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Received:July 28, 2004Revised:March 22, 2006 |
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based on system identification |
Zhanshan WANG Huaguang ZHANG |
(School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004, China; Department of Information Engineering, Shenyang Ligong University, Shenyang Liaoning 110168, 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: Singular bilinear system (SBS) Bilinear observer State estimation Domain of attraction |