A wireless intrusion detection method based on neural network

Authors:
Yan-heng Liu;Da-xin Tian;Da Wei
Affiliations:
College of Computer Science and Technology, Jilin University, Changchun, Jilin, China and Key Laboratory of Symbolic Computation and Knowledge, Engineering of Ministry of Education, Jilin Universi ...;College of Computer Science and Technology, Jilin University, Changchun, Jilin, China and Key Laboratory of Symbolic Computation and Knowledge, Engineering of Ministry of Education, Jilin Universi ...;College of Computer Science and Technology, Jilin University, Changchun, Jilin, China and Key Laboratory of Symbolic Computation and Knowledge, Engineering of Ministry of Education, Jilin Universi ...
Venue:
ACST'06 Proceedings of the 2nd IASTED international conference on Advances in computer science and technology
Year:
2006

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Abstract

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.