A self-organized multiagent system for intrusion detection

Abstract:

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. © 2009 Springer Berlin Heidelberg.

Año de publicación:

2009

Keywords:

• Network security
• Data Mining
• multiagent system
• Growing self-organization

Fuente:

scopus