Abstract
Fast spreading of worms has presented one of the major threats to the internet security and this tendency is increasingly fierce. To overcome the deficient sensitivity to time interval based on Kalman filter worm detection, a new worm early detection method and response mechanism were proposed. This early detection method is based on the epidemic worm propagation model and has multi-deferent intervals based on Kalman filter. Experiment simulation shows that the proposed detection method and response mechanism can effectively slow down the rapid propagation of internet worms in a large scope.
| Original language | English |
|---|---|
| Pages (from-to) | 854-859 |
| Number of pages | 6 |
| Journal | Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) |
| Volume | 37 |
| Issue number | 4 |
| State | Published - Jul 2007 |
| Externally published | Yes |
Keywords
- Computer systems organization
- Early detection
- Kalman filter
- Worm
- Worm propagation model
Fingerprint
Dive into the research topics of 'Internet worm early detection and response mechanism'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver