Method and system for dynamic de-identification of data sets

Patent metadata

Field	Value
Publication number	US-9887964-B2
Application number	US-201514694262-A
Country	US
Kind code	B2
Filing date	Apr 23, 2015
Priority date	Apr 23, 2015
Publication date	Feb 6, 2018
Grant date	Feb 6, 2018

Abstract

A method for combining disparate data sets using dynamic de-identifiers includes: receiving a first data set from a first external entity, the data set including first data entries including attribute values, and wherein the first data set does not include any personally identifiable information; receiving a second data set from a second external entity, the data set including second data entries including attribute values, and wherein the second data set does not include any personally identifiable information; identifying a dynamic de-identifier (DDID) for each first data entry and second data entry; matching each second data entry to a first data entry based on a correspondence between the associated attribute values; identifying insights for at least one first data entry based on at least the attribute values included in the corresponding matched second data entry; and transmitting at least the identified insights to the first external entity.

First claim

What is claimed is:

1. A method for combining disparate data sets using dynamic de-identifiers, comprising:
receiving, by a receiving device of a processing system, a first data set from a first entity external to the processing system, wherein the first data set includes a plurality of first data entries, each first data entry including a plurality of attribute values and an associated identification key, and wherein the first data set does not include any personally identifiable information;
receiving, by the receiving device of the processing system, a second data set from a second entity external to the processing system, wherein the second data set includes a plurality of second data entries, each second data entry including a plurality of attribute values and an associated identification key, and wherein the second data set does not include any personally identifiable information;
identifying a dynamic de-identifier (DDID) for each identification key included in each first data entry in the first data set and each second data entry in the second data set, wherein the DDID is one of: (i) based on the corresponding identification key, or (ii) equivalent to the corresponding identification key;
matching, by a processing device of the processing system, each second data entry included the second data set to a first data entry included in the first data set based on a correspondence between the identified DDIDs corresponding to the respective associated identification keys and a measurement of commonality between the plurality of attribute values of each first data entry and the plurality of attribute values of each second data entry, wherein the matching is based on the measurement of commonality being higher than a threshold;
identifying, by the processing device of the processing system, one or more insights for at least one first data entry included in the first data set based on at least the plurality of attribute values included in the corresponding matched second data entry; and
transmitting, by a transmitting device of the processing system, at least the identified one or more insights to the first entity external to the processing system.

2. The method of claim 1 , wherein transmitting the identified one or more insights includes transmitting at least one of: the associated identification key and corresponding DDID for each of the at least one first data entry.

3. The method of claim 1 , wherein the identification of a DDID for each identification key is performed by the processing device of the processing system.

4. The method of claim 1 , wherein
the identification of a DDID for each identification key is performed by a first processing device of a first computing device of the processing system, and
the matching is performed by a second processing device of a second computing device of the processing system.

5. The method of claim 4 , wherein the second computing device does not receive or possess any identification keys.

6. The method of claim 4 , wherein the receiving device is included in the first computing device of the processing system.

7. The method of claim 4 , wherein the transmitting device is included in the first computing device of the processing system.

8. The method of claim 4 , wherein the first computing device does not possess any data associated with the matching step.

9. The method of claim 1 , wherein if the DDID is based on the corresponding identification key, the identification of a DDID for each identification key is performed upon receipt of the respective data set, and
wherein the processing system does not possess any identification keys.

10. The method of claim 1 , wherein each second data entry included in the second data set is matched to a plurality of first data entries included in the first data set based on the correspondence between the identified DDIDs corresponding to the respective associated identification keys.

11. A method for combining disparate data sets using dynamic de-identifiers, comprising:
receiving, by a receiving device of a processing system, a first data set from a first entity external to the processing system, wherein the first data set includes a plurality of first data entries, each first data entry including a plurality of attribute values, and wherein the first data set does not include any personally identifiable information;
receiving, by the receiving device of the processing system, a second data set from a second entity external to the processing system, wherein the second data set includes a plurality of second data entries, each second data entry including a plurality of attribute values, and wherein the second data set does not include any personally identifiable information;
identifying a dynamic de-identifier (DDID) for each first data entry in the first data set and each second data entry in the second data set;
matching, by a processing device of the processing system, each second data entry included in the second data set to a first data entry included in the first data set based on a measurement of commonality between one or more of the plurality of attribute values included in each first respective data entry and one or more of the plurality of attribute values included in each second data entry, wherein the matching is based on the measurement of commonality being higher than a threshold;
identifying, by the processing device of the processing system, one or more insights for at least one first data entry included in the first data set based on at least the plurality of attribute values included in the corresponding matched second data entry; and
transmitting, by a transmitting device of the processing system, at least the identified one or more insights to the first entity external to the processing system.

12. The method of claim 11 , transmitting the identified one or more insights includes transmitting the DDID associated with each of the at least one first data entry.

13. The method of claim 11 , wherein the identification of a DDID for each first data entry and each second data entry is performed by the processing device of the processing system.

14. The method of claim 11 , wherein
the identification of a DDID for each first data entry and each second data entry is performed by a first processing device of a first computing device of the processing system, and
the matching is performed by a second processing device of a second computing device of the processing system.

15. The method of claim 14 , wherein the second computing device does not receive or possess any DDIDs.

16. The method of claim 14 , wherein the receiving device is included in the first computing device of the processing system.

17. The method of claim 14 , wherein the transmitting device is included in the first computing device of the processing system.

18. The method of claim 14 , wherein the first computing device does not possess any data associated with the matching step.

19. The method of claim 11 , wherein each second data entry included in the second data set is matched to a plurality of first data entries included in the first data set based on the correspondence between one or more of the plurality of attribute values included in each respective data entry.

20. The method of claim 11 , wherein each first data entry included in the first data set further includes an associated identification key.

21. The method of claim 20 , wherein the identified DDID for each first data entry in the first data set is based on the

Assignees

• Mastercard International Inc

Inventors

• Lowenberg Todd
• Villars Curtis
• Reiskind Andrew

Classifications

• H04L63/0421 Primary

  Anonymous communication, i.e. the party's identifiers are hidden from the other party or parties, e.g. using an anonymizer · CPC title