Application of self-organization map neural network in intrusion detection
Wan Ming-cheng · Computer Engineering and Applications Journal · 2009
An intrusion detection method based on SOM is proposed.At training phase of the intrusion detection,SOM neural net- work is trained with labeled dataset and then label neurons with‘normal’or‘attack’according to the training result.During the procedure of detection,unknown data is determined whether it is normal or not according its’BMU’s label.For validate the performance of this method,result of detection using SVM is compared to method proposed in this paper with KDD cup99 dataset, and the experiment shows that SOM based intrusion detection method has a better detection rate while consuming limit time.