Network Intrusion Detection with Workflow Feature Definition Using BP Neural Network
ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks
Exploring discrepancies in findings obtained with the KDD Cup '99 data set
Intelligent Data Analysis
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In this paper a network Intrusion Detection SystemUsing Evolutionary Neural Networks (ENN's) is proposed. Theanalysis engine of the IDS is modeled by the ENN and its abilityto predict attacks in a network environment is evaluated. TheENN 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