Self-training classification
AssigneeForescout Technologies, Inc.
InventorsSiying Yang, Yang Zhang
Life of this patent
Estimating the term…
Abstract
Systems, methods, and related technologies for classification are described. In certain aspects, a plurality of device classification methods with associated models are accessed. Each of the classification methods have an associated reliability level. The models of classification methods with a higher reliability level than other classifications methods are used to at least one of train or tune the models associated with lower reliability level.
Claims20
A method comprising:
- accessing a plurality of device classification methods, wherein each of the plurality of methods has a respective associated model, and wherein each of the plurality of methods has a respective associated reliability level in classifying a device type or a device model of a plurality of devices communicatively coupled to a network;
- generating, by a processing device, a respective data set associated with each of the device classification methods based on classifying the device type or the device model of the plurality of devices communicatively coupled to the network;
- and
- selecting a first device classification method and a second device classification method of the plurality of device classification methods, wherein the first device classification method has a higher reliability level than the second device classification method.
A system comprising:
- a memory;
- and
- a processing device, operatively coupled to the memory, to:
- access a plurality of device classification methods, wherein each of the plurality of methods has a respective associated model, and wherein each of the plurality of methods has a respective associated reliability level in classifying a device type or a device model of a plurality of devices communicatively coupled to a network;
- generate a respective data set associated with each of the device classification methods based on classifying the device type or the device model of the plurality of devices communicatively coupled to the network;
- and
- select a first device classification method and a second device classification method of the plurality of device classification methods, wherein the first device classification method has a higher reliability level than the second device classification method.
A non-transitory computer readable medium having instructions encoded thereon that, when executed by a processing device, cause the processing device to:
- determine which of a plurality of device classification methods can be used based on an initial classification of a device type or a device model of a plurality of devices communicatively coupled to the network;
- and
- generate, by the processing device, a respective data set associated with each of a plurality of device classification methods based on classifying the device type or the device model of the plurality of devices communicatively coupled to a network, wherein each of the plurality of methods has a respective associated model, and wherein each of the plurality of methods has a respective associated reliability level in classifying the device type or the device model of the plurality of devices.
Dependencies are inferred from the claim text.