Multiagent Intrusion Detection Based on Neural Network Detectors and Artificial Immune System

Abstract

In this article the artificial immune system and neural network techniques for intrusion detection have been addressed. The AIS allows detecting unknown samples of computer attacks. The integration of AIS and neural networks as detectors permits to increase performance of the system security. The detector structure is based on the integration of the different neural networks namely RNN and MLP. The KDD-99 dataset was used for experiments performing. The experimental results show that such intrusion detection system has possibilities for detection and recognition computer attacks.