DocumentCode
2116002
Title
A Study on Intrusion Detection Based on Data Mining
Author
Naiping, Song ; Genyuan, Zhou
Author_Institution
Sch. of Comput. Eng., Jiangsu Teachers Univ. of Technol., Changzhou, China
Volume
1
fYear
2010
fDate
7-8 Aug. 2010
Firstpage
135
Lastpage
138
Abstract
This paper, in view of the problems in traditional intrusion detection systems, proposes data mining techniques be applied to intrusion detection system. The commonly used data mining algorithms are discussed; then a data mining-based intrusion detection system model is constructed, the architecture and main functions of which are described as well.
Keywords
computer network security; data mining; data mining technique; intrusion detection system; Algorithm design and analysis; Association rules; Classification algorithms; Computers; Data models; Intrusion detection; data mining; intrusion detection; model;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location
Xi´an
Print_ISBN
978-1-4244-7669-5
Electronic_ISBN
978-1-4244-7670-1
Type
conf
DOI
10.1109/ISME.2010.47
Filename
5573765
Link To Document