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
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;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5568309
