IP Library › Granted Patent US 11,550,560
Granted Patent B2
US 11,550,560 · App. 16/887,350 · Granted Jan 10, 2023

Enhanced device updating

Inventor: Siying Yang (Cupertino, CA)
Assignee: FORESCOUT TECHNOLOGIES, INC.
G06F8/65G06F9/547H04L41/082H04L63/1408H04L63/1433H04L63/20H04L67/34H04L67/75H04W12/08H04W12/35H04W12/37G06F8/71G06F9/5027G06F9/546H04L67/10H04L67/51
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Quick Facts
Patent No.
US 11,550,560
App. No.
16/887,350
Filed
May 29, 2020
Granted
Jan 10, 2023
Kind
B2
Art Unit
2192
USPC
717/172
Abstract

Systems, methods, and related technologies for device software monitoring and device software updating are described. In certain aspects, a device is selected based on being a smart device and a software version of associated with the software of the device is determined. The device software may then be automatically updated if newer software is available.

Claims (41)

1. A method comprising:

selecting a device, communicatively coupled to a network, based on a classification of the device as a smart device, wherein the device comprises a piece of software;

determining, with a processing device, a first software version associated with the software of the device, including determining a second software version of an application running on the processing device to determine the first software version and, in response to failing to determine the first software version based on the second software version, analyzing network traffic to determine at least one of: a traffic signature or a traffic pattern that indicates the first software version;

determining whether there is a newer software version associated with the software of the device;

in response to determining the newer software version associated with the software of the device, storing an indicator of the newer software version associated with the software device; and

performing automatically an update of the software associated with the device using software having the newer software version associated with the device.

2. The method of claim 1 , wherein the determining of the first software version associated with the device is performed without an agent executing on the device.

3. The method of claim 1 , wherein the update of the software associated with the device is performed without an agent executing on the device.

4. The method of claim 1 , wherein the update of the software associated with the device is performed using an application programming interface (API).

5. The method of claim 1 , wherein the update of the software associated with the device is performed using a command line interface (CLI).

6. The method of claim 1 further comprising:

determining whether credentials associated with the device are available, wherein the performing automatically the update of the software associated with the device is performed in response to determining that credentials associated with the device are available.

7. The method of claim 1 , wherein the determining of the first software version associated with the software of the device includes using simple network management protocol (SNMP).

8. The method of claim 1 , wherein the determining whether there is a newer software version associated with the software of the device includes at least one: of accessing a vendor website or FTP site.

9. The method of claim 1 , wherein the determining of the first software version associated with the software of the device includes performing application protocol analysis.

10. The method of claim 1 , wherein the determining of the first software version associated with the software of the device includes performing a port scan.

11. The method of claim 1 , wherein the determining of the first software version associated with the software of the device includes monitoring one or more differences in the traffic pattern.

12. The method of claim 1 , wherein the determining of the first software version associated with the software of the device includes monitoring software update communications.

13. The method of claim 1 , wherein the traffic signature is determined based on an input software version and monitoring of the network traffic.

14. A system comprising:

a memory; and

a processing device, operatively coupled to the memory, to:

select a device, communicatively coupled to a network, based on a classification of the device as a smart device, wherein the device comprises a piece of software;

determine a first software version associated with the software of the device, including to determine a second software version of an application running on the processing device to determine the first software version and, in response to failing to determine the first software version based on the second software version, analyze network traffic to determine at least one of: a traffic signature or a traffic pattern that indicates the first software version;

determine whether there is a newer software version associated with the software of the device; and

in response to a determination of the newer software version associated with the software of the device, store an indicator of the newer software version associated with the software of the device.

15. The system of claim 14 , wherein the processing device is further to perform automatically an update of the software associated with the device using software having the newer software version associated with the device.

16. The system of claim 15 , wherein the update of the software associated with the device is performed without an agent executing on the device.

17. The system of claim 15 , wherein the update of the software associated with the device is performed using an application programming interface (API).

18. The system of claim 14 , wherein the update of the software associated with the device is performed using a command line interface (CLI).

19. A non-transitory computer readable medium having instructions encoded thereon that, when executed by a processing device, cause the processing device to:

select a device, communicatively coupled to a network, based on a classification of the device as a smart device, wherein the device comprises a piece of software;

determine, by the processing device, a first software version associated with the software of the device, including to determine a second software version of an application running on the processing device to determine the first software version and, in response to failing to determine the first software version based on the second software version, analyze network traffic to determine at least one of: a traffic signature or a traffic pattern that indicates the first software version;

determine whether there is a newer software version associated with the software of the device;

in response to determining the newer software version associated with the software of the device, store an indicator of the newer software version associated with the software of the device; and

perform automatically an update of the software associated with the device using software having the newer software version associated with the device.

20. The non-transitory computer readable medium of claim 19 , wherein the update of the software associated with the device is performed without an agent executing on the device.

21. The non-transitory computer readable medium of claim 19 , wherein the update of the software associated with the device is performed using an application programming interface (API).

22. The non-transitory computer readable medium of claim 19 , wherein the update of the software associated with the device is performed using a command line interface (CLI).

23. The non-transitory computer readable medium of claim 19 , wherein the traffic signature is determined based on the first software version determined during an update process.

24. The non-transitory computer readable medium of claim 19 , wherein the traffic signature is determined based on a software update communication.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 10, 2020
From: YANG, SIYING
To: FORESCOUT TECHNOLOGIES, INC.
Reel/Frame 052893/0385 →
Continuity (2)
Continuation 15893280 · Feb 9, 2018
Related Publication 20200293305A1 · Sep 17, 2020
Cited By (1)
US 12,659,324