论文信息 - Using Boosting Learning Method for Intrusion Detection

Using Boosting Learning Method for Intrusion Detection

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.

Wu Yang | Xiao-chun Yun | Yongtian Yang

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