Multi-agent system for an adaptive intrusion detection

Abstract

The 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.