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NETWORK-BASED APPROACH FOR TRAINING SUPERVISED LEARNING CLASSIFIERS
NETWORK-BASED APPROACH FOR TRAINING SUPERVISED LEARNING CLASSIFIERS
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机译:基于网络的培训学习分类器的方法
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摘要
A supervisory device in a network receives (810) traffic data from a security device that uses traffic signatures to assess traffic in the network. The supervisory device receives (815) traffic data from one or more distributed learning agents that use machine learning-based anomaly detection to assess traffic in the network. The supervisory device trains (820) a traffic classifier using the received traffic data from the security device and from the one or more distributed learning agents. The supervisory device deploys (825) the traffic classifier to a selected one of the one or more distributed learning agents.
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