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根据分类技术建立入侵检测系统的思路,构造了一个基于贝叶斯分类的入侵检测系统模型。本文提出了利用未标记数据提高贝叶斯分类器性能的方法,可以大大提高入侵检测系统准确率和效率。
According to the idea of classification technology to establish intrusion detection system, an intrusion detection system model based on Bayesian classification is constructed. This paper presents a method of using unlabeled data to improve the performance of Bayesian classifier, which can greatly improve the accuracy and efficiency of intrusion detection system.