Intrusion Detection Method Based on Sparse Expression for SVM
Xian Yu, Sheng Yi Wu, Hai Ling Xiong · Applied Mechanics and Materials · 2014
This paper presents an intrusion detection method based on the sparse SVM (support vector machines). This algorithm is to achieve sparse expression for the network data by constructing a sparse base, which could reduce the number of data to be processed, and then use the SVM algorithm to carry out the classification, thus achieving the efficient intrusion detection for the network access behavior.