A Self-Organized Multiagent System for Intrusion Detection

被引:0
|
作者
Palomo, Esteban J. [1 ]
Dominguez, Enrique [1 ]
Luque, Rafael M. [1 ]
Munoz, Jose [1 ]
机构
[1] Univ Malaga, Dept Comp Sci, ETSI Informat, E-29071 Malaga, Spain
来源
AGENTS AND DATA MINING INTERACTION | 2009年 / 5680卷
关键词
Multiagent system; data mining; growing self-organization; network security; ANOMALY DETECTION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a multiagent system with capabilities to analyze and discover knowledge gathered from distributed agents. These enhanced capabilities are obtained through a dynamic self-organizing map and a multiagent communication system. The central administrator agent dynamically obtains information about the attacks or intrusions from the distributed agents and maintains a knowledge pool using a proposed growing self-organizing map. The approach integrates traditional mathematical and data mining techniques with a multiagent system. The proposed system is used to build an intrusion detection system (IDS) as a network security application. Finally, experimental results are presented to confirm the good performance of the proposed system.
引用
收藏
页码:84 / 94
页数:11
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