Title :
The Research of Bayesian Classifier Algorithms in Intrusion Detection System
Author_Institution :
Dept. Inf., Univ. of Finance & Econ., Xi´´an, China
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;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.550
