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将一种基于支持向量机的Boosting算法应用于入侵检测,并通过KDD’99数据的仿真实验将它与单一的支持向量机分类器进行比较,结果表明Boosting算法比单一的支持向量机分类器具有更好的检测效果。
A Boosting algorithm based on support vector machine is applied to intrusion detection. Compared with a single SVM classifier through KDD’99 data simulation, the results show that Boosting algorithm has better performance than single SVM classifier with Better detection results.