A Wireless Intrusion Detection Method based on Neural Network

Y.-H. Liu, D.-X. Tian, D. Wei (PRC)


Wireless Network, Intrusion Detection, Neural Network


The broadcast nature of wireless networking has introduced many security issues that do not exist in the wired world. The encryption and authentication methods specified in the 802.11 standard are flawed, leading to serious security issues. In this paper an intrusion detection method based on neural network is presented. It is an anomaly detection method and the feature is selected from the packets. In the experiments, we first check the ability of the neural network and then use it to perform detection in a WLAN. The results show that it can detect new intrusion behavior and some improving methods are presented in the conclusions.

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