Research of Intrusion Detection Based on Principal Components Analysis

The effective way of improving the efficiency of intrusion detection is to reduce the heavy data process workload. In this paper, the dimensionality reduction use of technology in the classic dimensionality reduction algorithm principal component to analysis large-scale data source for reduced-made features of the original data be retained and improved the efficiency of intrusion detection. And use BP neural network training the data after dimensionality reduction, will be effective in normal and abnormal data distinction, and achieved good results.