Data Segregation For Partially Supervised Computer

20240187414

18/441557

February 14, 2024

A computing machine stores supervised computing resources and private computing resources. The computing machine facilitates tracking, by a supervision service, of activity of the computing machine with respect to a supervised computing resource of the supervised resources that is executing on the computing machine. The computing machine supports user privacy, by the supervision service, with respect to a private computing resource of the private computing resources that is executing on the computing machine.

Venn Technology Corporation (New York, NY, US)

1. A method comprising: storing, at a computing machine, supervised computing resources and private computing resources; facilitating tracking, by a supervision service, of activity of the computing machine with respect to a supervised computing resource of the supervised resources that is executing on the computing machine; and supporting user privacy, by the supervision service, with respect to a private computing resource of the private computing resources that is executing on the computing machine.

2. The method of claim 1, further comprising: causing display, at a graphical user interface of the computing machine, of a graphical user interface element indicating whether at least one of camera-generated data, microphone data, or user input device data is being tracked by the supervision service.

3. The method of claim 1, further comprising: facilitating tracking, by the supervision service, of network access activity, file system activity, or printing activity of the computing machine by the supervised computing resource; and supporting user privacy, by the supervision service, of the network access activity, the file system activity, or the printing activity of the computing machine by the private computing resource.

4. The method of claim 1, further comprising: facilitating access to the computing machine from a remote machine by the supervision service; granting access, by the remote machine, to the supervised computing resource; and denying access, by the remote machine, to the private computing resource.

5. The method of claim 1, further comprising: executing an antivirus program associated with the supervisions service at the computing machine; granting access, by the antivirus program, to the supervised computing resources; and denying access, by the antivirus program, to the private computing resources.

6. The method of claim 1, further comprising: segregating, at the computing machine, the supervised computing resources from the private computing resources based on at least one privacy rule.

7. The method of claim 1, wherein the at least one privacy rule specifies that the supervised computing resources comprise a specified set of applications.

8. The method of claim 1, wherein the at least one privacy rule indicates that the supervised computing resources comprise at least one of a virtual disk, a cloud storage, or a specified region of local memory.

9. The method of claim 1, wherein the at least one privacy rule classifies each computing resource in a set of computing resources as being either one of the supervised computing resources or one of the private computing resources.

10. The method of claim 1, further comprising: tracking, by the supervision service, an amount of use of the supervised computing resources and an amount of use of the private computing resources during a preset time period; identifying, by the supervision service, specific supervised computing resources that are accessed during the tracking; and forgoing identifying, by the supervision service, specific private computing resources that are accessed during the tracking.

11. The method of claim 10, wherein tracking the amount of use of the supervised computing resources comprises tracking an amount of time when one of the supervised computing resources is a most dominant computing resource in a stack of computing resources, wherein tracking the amount of use of the private computing resources comprises tracking an amount of time when one of the private computing resources is the most dominant computing resource in the stack of computing resources.

12. The method of claim 10, wherein tracking the amount of use of the supervised computing resources comprises tracking an amount of memory used by the supervised computing resources, wherein tracking the amount of use of the private computing resources comprises tracking an amount of the memory used by the private computing resources.

13. A non-transitory machine-readable medium storing instructions that, when executed by processing circuitry, cause the processing circuitry to perform operations comprising: storing, at a computing machine, supervised computing resources and private computing resources; facilitating tracking, by a supervision service, of activity of the computing machine with respect to a supervised computing resource of the supervised resources that is executing on the computing machine; and supporting user privacy, by the supervision service, with respect to a private computing resource of the private computing resources that is executing on the computing machine.

14. The non-transitory machine-readable medium of claim 13, the operations further comprising: causing display, at a graphical user interface of the computing machine, of a graphical user interface element indicating whether at least one of camera-generated data, microphone data, or user input device data is being tracked by the supervision service.

15. The non-transitory machine-readable medium of claim 13, the operations further comprising: facilitating tracking, by the supervision service, of network access activity, file system activity, or printing activity of the computing machine by the supervised computing resource; and supporting user privacy, by the supervision service, of the network access activity, the file system activity, or the printing activity of the computing machine by the private computing resource.

16. The non-transitory machine-readable medium of claim 13, the operations further comprising: facilitating access to the computing machine from a remote machine by the supervision service; granting access, by the remote machine, to the supervised computing resource; and denying access, by the remote machine, to the private computing resource.

17. A system comprising: processing circuitry; and memory storing instructions that, when executed by the processing circuitry, cause the processing circuitry to perform operations comprising: storing, at a computing machine, supervised computing resources and private computing resources; facilitating tracking, by a supervision service, of activity of the computing machine with respect to a supervised computing resource of the supervised resources that is executing on the computing machine; and supporting user privacy, by the supervision service, with respect to a private computing resource of the private computing resources that is executing on the computing machine.

18. The system of claim 17, the operations further comprising: tracking, by the supervision service, an amount of use of the supervised computing resources and an amount of use of the private computing resources during a preset time period; identifying, by the supervision service, specific supervised computing resources that are accessed during the tracking; and forgoing identifying, by the supervision service, specific private computing resources that are accessed during the tracking.

19. The system of claim 18, wherein tracking the amount of use of the supervised computing resources comprises tracking an amount of time when one of the supervised computing resources is a most dominant computing resource in a stack of computing resources, wherein tracking the amount of use of the private computing resources comprises tracking an amount of time when one of the private computing resources is the most dominant computing resource in the stack of computing resources.

20. The system of claim 18, wherein tracking the amount of use of the supervised computing resources comprises tracking an amount of the memory used by the supervised computing resources, wherein tracking the amount of use of the private computing resources comprises tracking an amount of the memory used by the private computing resources.

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