基于TLR异常检测系统的DC算法研究

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

基于TLR异常检测系统的DC算法研究

郭晨¹,梁家荣²,罗超³,彭硕¹

1. 井冈山大学电子与信息工程学院, 江西吉安 343009;
2. 广西大学计算机与电子信息学院, 广西南宁 530004;
3. 井冈山大学现代教育技术中心, 江西吉安 343009

收稿日期:2012-01-13 出版日期:2012-05-20 发布日期:2012-06-01
作者简介:郭晨(1979- ),男,讲师,硕士,主要从事人工免疫、进化算法、数据挖掘方面的研究. Email:bearr@21cn.com
基金资助:
国家自然科学基金资助项目(61064002);江西省教育厅青年基金项目(GJJ11029)

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

摘要/Abstract

摘要：

在数据异常检测实验中,针对传统DC(Dendritic Cell)算法的检测不够精确的问题,结合生物免疫体系中天然免疫的TLR(TollLike Receptor)的工作机制,提出一种基于TLR异常检测系统的DC算法。该算法首先利用DC算法得到成熟与半成熟的DC,再将这两类DC作为输入提供给TLR进行处理,最后通过对激活TC的刺激水平来判断是否异常。

关键词: DC算法; TLR;人工免疫;异常检测系统

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

郭晨1,梁家荣2,罗超3,彭硕1. 基于TLR异常检测系统的DC算法研究[J]. J4, 2012, 47(5): 93-97.

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.

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