Title :
Research on Clustering Technique in Network Intrusion Detection
Author_Institution :
Inf. Eng. Dept., Zibo Vocational Inst., Zibo, China
Abstract :
This paper mainly introduces the intrusion detection system based on data mining algorithms. The intrusion detection system is divided into three parts: first we need to preformat the original data on the local machine or on the Internet, then using data mining algorithms for outlier detection, in the end the results of preformatted data are displayed visually.
Keywords :
Internet; data mining; pattern clustering; security of data; Internet; clustering technique research; data mining algorithms; intrusion detection system; network intrusion detection; Classification algorithms; Clustering algorithms; Data mining; Databases; Intrusion detection; Standards; clustering technique; network intrusion detection; outlier detection;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.319
