A Novel Anomaly Detection Method for Worms

Abstract

This paper proposes a novel anomaly detection method of network worms. The algorithm detects unknown worms by multidimensional worm abnormal detection technology, extracts its feature string via analyzing worm data with leap-style and creates new rules to detect the corresponding worm in case that the unknown worm attacks again. The paper has realized the… (More)

Topics

9 Figures and Tables

Cite this paper

@article{Tong2014ANA, title={A Novel Anomaly Detection Method for Worms}, author={Xiaojun Tong and Zhu Wang and Miao Zhang and Yang Liu and Hui Xu}, journal={2014 13th International Symposium on Distributed Computing and Applications to Business, Engineering and Science}, year={2014}, pages={253-257} }