DocumentCode
2007620
Title
Research on the intrusion detection technology with hybrid model
Author
Zhang, Qingqing ; Yang, Hongbian ; Li, Kai ; Zhang, Qian
Author_Institution
Dept. of Inf. Technol., Hebei Inst. of Commun., Shijiazhuang, China
Volume
2
fYear
2010
fDate
17-18 July 2010
Firstpage
646
Lastpage
649
Abstract
Intrusion Detection is an indispensable component of Network Security. Because exists the problems of the high false positives rate and low detection efficiency in the current intrusion detection system, in this paper, we propose a hybrid intrusion detection model and improve intrusion detection system analyzer, applying the Data fusion and data mining techniques to intrusion detection systems. We have researched this model further more and analyzed its architecture in detail.
Keywords
computer network security; data mining; sensor fusion; data fusion; data mining techniques; hybrid intrusion detection model; intrusion detection system analyzer; intrusion detection system technology; network security; Analytical models; Classification algorithms; Data mining; Data models; Intrusion detection; Sensors; Network security; data fusion; data mining; intrusion detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7387-8
Type
conf
DOI
10.1109/ESIAT.2010.5568309
Filename
5568309
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