并通过实验，验证了本文所提出的流量分类与异常流量检测方法的实时性和有效性。
What's more, writer has validated the real-time and effectiveness of the classification of traffic and anomaly detection methods by experiment.
为了解决该问题，提出一种基于全局流量异常相关分析的检测方法。
To solve this problem, a detection method based on global abnormal correlation analysis was proposed.
提出了一种基于支持向量机的网络流量异常检测方法。
A network traffic anomaly detection mechanism is presented based on support vector machine (SVM).
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