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Machine learning-based traffic classification using compressed network telemetry data
Machine learning-based traffic classification using compressed network telemetry data
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机译:使用压缩网络遥测数据的基于机器学习的流量分类
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摘要
In one embodiment, a device in a network receives telemetry data regarding a traffic flow in the network. One or more features in the telemetry data are individually compressed. The device extracts the one or more individually compressed features from the received telemetry data. The device performs a lookup of one or more classifier inputs from an index of classifier inputs using the one or more individually compressed features from the received telemetry data. The device classifies the traffic flow by inputting the one or more classifier inputs to a machine learning-based classifier.
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