Nonlinear Propagation Model

TONG Xiao-jun,WANG Zhu   

  • Online:2018-11-16 Published:2018-11-16

Abstract: At present there arc some worm intrusion detection systems which detect network worms only by using worm propagation properties and have high false alarm rate. This paper analyzed worm non-linear propagation models, realized the optimization of worm model, and proposed distributed worm propagation model. Then a distributed worm detection technology was designed according to the distributed worm propagation model. The system uses rule-based detection method to monitor network worms, and the console side manages and coordinates detection work of the client sides. The experimental results show that the technology is a good solution to worm warning and worm detection, which can give an alarm with high detection rate and low false alarm rate.

Key words: Worm, Propagation model optimisation of worm, Worm warning, Distributed worm detection

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