Mining Association Rules for Intrusion Detection

Author

Wang, Hui ; Zhang, Guoping ; Chen, Huiguo ; Jiang, Xueshu

Author_Institution

Dept. of Comput. Sci., Telecommun. Command Acad., Wuhan, China

fYear

2009

fDate

17-19 Dec. 2009

Firstpage

644

Lastpage

648

Abstract

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.

Keywords

data mining; reviews; security of data; data mining; intrusion detection; mining association rules; reviews; wired networks; wireless networks; Association rules; Communication system security; Computer science; Data mining; Information security; Intrusion detection; Power system protection; Weapons; Wireless LAN; Wireless networks; association rule; data mining; intrusion detection; wired network; wireless network;

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.2009.22

Filename

5392848