Cheikh, MohamedHacini, Salima2022-04-142022-04-142022-01-24Cheikh, Mohamed. Hacini, Salima. Multi-agent system for an adaptive intrusion detection. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]https://dspace.univ-eloued.dz/handle/123456789/10821Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of ElouedThe denial-of-service attack is to make a service unusable; this can be done by overloading the network with useless information, generally leveled against application servers or web servers. The intrusion detection systems are powerful tools for the detection of attempted attacks DOS (Denial of Service). However, they suffer from a number of problems such as high rate of false positives and negatives. In this paper, we present a new mechanism for intrusion detection DOS, based on the use of adaptive agents. This self-learning mechanism guaranteed DOS attack detection with minimal false alarms.enNetwork security, Behavioral approach, DOS, Intrusion Detection System, Multi-Agent Systems.Other