基于TLR异常检测系统的DC算法研究

J4 ›› 2012, Vol. 47 ›› Issue (5): 93-97.

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Research on the DC algorithm for an anomaly detection system based on TLR

GUO Chen¹, LIANG Jia-rong², LUO Chao³, PENG Shuo¹

1. College of Electronic and Information Engineering, Jinggangshan University, Ji’an 343009, Jiangxi, China;
2. College of Computer and Electronic Information, Guangxi University, Nanning 530004, Guangxi, China;
3. Modern Education Technology Center, Jinggangshan University, Ji’an 343009, Jiangxi, China

Received:2012-01-13 Online:2012-05-20 Published:2012-06-01

Abstract

Abstract:

To improve the accuracy of traditional Dendritic Cell Algorithms in data abnormality detection tests, we propose the Dendritic Cell Algorithm used by an anomaly detection system based on Toll-Like receptors in combination with the working mechanism of innate immune Toll-Like receptors in the biological immune system. In this algorithm, mature and immature Dendritic Cells are first obtained by using the Dendritic Cell Algorithm, and then provided to the Toll-Like receptors as inputs, and the TC level is activated to judge whether the algorithm is abnormal.

Key words: Dendritic Cell Algorithm; Toll-Like Receptor; artificial immune; anomaly detection system

GUO Chen1, LIANG Jia-rong2, LUO Chao3, PENG Shuo1. Research on the DC algorithm for an anomaly detection system based on TLR[J].J4, 2012, 47(5): 93-97.