Noria Benyettou, Abedlkader Benyettou, Vincent Rodin and Souad Yahia
Berrouiguet.
The Multi-Agents Immune System for Network Intrusions Detection (MAISID).
Oriental Journal of Computer Science and Technology,
Oriental Scientific Publishing, 6(4):383-390, December 2013.
Abstract:
Network intrusion detection Systems are designed to protect computer
networks by observing frames and notifying the operators when a possible
attack happened.
But with the development of network and the information exchange, networks
became increasingly vulnerable faced at the new forms of threats.
It is necessary to improve the performance of an intrusion detection system.
Inspired by immune biological system behavior and the performances of the
multi-agent systems, we present in this article a new model (MAISID) of
multi-agent system immune for intrusion detection. MAISID is a system that
performs frames analyses by a group of immune agents’ collaboration.
These agents are distributed on the network to achieve simultaneous treatments,
and are auto-adaptable to the evolution of the environment and have also the
property of communication and coordination in order to ensure a good detection
of intrusions in a distributed network. In this approach, the MAISID model is
installed in each host of the network and sub-network for an extensive
monitoring and a simultaneous analysis of the frames.
Keywords:
Intrusion Detection System, Artificial Immune System, Multi-Agents System,
Network Security.
[url]
[pdf]
[Benyettou13a.pdf]