Improvement of Association Rules Mining Algorithm in Wireless Network Intrusion Detection

Authors:
Ye Changguo;Zhang Qin;Zhou Jingwei;Wei Nianzhong;Zhu Xiaorong;Wang Tailei
Affiliations:
-;-;-;-;-;-
Venue:
CINC '09 Proceedings of the 2009 International Conference on Computational Intelligence and Natural Computing - Volume 02
Year:
2009

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Fuzzy data mining: a literature survey and classification framework

International Journal of Networking and Virtual Organisations

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Abstract

This paper, first analyzes the method of wireless network intrusion detection, presents a wireless network intrusion detection algorithm based on association rule mining. The application of fuzzy association rules in the wireless network intrusion detection is mainly discussed, and the steps to implement the algorithm are expressed. A comparative analysis with the classical algorithm Apriori is made by experiment. The results show that wireless network intrusion detecting using fuzzy association rules mining algorithm is a feasible method.