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Mining Association Rules for Intrusion Detection

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4 Author(s)
Hui Wang ; Dept. of Comput. Sci., Telecommun. Command Acad., Wuhan, China ; Guoping Zhang ; Huiguo Chen ; Xueshu Jiang

Intrusion detection system has been a powerful weapon to protect networks from attacks and has gained more and more attention. Data mining has been proven as an important method to detect intrusions. It has been the recent research focus and trend to apply data mining techniques in intrusion detection system for discovering new types of attacks, but it is still in its infancy. This paper reviews the new development of association rules mining technologies for intrusion detection in wired as well as wireless networks. The challenges and advanced developments of technologies to use association rule mining for intrusion detection are discussed.

Published in:

Frontier of Computer Science and Technology, 2009. FCST '09. Fourth International Conference on

Date of Conference:

17-19 Dec. 2009