Title :
The Research of Intrusion Detection Model Based on Clustering Analysis
Author :
Bo, Li ; Dong-dong, Jiang
Author_Institution :
Network Center, Chongqing Univ. of Technol., Chongqing, China
Abstract :
Through the research and analysis of the intrusion detection techniques and data mining, this paper presents a intrusion detection model which is based on cluster analysis K-means algorithm.
Keywords :
data mining; security of data; cluster analysis K-means algorithm; data mining; intrusion detection model; Algorithm design and analysis; Clustering algorithms; Computer networks; Computer security; Data mining; Data security; Expert systems; Information analysis; Intrusion detection; Pattern analysis; Clustering Analysis; abnormal detection; data mining; intrusion detecti;
Conference_Titel :
Computer and Communications Security, 2009. ICCCS '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3906-5
Electronic_ISBN :
978-1-4244-5408-2
DOI :
10.1109/ICCCS.2009.40
