Sensors for a resource

• US 9,954,865 B2
• Filed: 09/04/2015
• Issued: 04/24/2018
• Est. Priority Date: 02/23/2012
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Salem, Malek Ben, Bhatti, Rafae, Solderitsch, James
• Primary Examiner(s): Song, Hosuk
• Assistant Examiner(s): Murphy, J. Brant
• Application Number:
  US14/846,108
• Publication Number:
  US 20150381631A1
• Time in Patent Office: 963 Days
• CPC Class Codes: G06F 21/44 Program or device authentication
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: H04L 63/0853 using an additional device, e.g. smartcard, SIM or a different communication terminal cryptographic mechanisms or cryptographic arrangements for entity authentication involving additional secure or trusted devices H04L9/3234
• CPC Class Codes: H04L 63/102 Entity profiles

Abstract

A system may include first sensor to monitor first information relating a volume of information searched by a user, a second sensor to monitor second information relating to a number of requests, made by the user, to access a resource, a third sensor to monitor third information relating to a number of requests, made by the user, from different geographic locations, and a device to receive the first information, the second information, and the third information, and process the first information, the second information, and the third information in connection with the resource.

Claims

1. A method comprising:

storing, by a device, a plurality of documents;

identifying, by the device, profile information associated with a plurality of users;

identifying, by the device and based on receiving request information from a user device associated with a user of the plurality of users, and via a network, a sensitivity score for a document of the plurality of documents,

the sensitivity score for the document being determined based on frequencies of one or more words within the document, and

the request information including information requesting transmittal of the document to the user;

computing, by the device and based on receiving the request information, a confidence score for the user,

the confidence score being computed based on the profile information and based on a comparison of historical actions of the user and actions, of the user, occurring during a particular period of time;

computing, by the device and based on receiving the request information, a need-to-access score for the user,

the need-to-access score being computed based on the sensitivity score for the document and the confidence score for the user;

computing, by the device, a user trust score for the user,

the user trust score being computed by using the sensitivity score, the confidence score,

and the need-to-access score;

adjusting, by the device and based on the profile information associated with the user, the user trust score to generate an adjusted user trust score; and

selectively transmitting, by the device, based on the adjusted user trust score, and to the user device via the network, the document.

2. The method of claim 1, where identifying the sensitivity score comprises:

classifying the document;

assigning, based on classifying the document, the sensitivity score to the document; and

identifying the sensitivity score based on assigning the sensitivity score to the document.

3. The method of claim 1, where computing the user trust score comprises:

using a respective profile, of the profile information, to compute the user trust score.

4. The method of claim 1, where:

the user is granted access to the document when the adjusted user trust score satisfies a threshold value, and

the user is not granted access to the document when the adjusted user trust score does not satisfy the threshold value.

5. The method of claim 4, further comprising:

adjusting, when the user is granted access to the document, the adjusted user trust score based on user action associated with the document.

6. The method of claim 1, where computing the confidence score comprises:

analyzing the historical actions of the user,

the historical actions including information associated with one or more previous access requests, by the user, for the document; and

computing the confidence score based on analyzing the historical actions of the user.

7. The method of claim 1, where the sensitivity score is based on content included in the document.

8. A device comprising:

a memory to store instructions; and

a processor to execute the instructions to;

store a plurality of documents;

identify profile information associated with a plurality of users;

identify, based on receiving request information from a user device associated with a user of the plurality of users, and via a network, a sensitivity score for a document of the plurality of documents,

the sensitivity score for the document being determined based on frequencies of one or more words within the document, and

the request information including information requesting transmittal of the document to the user;

compute, based on receiving the request information, a confidence score for the user,

the confidence score being computed based on a comparison of historical actions of the user and actions, of the user, occurring during a particular period of time;

compute, based on receiving the request information, a need-to-access score for the user,

the need-to-access score being computed based on the sensitivity score for the document and the confidence score for the user;

compute a user trust score for the user,

the user trust score being computed by using the sensitivity score, the confidence score, and the need-to-access score;

adjust, based on the profile information, the user trust score to generate an adjusted user trust score; and

selectively transmit, based on the adjusted user trust score, and to the user device via the network, the document.

9. The device of claim 8, where the processor, when identifying the sensitivity score, is to:

classify the document;

assign, based on classifying the document, the sensitivity score to the document; and

identify the sensitivity score based on assigning the sensitivity score to the document.

10. The device of claim 8, where the processor, when computing the user trust score, is to:

use a respective profile, of the profile information, to compute the user trust score.

11. The device of claim 8, where:

the user is granted access to the document when the adjusted user trust score satisfies a threshold value, and

the user is not granted access to the document when the adjusted user trust score does not satisfy the threshold value.

12. The device of claim 11, where the processor is further to:

adjust, when the user is granted access to the document, the adjusted user trust score based on user action associated with the document.

13. The device of claim 8, where the processor, when computing the confidence score, is to:

analyze the historical actions of the user,

the historical actions including information associated with one or more previous access requests, by the user, for the document; and

compute the confidence score based on analyzing the historical actions of the user.

14. The device of claim 8, where the sensitivity score is based on content included in the document.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions which, when executed by a processor, cause the processor to;

store a plurality of documents;

identify profile information associated with a plurality of users;

identify, based on receiving request information from a user device associated with a user of the plurality of users, and via a network, a sensitivity score for a document of the plurality of documents,

the sensitivity score for the document being determined based on frequencies of one or more words within the document, and

the request information including information requesting transmittal of the document to the user;

compute, based on receiving the request information, a confidence score for the user,

the confidence score being computed based on a comparison of historical actions of the user and actions, of the user, occurring during a particular period of time;

compute, based on receiving the request information, a need-to-access score for the user

the need-to-access score being computed based on the sensitivity score for the document and the confidence score for the user;

compute a user trust score for the user,

the user trust score being computed by using the sensitivity score, the confidence score, and the need-to-access score;

adjust, based on the profile information, the user trust score to generate an adjusted user trust score; and

selectively transmit, based on the adjusted user trust score, and to the user device via the network, the document.

16. The non-transitory computer-readable medium of claim 15, where the one or more instructions to identify the sensitivity score include:

one or more instructions to classify the document;

one or more instructions to assign, based on classifying the document, the sensitivity score to the document; and

one or more instructions to identify the sensitivity score based on assigning the sensitivity score to the document.

17. The non-transitory computer-readable medium of claim 15, where the one or more instructions to compute the user trust score include:

one or more instructions to use a respective profile, of the profile information, to compute the user trust score.

18. The non-transitory computer-readable medium of claim 15, where:

the user is granted access to the document when the adjusted user trust score satisfies a threshold value, and

the user is not granted access to the document when the adjusted user trust score does not satisfy the threshold value.

19. The non-transitory computer-readable medium of claim 18, where the instructions further include:

one or more instructions to adjust, when the user is granted access to the document, the adjusted user trust score based on user action associated with the document.

20. The non-transitory computer-readable medium of claim 15, where the one or more instructions to compute the confidence score include:

one or more instructions to analyze the historical actions of the user,

the historical actions including information associated with one or more previous access requests, by the user, for the document; and

one or more instructions to compute the confidence score based on analyzing the historical actions of the user.