METHODS OF GENERATING COMMUNITY TRUST VALUES FOR COMMUNITIES OF NODES IN A NETWORK AND RELATED SYSTEMS

• US 20150350038A1
• Filed: 05/27/2014
• Published: 12/03/2015
• Est. Priority Date: 05/27/2014
• Status: Abandoned Application

• Current Assignee: Telefonaktiebolaget LM Ericsson
• Original Assignee: Telefonaktiebolaget LM Ericsson
• Inventors: MOHAN, Saravanan, Nandhini, Jaganathan Prasad, Nandhini, Srinivasan
• Application Number:
  US14/287,455
• Publication Number:
  US 20150350038A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 21/57 Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
• CPC Class Codes: H04L 63/104 Grouping of entities
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

A method of evaluating trust in a network may include defining a community of nodes of the network from a larger set of nodes of the network. A respective individual trust value may be generated for each node of the community of nodes, and a community trust value may be generated based on the individual trust values of nodes of the community. Related systems are also discussed.

Claims

1. A method of evaluating trust in a network, the method comprising:

defining a community of nodes of the network from a larger set of nodes of the network;

generating a respective individual trust value for each node of the community of nodes; and

generating a community trust value based on the individual trust values of nodes of the community.

2. The method of claim 1 wherein generating the community trust value comprises generating the community trust value as an average of the individual trust values of the nodes of the community.

3. The method of claim 1 wherein defining the community comprises defining a first community of nodes, and wherein generating the community trust value comprises generating a first community trust value based on the individual trust values of the nodes of the first community, the method further comprising:

defining a second community of nodes from the larger set of nodes operating in the network;

generating a respective individual trust value for each node of the second community of nodes; and

generating a second community trust value based on the individual trust values of nodes of the second community.

4. The method of claim 3 further comprising:

responsive to a difference between the first and second community trust values, selectively providing a service for nodes of the first community without providing the service for nodes of second community.

5. The method of claim 3 further comprising:

responsive to a difference between the first and second community trust values, selectively transmitting a communication for nodes of the first community without transmitting the communication for nodes of second community.

6. The method of claim 3 wherein nodes of the first and second communities are mutually exclusive.

7. The method of claim 1 wherein defining the community of nodes comprises defining a first community of nodes for a first time period of a day, wherein generating the respective individual trust values comprises generating the respective individual trust values for each node of the first community of nodes for the first time period of the day, and wherein generating the community trust value comprises generating a first community trust value for the first time period of the day, the method further comprising:

defining a second community of nodes from the larger set of nodes operating in the network for a second period of the day, wherein at least one node of the first and second communities is the same and wherein some nodes of the first and second communities are different;

generating a respective individual trust value for each node of the second community of nodes for the second time period of the day; and

generating a second community trust value based on the individual trust values of nodes of the second community for the second time period of the day.

8. The method of claim 7 wherein a first node is included in the first and second communities of nodes and wherein a second node is included in the first community and excluded from the second community.

9. The method of claim 8 wherein a third node is included in the second community and excluded from the first community.

10. The method of claim 1 wherein the network comprises a mobile communication network including a plurality of base stations and wherein each of the nodes comprises a respective wireless terminal configured to communicate over a wireless interface with the base stations of the mobile communication network.

11. The method of claim 1 wherein generating a respective individual trust value for a node of the community comprises:

determining an indegree for the node as a number of communications received by the node, and

determining a degree for the node as a total number of communications initiated and received by the node,

wherein generating the respective individual trust value for the node comprises generating the respective individual trust value for the node based on the indegree and degree for the node.

12. The method of claim 1 wherein generating a respective individual trust value for a first node of the community comprises:

determining a frequency as a number of communications initiated by a second node that are received by the first node,

comparing user profiles of the first and second nodes, and

determining a second to first node trust value based on the frequency and the comparing user profiles of the first and second nodes,

wherein generating the respective individual trust value for the first node comprises generating the respective individual trust value for the first node based on the second to first node trust value.

13. The method of claim 12, wherein the frequency is a first frequency and wherein generating a respective individual trust value for a first node of the community further comprises,

determining a second frequency as a number of communications initiated by a third node that are received by the first node,

comparing user profiles of the first and third nodes, and

determining a third to first node trust value based on the second frequency and the comparing user profiles of the first and second nodes,

wherein generating the respective individual trust value for the first node comprises generating the respective individual trust value for the first node based on the second to first node trust value and the third to first node trust value.

14. The method of claim 13 wherein generating the respective individual trust value for the first node comprises summing the second to first node trust value and the third to first node trust value.

15. The method of claim 12 wherein comparing user profiles comprises comparing fields of work associated with users of the first and second nodes, interests associated with users of the first and second nodes, and/or comparing locations associated with the first and second nodes.

16. The method of claim 12 wherein generating the second to first node trust value comprises generating a weight based on comparing the user profiles of the first and second nodes and generating a product of the weight and the frequency.

17. The method of claim 16 wherein generating the second to first node trust value further comprises performing a hyperbolic tangent function on the product of the weight and the frequency.

18. A computer system comprising:

a processor; and

memory coupled to the processor and comprising computer readable program code that when executed by the processor causes the processor to perform operations comprising;

defining a community of nodes of the network from a larger set of nodes of the network;

generating a respective individual trust value for each node of the community of nodes; and

generating a community trust value based on the individual trust values of nodes of the community.

19. The computer system of claim 18 wherein generating the community trust value comprises generating the community trust value as an average of the individual trust values of the nodes of the community.

20. The computer system of claim 18 wherein defining the community comprises defining a first community of nodes, and wherein generating the community trust value comprises generating a first community trust value based on the individual trust values of the nodes of the first community, wherein the memory further comprises computer readable program code that when executed by the processor causes the processor to perform operations comprising:

defining a second community of nodes from the larger set of nodes operating in the network;

generating a respective individual trust value for each node of the second community of nodes; and

generating a second community trust value based on the individual trust values of nodes of the second community.