METHOD AND SYSTEM FOR GENERATING BEHAVIOR PROFILES FOR DEVICE MEMBERS OF A NETWORK

• US 20160080520A1
• Filed: 11/20/2015
• Published: 03/17/2016
• Est. Priority Date: 01/24/2011
• Status: Active Grant

• Current Assignee: Beet, LLC
• Original Assignee: Beet, LLC
• Inventors: Wang, David
• Granted Patent: US 10,122,818 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/303 Terminal profiles

Abstract

A method and system for generating a digital profile defined by digital behavior expressed by a device includes receiving digital behavior data and identifying information defined by a device in communication with a content server, generating a device profile for the device, associating the device with at least one device population, and generating a population profile defined by the device population. The device profiles and population profiles may be made accessible to users of a social network. Related contents, including identifying information, device behavior analysis, comparative ratings, service and diagnostic information, messages and alerts may be associated with a device profile or population profile and published to the social network. A population profile may define normal digital behavior of the population, such that the population profile may be compared with the device profile of a device, to determine whether the device operation is abnormal with respect to the population profile.

Claims

1. A system comprising:

a content server;

a plurality of devices in communication with the content server via a network;

wherein each respective device of the plurality of devices outputs digital behavior data during each respective operation cycle of a plurality of operation cycles performed by the respective device;

wherein the content server;

receives the digital behavior data outputted by the respective device during each respective operation cycle of the plurality of operation cycles performed by the respective device;

associates the digital behavior data with the respective device and the respective operation cycle;

generates a respective device behavior profile for the respective device using the digital behavior data outputted by the respective device during the plurality of operation cycles; and

stores the respective device behavior profile;

wherein the respective device behavior profile for the respective device is predictive of the normal operation behavior profile of the respective device.

2. The system of claim 1, wherein the digital behavior data output during each respective operation cycle defines a cycle time of an operation performed by the respective device during the respective operation cycle.

3. The system of claim 1, wherein the digital behavior data output during each respective operation cycle defines a power consumption pattern of the respective device during the respective operation cycle.

4. The system of claim 1, further comprising:

wherein each respective device is identified by at least one identifier;

wherein a device population is defined by the at least one identifier; and

wherein the content server associates the respective device and the respective device behavior profile with the device population.

5. The system of claim 4, wherein the device population includes a plurality of devices identified by at least one identifier;

and

wherein the content server;

generates a population behavior profile for the device population using the digital behavior data outputted by the plurality of devices identified by at least one identifier; and

stores the population device behavior profile;

wherein the population device behavior profile is predictive of the normal operation behavior profile of each of the plurality of devices identified by at least one identifier.

6. The system of claim 5, wherein the content server compares at least one device behavior profile of the plurality of devices identified by at least one identifier to the population device behavior profile to determine whether the at least one device behavior profile exhibits abnormal digital behavior in comparison to the population device behavior profile.

7. The system of claim 6, wherein the content server generates an alert related to the at least one device behavior profile when abnormal digital behavior is exhibited.

8. The system of claim 4, wherein the at least one identifier is a location.

9. The system of claim 4, wherein the at least one device population includes a first device and a second device each identified by the location;

and

wherein the first device and the second device are dissimilar devices.

10. The system of claim 4, wherein the at least one identifier is a device type.

11. The system of claim 4, wherein:

the at least one identifier includes a first identifier and a second identifier;

the first identifier is a device type; and

the second identifier is one of a device make and a device manufacturer.

12. The system of claim 1, further comprising:

a data transfer member in communication with at least one respective device of the plurality of devices;

wherein the data transfer member senses the digital behavior data of the at least one respective device during each respective operation cycle of a plurality of operation cycles performed by the respective device;

wherein the data transfer member outputs a power consumption pattern defined by the digital behavior data to the content server;

wherein the content server;

receives the power consumption pattern outputted by the data transfer member during each respective operation cycle of the plurality of operation cycles performed by the respective device;

associates the power consumption pattern with the respective device and the respective operation cycle;

generates a respective device behavior profile for the respective device using the power consumption pattern outputted by the respective device during the plurality of operation cycles; and

stores the respective device behavior profile;

wherein the respective device behavior profile for the respective device is predictive of the normal power consumption pattern of the respective device.

13. The system of claim 12, further comprising:

wherein the content server compares a subsequent power consumption pattern of a subsequent operation cycle performed by the respective device to the respective device behavior profile to determine whether the respective device exhibits an abnormal power consumption pattern during the subsequent operation cycle, in comparison to the respective device behavior profile.

14. A method comprising:

receiving digital behavior data outputted by each respective device of a plurality of devices in communication with a content server via a network;

wherein the digital behavior data is outputted during each respective operation cycle of a plurality of operation cycles performed by the respective device;

associating the digital behavior data with the respective device and the respective operation cycle, using the content server;

generating a respective device behavior profile for the respective device using the digital behavior data outputted by the respective device during the plurality of operation cycles; and

storing the respective device behavior profile;

wherein the respective device behavior profile for the respective device is predictive of the normal operation behavior profile of the respective device.

15. The method of claim 14, wherein the digital behavior data output during each respective operation cycle defines a cycle time of an operation performed by the respective device during the respective operation cycle.

16. The method of claim 14, wherein the digital behavior data output during each respective operation cycle defines a power consumption pattern of the respective device during the respective operation cycle.

17. The method of claim 14,

wherein each respective device is identified by at least one identifier;

and

wherein a device population is defined by the at least one identifier;

the method further comprising;

associating the respective device and the respective device behavior profile with the device population using the content server.

18. The method of claim 17,

wherein the device population includes a plurality of devices identified by at least one identifier;

the method further comprising;

generating a population behavior profile for the device population using the digital behavior data outputted by the plurality of devices identified by at least one identifier using the content server; and

storing the population device behavior profile;

wherein the population device behavior profile is predictive of the normal operation behavior profile of each of the plurality of devices identified by at least one identifier.

19. The method of claim 18, further comprising:

comparing at least one device behavior profile of the plurality of devices identified by at least one identifier to the population device behavior profile, using the content server, to determine whether the at least one device behavior profile exhibits abnormal digital behavior in comparison to the population device behavior profile.

20. The method of claim 19, further comprising:

generating an alert related to the at least one device behavior profile when abnormal digital behavior is exhibited.

21. The method of claim 14, further comprising:

sensing the digital behavior data of at least one respective device, during each respective operation cycle of a plurality of operation cycles performed by the respective device, using a data transfer member in communication with the at least one respective device of the plurality of devices;

outputting a power consumption pattern defined by the digital behavior data to the content server from the data transfer member;

the method further comprising the content server;

receiving the power consumption pattern outputted by the data transfer member during each respective operation cycle of the plurality of operation cycles performed by the respective device;

associating the power consumption pattern with the respective device and the respective operation cycle;

generating a respective device behavior profile for the respective device using the power consumption pattern outputted by the respective device during the plurality of operation cycles; and

storing the respective device behavior profile;

wherein the respective device behavior profile for the respective device is predictive of the normal power consumption pattern of the respective device.

22. The method of claim 21, further comprising the content server:

comparing a subsequent power consumption pattern of a subsequent operation cycle performed by the respective device to the respective device behavior profile; and

determining whether the respective device exhibits an abnormal power consumption pattern during the subsequent operation cycle, in comparison to the respective device behavior profile.