Intrusion Detection Using Evolutionary Neural Networks
Emmanuel S. Michailidis, Sokratis K. Katsikas, Efstratios F. Georgopoulos · 2008
In this paper a network intrusion detection system using evolutionary neural networks (ENN's) is proposed. The analysis engine of the IDS is modeled by the ENN and its ability to predict attacks in a network environment is evaluated. The ENN is trained by a particle swarm optimization (PSO) algorithm using labeled data from the KDD cup '99 competition.The results from the experiments are compared to the results bythe same competition and give positive results in the recognitionof DoS and probe attacks.