IP Library › Granted Patent US 12,579,309
Granted Patent B2
US 12,579,309 · App. 18/408,767 · Granted Mar 17, 2026

Anonymization apparatus

Inventor: Ryo Furukawa (Tokyo, JP)
Assignee: NEC CORPORATION
G06F21/6254
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Quick Facts
Patent No.
US 12,579,309
App. No.
18/408,767
Granted
Mar 17, 2026
Kind
B2
Abstract

An anonymization apparatus includes: an acquiring unit that acquires boundary information indicating the boundary between clusters, specified by performing an anonymization process on predetermined data; and a dividing unit that generates an anonymized cluster set by dividing data possessed by the anonymization apparatus into a plurality of clusters based on the boundary information acquired by the acquiring unit.

Claims (21)

1 . An anonymization apparatus comprising:

at least one memory configured to store instructions; and

at least one processor configured to execute the instructions to:

acquire boundary information indicating a boundary between clusters obtained by dividing data with consent for disclosure, specified by performing an anonymization process on the data with the consent; and

generate an anonymized cluster set from data possessed by the anonymization apparatus by dividing the data possessed by the anonymization apparatus including data without consent for disclosure into a plurality of clusters based on the acquired boundary information.

2 . The anonymization apparatus according to claim 1 , wherein the at least one processor is configured to execute the instructions to

integrate or delete a cluster satisfying a predetermined condition among the clusters included by the anonymized cluster set obtained by the dividing.

3 . The anonymization apparatus according to claim 2 , wherein the at least one processor is configured to execute the instructions to

integrate or delete the cluster based on a number of data in the cluster.

4 . The anonymization apparatus according to claim 2 , wherein:

the data includes a common quasi-identifier possessed by a plurality of organizations in common and a unique quasi-identifier; and

the at least one processor is configured to execute the instructions to integrate the cluster based on a parameter calculated by giving different weights to the common quasi-identifier and the unique quasi-identifier.

5 . The anonymization apparatus according to claim 4 , wherein the at least one processor is configured to execute the instructions to

integrate the cluster based on the parameter calculated by giving a greater weight to the common quasi-identifier than to the unique quasi-identifier.

6 . The anonymization apparatus according to claim 1 , wherein the at least one processor is configured to execute the instructions to

acquire the boundary information indicating the boundary between the clusters, specified by performing the anonymization process on a result of merging the data acquired from a plurality of organizations.

7 . The anonymization apparatus according to claim 1 , wherein the at least one processor is configured to execute the instructions to

acquire the boundary information indicating the boundary between the clusters, specified by performing the anonymization process on data including at least part of the data possessed by the anonymization apparatus.

8 . An anonymization method by an information processing apparatus, the method comprising:

acquiring boundary information indicating a boundary between clusters obtained by dividing data with consent for disclosure, specified by performing an anonymization process on the data with the consent; and

generating an anonymized cluster set from data possessed by an anonymization apparatus by dividing the data possessed by the anonymization apparatus including data without consent for disclosure into a plurality of clusters based on the acquired boundary information.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 10, 2024
From: FURUKAWA, RYO
To: NEC CORPORATION
Reel/Frame 066078/0568 →
Priority Claims (1)
JP 2023-006804 · Jan 19, 2023 · national
Continuity (1)
Related Publication 20240249024A1 · Jul 25, 2024
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