Improvement of Association Rules Mining Algorithm in Wireless Network Intrusion Detection

Author

Changguo, Ye ; Qin, Zhang ; Jingwei, Zhou ; Nianzhong, Wei ; Xiaorong, Zhu ; Tailei, Wang

Author_Institution

Coll. of Inf. Sci. & Technol., Taishan Coll., Taian, China

Volume

2

fYear

2009

fDate

6-7 June 2009

Firstpage

413

Lastpage

416

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.

Keywords

data mining; radio networks; security of data; telecommunication security; fuzzy association rules mining algorithm; wireless network intrusion detection; Association rules; Data mining; Data security; Databases; Educational institutions; Information science; Intrusion detection; Itemsets; Paper technology; Wireless networks; Intrusion Detection; algorithm; association rule; fuzzy; wireless network;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3645-3

Type

conf

DOI

10.1109/CINC.2009.19

Filename

5230945