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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Yang, W., Yun, X. C., & Yang, Y. T. (2005). Using boosting learning method for intrusion detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3584 LNAI, pp. 634–641). Springer Verlag. https://doi.org/10.1007/11527503_75
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