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Received:June 13, 2005Revised:August 17, 2006 |
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Research of internet worm warning system |
Tao ZHOU, Guanzhong DAI, Huimin YE |
(College of Automatic Control, Northwestern Polytechnical University, Xi’an Shaanxi 710072, China) |
Abstract: |
In this paper, by analyzing the worm’s propagation model, we propose a new worm warning system based on the method of system identification, and use recursive least squares algorithm to estimate the worm’s infection rate. The simulation result shows the method we adopted is an efficient way to conduct Internet worm warning. |
Key words: Cyberspace security Internet worm System identification Recursive least squares |