Noria Benyettou, Abdelkader Benyettou and Vincent Rodin.
An immune agents system for network intrusions detection.
SAI-2014, Third International Conference on Soft Computing,
Artificial Intelligence and Applications, Dubai, (UAE), 7-8 November 2014.
Publish in Computer Science & Information Technology (CS&IT) series,
AIRCC Publishing, volume 4, number 11, pages 1-11, November 2014.
Abstract:
With the development growing of network technology, the computer networks
became increasingly wide and opened.
This evolution gave birth to new technics allowing the accessibility of the
networks and information systems with an aim of facilitating the transactions.
Consequently, these techniques gave also birth to new forms of threats.
In this article, we present the utility to used a system of intrusion detection
through a presentation of these characteristics, followed by a brief history of
the existing models.
Using as inspiration the immune biological system, we propose a model of
artificial immune system which is integrated in the behavior of distributed
agents on the network in order to ensure a good detection of intrusions.
We also present the internal structure of the immune agents and their capacity
to distinguish between self and not self. The agents are able to achieve
simultaneous treatments, are able to auto-adaptable to the evolution of
environment and have also the property of distributed coordination.
In this architecture, the immune agent of model is installed in each host of
the network and subnetwork, for an extensive monitoring and a simultaneous
analysis of the frames.
Keywords:
Intrusion Detection System, Artificial Immune System, Multi-Agents System.
[doi:10.5121/csit.2014.41101]
[Benyettou14a.pdf]