Title :
Application of data mining on the design of intrusion detection system
Author :
Zhen-yun, Chang ; Du Yan-fang
Author_Institution :
Tianjin Tianshi Coll., Tianjin, China
Abstract :
In order to decrease the number of misclassification of attacks, the application of data mining technology on the intrusion detection was studied in depth. Firstly, the study background was introduced, and then the basic theory of intrusion detection system was analyzed, and then the basic theory of data mining technology was discussed and the mode of data mining was established, and the algorithm was designed, and finally the simulation analysis was carried out, and the results showed that this method had a good precious.
Keywords :
data mining; security of data; attacks misclassification; data mining; intrusion detection system; Analytical models; Association rules; Clustering algorithms; Databases; Intrusion detection; Joints; data mining; intrusion detection system; simulation;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066693
