Title :
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
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;
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
DOI :
10.1109/FCST.2009.22