Enhanced data security platform

• US 10,229,288 B2
• Filed: 05/17/2016
• Issued: 03/12/2019
• Est. Priority Date: 05/17/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Dang, Bing, Knickerbocker, John U., Lu, Minhua
• Primary Examiner(s): Shiferaw, Eleni A
• Assistant Examiner(s): Steinle, Andrew J
• Application Number:
  US15/156,800
• Publication Number:
  US 20170337392A1
• Time in Patent Office: 1,029 Days
• Field of Search: None
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 21/602 Providing cryptographic facilities or services
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231

Abstract

A method for providing data security comprises operatively connecting sensing elements with a user, sensing characteristics of the user via the sensing elements, wherein each of the sensing elements comprises at least one unique semiconductor identifier. The at least one unique semiconductor identifier and data concerning the sensed characteristics is transmitted from the sensing elements to a data analytics engine, and at least one unique biological identifier associated with the user is attached to the transmission of the at least one unique semiconductor identifier and the data concerning the sensed characteristics. The method further includes verifying by the data analytics engine that the at least one unique semiconductor identifier of the sensing elements and the at least one biological identifier are valid, analyzing by the data analytics engine the data concerning the sensed characteristics, and generating and transmitting a response based on the analysis.

Claims

1. A method for providing data security, comprising:

operatively connecting one or more sensing elements with a user;

sensing one or more characteristics of the user via the one or more sensing elements, wherein each of the one or more sensing elements comprises at least one unique semiconductor identifier;

transmitting the at least one unique semiconductor identifier and data concerning the one or more sensed characteristics from the one or more sensing elements to a data analytics engine;

attaching a plurality of unique biological identifiers associated with the user to the transmission of the at least one unique semiconductor identifier and the data concerning the one or more sensed characteristics;

verifying by the data analytics engine that the at least one unique semiconductor identifier of the one or more sensing elements and at least one of the plurality of unique biological identifiers are valid;

analyzing by the data analytics engine the data concerning the one or more sensed characteristics;

generating a response based on the analysis;

transmitting the response from the data analytics engine to an integration device associated with the user;

determining at least one activity associated with the user to be anomalous;

dynamically altering which of the plurality of unique biological identifiers are referenced when verifying validity of the at least one of the plurality of unique biological identifiers;

generating a request for data from the integration device;

transmitting the request for data from the integration device to the data analytics engine with at least one unique semiconductor identifier corresponding to the integration device; and

attaching the at least one of the plurality unique biological identifiers associated with the user to the transmission of the request for data so that the data analytics engine can verify the validity of the at least one of the plurality of unique biological identifiers upon receipt of the request for data;

wherein the dynamically altering is automatically performed in response to the determination that the at least one activity is anomalous and is performed without notice to the user during the transmission of the at least one unique semiconductor identifier and the data concerning the one or more sensed characteristics; and

wherein the method is performed by at least one computer system comprising at least one memory and at least one processor coupled to the memory.

2. The method according to claim 1, wherein operatively connecting the one or more sensing elements with the user comprises at least one of contacting the one or more sensing elements with a body of the user and positioning the one or more sensing elements in the body of the user.

3. The method according to claim 1, wherein the one or more sensed characteristics comprise body characteristics of the user.

4. The method according to claim 1, wherein the at least one unique semiconductor identifier comprises an encrypted chip identifier.

5. The method according to claim 1, wherein the at least one of the plurality of unique biological identifiers comprises at least one of DNA, partial DNA, RNA, data derived from a body fluid, and unique body data.

6. The method according to claim 1, wherein the transmission of the at least one unique semiconductor identifier and the data concerning the one or more sensed characteristics to the data analytics engine is performed via the integration device.

7. The method according to claim 1, wherein analyzing the data concerning the one or more sensed characteristics comprises comparing the data concerning the one or more sensed characteristics to reference data, and determining whether the data concerning the one or more sensed characteristics falls outside of a range in the reference data.

8. The method according to claim 7, wherein the response comprises a real-time alert upon determining that the data concerning the one or more sensed characteristics falls outside of the range in the reference data.

9. The method according to claim 1, further comprising dynamically updating the at least one unique semiconductor identifier of the one or more sensing elements.

10. The method according to claim 1, wherein the data analytics engine comprises a cloud based data analytics engine.

11. The method according to claim 1, wherein the integration device comprises one of a smart phone and a smart tablet.

12. The method according to claim 1, further comprising:

verifying by the data analytics engine that the at least one unique semiconductor identifier corresponding to the integration device and the at least one biological identifier attached to the transmission of the request for data are valid; and

using trends in positioning system data associated with the user to verify that the request for data from the integration device is valid.

