This paper proposes a new anomaly intrusion detection method based on support vector data description (SVDD).

提出了一种基于支持向量数据描述算法的异常检测方法。

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This paper proposes a new Support Vector Machine(SVM) for anomaly intrusion detection method based on Latent Semantic Indexing(LSI).

论文提出了一种基于潜在语义索引（LSI）和支持向量机（SVM）的异常入侵检测方法。

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And then the two typical methods of the intrusion detection on its importance are discussed-the basic concept of anomaly detection method and compared study detection method.

重点论述了两种典型的入侵检测方法—异常行为检测方法和比较学习检测方法的基本原理，并在此基础上实现了一个实际的入侵检测专家系统。

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