Edge-based machine learning for encoding legitimate scanning
US-2017279833-A1 · Sep 28, 2017 · US
US12192080B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12192080-B2 |
| Application number | US-202318471974-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 21, 2023 |
| Priority date | Dec 6, 2016 |
| Publication date | Jan 7, 2025 |
| Grant date | Jan 7, 2025 |
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Systems, methods, and related technologies for device classification are described. Methods include determining device information associated with a device coupled to a network, the device information including information obtained from one or more sources, classifying the device using the device information as input to a classifier, and applying a policy to the device based on the classification of the device.
Opening claim text (preview).
What is claimed is: 1. A method comprising: determining, by a processing device, device information associated with a device coupled to a network, wherein the device information comprises information obtained from one or more of a plurality of available sources; classifying, by the processing device, the device using the device information as input to a classifier; and applying a policy to the device based on the classification of the device. 2. The method of claim 1 , further comprising: storing the classification of the device. 3. The method of claim 1 , further comprising: determining whether the device comprises a local agent; in response to determining that the device comprises a local agent, obtaining the device information from the local agent; and in response to determining that the device does not comprise a local agent, obtaining the device information from an external source. 4. The method of claim 1 , further comprising aggregating the device information from the one or more of the plurality of available sources. 5. The method of claim 1 , wherein the device information comprises network traffic information associated with source and destination traffic information. 6. The method of claim 1 , wherein the device information is obtained through an active scan of the device. 7. The method of claim 1 , wherein the device information comprises user information associated with the device. 8. A system comprising: a memory; and a processing device, operatively coupled to the memory, to: determine device information associated with a device coupled to a network, wherein the device information comprises information obtained from one or more of a plurality of available sources; classify the device using the device information as input to a classifier; and apply a policy to the device based on the classification of the device. 9. The system of claim 8 , wherein the processing device is further to: store the classification of the device. 10. The system of claim 8 , wherein the processing device is further to: determine whether the device comprises a local agent; in response to determining that the device comprises a local agent, obtain the device information from the local agent; and in response to determining that the device does not comprise a local agent, obtain the device information from an external source. 11. The system of claim 8 , wherein the processing device is further to aggregate the device information from the one or more of the plurality of available sources. 12. The system of claim 8 , wherein the device information comprises network traffic information associated with source and destination traffic information. 13. The system of claim 8 , wherein the device information is obtained through an active scan of the device. 14. The system of claim 8 , wherein the device information comprises user information associated with the device. 15. A non-transitory computer readable storage medium including instructions stored therein, that when executed by a processing device, cause the processing device to: determine device information associated with a device coupled to a network, wherein the device information comprises information obtained from one or more of a plurality of available sources; classify the device using the device information as input to a classifier; and apply a policy to the device based on the classification of the device. 16. The non-transitory computer readable storage medium of claim 15 , wherein the processing device is further to: store the classification of the device. 17. The non-transitory computer readable storage medium of claim 15 , wherein the processing device is further to: determine whether the device comprises a local agent; in response to determining that the device comprises a local agent, obtain the device information from the local agent; and in response to determining that the device does not comprise a local agent, obtain the device information from an external source. 18. The non-transitory computer readable storage medium of claim 15 , wherein the processing device is further to aggregate the device information from the one or more of the plurality of available sources. 19. The non-transitory computer readable storage medium of claim 15 , wherein the device information comprises network traffic information associated with source and destination traffic information. 20. The non-transitory computer readable storage medium of claim 15 , wherein the device information is obtained through an active scan of the device. 21. The non-transitory computer readable storage medium of claim 15 , wherein the device information comprises user information associated with the device.
Discovery or management thereof, e.g. service location protocol [SLP] or web services · CPC title
Hardware identity · CPC title
Managing security policies for mobile devices or for controlling mobile applications · CPC title
Security arrangements; Authentication; Protecting privacy or anonymity · CPC title
comprising network management agents or mobile agents therefor · CPC title
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