Improved Support Vector Machine Wireless Network Security Detection Algorithm Model
Xiujian Lv, Zhicheng Sun, Jing Wang · 2012
This paper proposed a support vector machine SVM algorithm for WLAN intrusion detection, first calculates the information gain of network intrusion data, and selects the characteristics of properties having a greater impact on the classification from the raw data to optimize the parameters of SVM, Finally, an optimized SVM algorithm is used to detect the wireless network data to obtain the behavior of network detection.Simulation results show that model of SVM-based WLAN intrusion detection has a high correct detecting rate, a low negative rate and wrong alarm rate.