Wireless Communications and Applications. First International Conference, ICWCA 2011, Sanya, China, August 1-3, 2011, Revised Selected Papers

Research Article

Worm Nonlinear Model Optimization and Feature Detection Technology

Download
579 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
Xiaojun Tong1,*, Zhu Wang1
  • 1: Harbin Institute of Technology
*Contact email: tong_xiaojun@163.com

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.