An Artificial Immune System Based on Intelligent Agents

The use of immune systems in intrusion detection has been a hot spot of research for the past decade. Immune systems have many features that are desirable for the imperfect, uncontrolled, and open environments in which most computers currently exist. It is hoped that biologically inspired approaches in this area, including the use of intelligent agents will be able to meet this challenge. In this paper, we extract some useful mechanisms from natural biological systems together with the use of intelligent agents, in order to develop cost effective computational solutions to complex problems in artificial immune systems. Analysis and evaluation of the system shows that it is robust, fault-tolerant and has low error rate and high detection rate as well.