Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (s1): 77-82.doi: 10.13190/j.jbupt.2014.s1.015

• Papers • Previous Articles     Next Articles

Dynamic Intrusion Detections with Vaccination

ZHANG Ling1,2, BAI Zhong-ying1, XIE Kang3   

  1. 1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Zhengzhou University of Light Industry, Zhengzhou 450000, China;
    3. Shandong University, Jinan 250100, China
  • Received:2013-10-26 Online:2014-06-28 Published:2014-06-28
  • Supported by:
     

Abstract:

A method of dynamic intrusion detection using vaccination (DIDV) is designed. With rough set (RS), a scheme is given to generate antibodies, and a strategy based on the significance of the attributes is proposed to get vaccinations. The RS is used to promise excellent antibodies and to increase the detection rate. Vaccination strategy is applied to gain more compatible vaccinations and to get higher convergence rate. Experiments show that the proposed method is of feasibility and effectiveness.

Key words: intrusion detection, rough set, artificial immune, vaccination

CLC Number: