Research Article
Worm Nonlinear Model Optimization and Feature Detection Technology
620 downloads
@INPROCEEDINGS{10.1007/978-3-642-29157-9_15, author={Xiaojun Tong and Zhu Wang}, title={Worm Nonlinear Model Optimization and Feature Detection Technology}, proceedings={Wireless Communications and Applications. First International Conference, ICWCA 2011, Sanya, China, August 1-3, 2011, Revised Selected Papers}, proceedings_a={ICWCA}, year={2012}, month={5}, keywords={IDS Worm Worm model optimization Feature detection}, doi={10.1007/978-3-642-29157-9_15} }- Xiaojun Tong
Zhu Wang
Year: 2012
Worm Nonlinear Model Optimization and Feature Detection Technology
ICWCA
Springer
DOI: 10.1007/978-3-642-29157-9_15
Abstract
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.
Copyright © 2011–2024 ICST
