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Refinement of device classification and clustering based on policy coloring

机译:基于策略着色的设备分类和聚类改进

摘要

In one embodiment, a device classification service receives data indicative of network traffic policies assigned to a plurality of device types. The device classification service associates measures of policy restrictiveness with the device types, based on the received data indicative of the network traffic policies assigned to the plurality of device types. The device classification service determines misclassification costs associated with a machine learning-based device type classifier of the service misclassifying an endpoint device of one of the plurality device types with another of the plurality of device types, based on their associated measures of policy restrictiveness. The device classification service adjusts the machine learning-based device type classifier to account for the determined misclassification costs.
机译:在一个实施例中,设备分类服务接收指示分配给多个设备类型的网络流量策略的数据。 基于指示分配给多个设备类型的网络流量策略的接收数据,设备分类服务将策略限制性的措施与设备类型相关联。 设备分类服务基于其相关的策略限制措施,确定与将多个设备类型之一的一个端点设备错误分类的服务的基于机器学习的设备类型分类器相关联的错误分类成本。 设备分类服务调整基于机器学习的设备类型分类器,以考虑确定的错误分类成本。

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