DocumentCode
2424625
Title
The Research of Bayesian Classifier Algorithms in Intrusion Detection System
Author
Luo, Yang-Xia
Author_Institution
Dept. Inf., Univ. of Finance & Econ., Xi´´an, China
fYear
2010
fDate
7-9 May 2010
Firstpage
2174
Lastpage
2178
Abstract
Aim at the low accuracy of intrusion detection system, to analysis the Bayesian classification algorithm and give some improvements, with the experimental data of kddcup99, in order to find a reasonable data pre-processing methods and more effective classification algorithm to improve the accuracy of intrusion detection system.
Keywords
Bayes methods; pattern classification; security of data; Bayesian classification algorithm; data pre-processing methods; intrusion detection system; Accuracy; Bayesian methods; Biological system modeling; Classification algorithms; Data models; Intrusion detection; Training; Bayesian Algorithm; Data Mining; Intrusion Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3997-3
Type
conf
DOI
10.1109/ICEE.2010.550
Filename
5592085
Link To Document