DocumentCode
3094313
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
fYear
2009
fDate
5-6 Dec. 2009
Firstpage
24
Lastpage
27
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICCCS.2009.40
Filename
5380373
Link To Document