Worm nonlinear model optimization and feature detection technology


Xiaojun Tong,Zhu Wang School of Computer Science and Technology,Harbin Institute of Technology,Weihai 264209,China


The static worm propagation model can not accurately describe the propagation of worm. This paper analyzes worm non-linear propagation models, draws out the worm propagation trend and proposes a new dynamic worm non-linear propagation model. Then the worm feature detection technology is designed based on the worm non-linear propagation models. The system uses rule-based detection method to monitor network worms, and gives alarms to server. Experimental results show that the scheme is a good solution to worm detection in multiple network environments and possess with higher detection rate and lower false alarm rate.


IDS; Worm; Worm model optimization; Feature detection


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