The application research of classifier ensemble in intrusion detection
Abstract：Intrusion detection is an important research area of network security. Applying the classifier ensemble to the detection module of an intrusion detection system can improve the detection effect. The application research of classifier ensemble in intrusion detection is studied in this paper, and a diversity measure method and an ensemble method based on the former method are proposed, considering both accuracy and diversity of the base classifiers. Experimental results demonstrate that the ensemble method is better than bagging, and can achieve better detection performance.
Keywords：intrusion detectiondiversity measureclassifier ensemble
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 322-325 )