JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2010, Vol. 40 ›› Issue (5): 8-11.

• Articles • Previous Articles     Next Articles

Fast antigen detect method based on detection tree

SUN Qiu-li, HAN Fang-xi, WANG Xiao-lin   

  1. School of Computer Science and Techonology,Shandong University, Jinan 250101, China
  • Received:2010-03-25 Online:2010-10-16 Published:2010-03-25

Abstract:

To overcome the problems of low detection efficiency such as duplicate detection,bit by bit comparison on detecting the antigen’s legitimacy with negative selection algorithm, a legitimacy detection method of antigen based on detection tree was proposed. It constructs a detection tree with detectors using step by step manner. The legitimacy of antigens could be detected by path searching in the detection tree. Experimental results show that the testing method based on detection tree is better than the method by traversing detector collection and bit by bit comparisons, which could meet the requirements of realtime detection. This provides an efficient way for anomaly detection based on artificial immune principle.

Key words: rapid detection strategy, detection tree, negative selection algorithm, artificial immune system

[1] YU Zhen-mei1, YANG Rong-rong2, QI Feng-mei3, ZHANG Hui3, LIU Feng-ming4. A load balance model for Web services based on  immune stability maintenance [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2012, 42(3): 39-44.
[2] YANG Li-cai,YE Yang,NIE Hong-tao,LIU Hui-hui,LIN Jie . Traffic information fusion algorithm of RBF network based on an artificial immune system and fuzzy clustering [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2008, 38(5): 1-5 .
[3] LIN Jie,YANG Li-cai,WU Xiao-qing,YE Yang . Artificial immune optimization method for solving the K shortest paths search in dynamic route guidance system [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2007, 37(2): 103-108 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!