The intrusion detection framework based on data fusion technology

被引：0

作者：

Teng, SH ^{[1
]}

Zhang, W ^{[1
]}

Wu, NQ ^{[1
]}

Zhao, YM ^{[1
]}

机构：

[1] Guangdong Univ Technol, Guangzhou 510090, Peoples R China

来源：

ICCC2004: Proceedings of the 16th International Conference on Computer Communication Vol 1and 2 | 2004年

关键词：

data fusion; intrusion detection; meta-data; Bayes network; Agent;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents the three-layer intrusion detection framework. The filtering and preprocessing process of data is performed at layer 1; The detection based on features and rules is carried out at layer 2; And at layer 3, the fusing process of data which results from the layer 1 and the layer2 is implemented. This model is designed by distribution technique. The system is composed of many intrusion detection agents, which complete the detection task together. The model is self-adaptable, that is, it can improve itself to get better effect of detection during using it.

引用

页码：1587 / 1592

页数：6