posted on 2013-01-01, 00:00authored byB Tian, K Merrick, Shui Yu, J Hu
A hierarchical intrusion detection model is proposed to detect both anomaly and misuse attacks. In order to further speed up the training and testing, PCA-based feature extraction algorithm is used to reduce the dimensionality of the data. A PCA-based algorithm is used to filter normal data out in the upper level. The experiment results show that PCA can reduce noise in the original data set and the PCA-based algorithm can reach the desirable performance.
History
Event
Computing, Networking and Communications. Conference (2013 : San Diego, California)