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Using Boosting Learning Method for Intrusion Detection.

Authors :
Li, Xue
Wang, Shuliang
Dong, Zhao Yang
Yang, Wu
Yun, Xiao-Chun
Yang, Yong-Tian
Source :
Advanced Data Mining & Applications (9783540278948); 2005, p634-641, 8p
Publication Year :
2005

Abstract

It is an important research topic to improve detection rate and reduce false positive rate of detection model in the field of intrusion detection. This paper adopts an improved boosting method to enhance generalization performance of intrusion detection model based on rule learning algorithm, and presents a boosting intrusion detection rule learning algorithm (BIDRLA). The experiment results on the standard intrusion detection dataset validate the effectiveness of BIDRLA. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540278948
Database :
Complementary Index
Journal :
Advanced Data Mining & Applications (9783540278948)
Publication Type :
Book
Accession number :
32864226
Full Text :
https://doi.org/10.1007/11527503_75