An Intrusion Detection Method for Ad Hoc Network Based on Class Association Rules Mining

Author

Chuan-xiang Ma ; Ze-ming Fang ; Chen, Fang Rui

Author_Institution

Sch. of Math. & Comput. Sci., Hubei Univ., Wuhan, China

fYear

2009

fDate

17-19 Dec. 2009

Firstpage

666

Lastpage

671

Abstract

Ad Hoc network is a newly developed network without fixed infrastructure and a changing topology. Its vulnerability makes it prone to attacks, which brings greater challenges for intrusion detection for Ad Hoc. Through analyzing the existing intrusion detection techniques as well as the characteristics of Ad Hoc network, this paper has proposed an intrusion detection technique based on class association rules. The result has shown that this method is more accurate and efficient than other methods of its kind, especially for the hidden attack detection.

Keywords

ad hoc networks; data mining; mobile radio; security of data; telecommunication computing; telecommunication security; ad hoc network; class association rules mining; intrusion detection method; Ad hoc networks; Association rules; Computer science; Data mining; Data security; Detection algorithms; Intrusion detection; Mobile ad hoc networks; Monitoring; Network topology; Ad Hoc networks; class association rules; intrusion detection;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3932-4

Electronic_ISBN

978-1-4244-5467-9

Type

conf

DOI

10.1109/FCST.2009.120

Filename

5392844