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
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;
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
DOI :
10.1109/ISME.2010.47
