Description: In order to optimize test efficiency of Intrusion Detection System(IDS) based on Support Vector Machine(SVM), a new intrusion
detection method based on Graphics Processing Unit(GPU) and feature selection is proposed. During the process of intrusion detection, GPU-based
parallel computing model is adopted and features of samples are reasonable selected. Experimental results demonstrate that the proposed method can
reduce time consumption in the training procedure of IDS and the performance for intrusion detection is kept as usual.
To Search:
File list (Check if you may need any files):
libsvm.doc
Download