13. A system for providing data security, comprising:

a memory and at least one processor coupled to the memory, wherein the at least one processor is configured to;

receive data concerning one or more sensed characteristics of a user from one or more sensing elements operatively connected with the user, wherein each of the one or more sensing elements comprises at least one unique semiconductor identifier;

transmit the at least one unique semiconductor identifier of the one or more sensing elements and the data concerning the one or more sensed characteristics to a data analytics engine;

attach a plurality of unique biological identifiers associated with the user to the transmission of the at least one unique semiconductor identifier and the data concerning the one or more sensed characteristics;

verify that the at least one unique semiconductor identifier of the one or more sensing elements and at least one of the plurality of unique biological identifiers are valid;

analyze the data concerning the one or more sensed characteristics;

generate and transmit a response based on the analysis;

determine at least one activity associated with the user to be anomalous;

dynamically alter which of the plurality of unique biological identifiers are referenced when verifying validity of the at least one of the plurality of unique biological identifiers;

generate a request for data from an integration device associated with the user;

transmit the request for data from the integration device to the data analytics engine with at least one unique semiconductor identifier corresponding to the integration device; and

attach the at least one of the plurality of unique biological identifiers associated with the user to the transmission of the request for data so that the data analytics engine can verify the validity of the at least one of the plurality of unique biological identifiers upon receipt of the request for data;

wherein the dynamically altering is automatically performed in response to the determination that the at least one activity is anomalous and is performed without notice to the user during the transmission of the at least one unique semiconductor identifier and the data concerning the one or more sensed characteristics.

14. The system according to claim 13, wherein the at least one processor is further configured to dynamically update the at least one unique semiconductor identifier of the one or more sensing elements.

15. The system according to claim 13, wherein the at least one processor is further configured to:

verify that the at least one unique semiconductor identifier corresponding to the integration device and the at least one biological identifier attached to the transmission of the request for data are valid; and

use trends in positioning system data associated with the user to verify that the request for data from the integration device is valid.

16. The system according to claim 13, wherein in analyzing the data concerning the one or more sensed characteristics, the at least one processor is further configured to compare the data concerning the one or more sensed characteristics to reference data, and determine whether the data concerning the one or more sensed characteristics falls outside of a range in the reference data.

17. A computer program product for providing data security, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:

receiving data concerning one or more sensed characteristics of a user from one or more sensing elements operatively connected with the user, wherein each of the one or more sensing elements comprises at least one unique semiconductor identifier;

transmitting the at least one unique semiconductor identifier of the one or more sensing elements and the data concerning the one or more sensed characteristics to a data analytics engine;

attaching a plurality of unique biological identifiers associated with the user to the transmission of the at least one unique semiconductor identifier and the data concerning the one or more sensed characteristics;

verifying that the at least one unique semiconductor identifier of the one or more sensing elements and at least one of the plurality of unique biological identifiers are valid;

analyzing the data concerning the one or more sensed characteristics;

generating and transmitting a response based on the analysis;

determining at least one activity associated with the user to be anomalous;

dynamically altering which of the plurality of unique biological identifiers are referenced when verifying validity of the at least one of the plurality of unique biological identifiers;

generating a request for data from the integration device;

transmitting the request for data from the integration device to the data analytics engine with at least one unique semiconductor identifier corresponding to the integration device; and

attaching the at least one of the plurality of unique biological identifiers associated with the user to the transmission of the request for data so that the data analytics engine can verify the validity of the at least one of the plurality of unique biological identifiers upon receipt of the request for data;

wherein the dynamically altering is automatically performed in response to the determination that the at least one activity is anomalous and is performed without notice to the user during the transmission of the at least one unique semiconductor identifier and the data concerning the one or more sensed characteristics.

18. The computer program product of claim 17, wherein the program instructions executable by the processor cause the processor to perform the method further comprising dynamically updating the at least one unique semiconductor identifier of the one or more sensing elements.

19. The computer program product of claim 17, wherein the program instructions executable by the processor cause the processor to perform the method further comprising:

verifying that the at least one unique semiconductor identifier corresponding to the integration device and the at least one biological identifier attached to the transmission of the request for data are valid; and

using trends in positioning system data associated with the user to verify that the request for data from the integration device is valid.

20. The computer program product of claim 17, wherein analyzing the data concerning the one or more sensed characteristics comprises comparing the data concerning the one or more sensed characteristics to reference data, and determining whether the data concerning the one or more sensed characteristics falls outside of a range in the reference data.