IP Library Granted Patent US 11,816,245
Granted Patent B2
US 11,816,245 · App. 16/845,454 · Granted Nov 14, 2023

Method for analysis on interim result data of de-identification procedure, apparatus for the same, computer program for the same, and recording medium storing computer program thereof

Inventors: Gi Tae Kim (Seoul, KR); Sung Wook Jo (Bucheon, KR); Myeong Sik Hwang (Seoul, KR)
Assignee: FASOO CO., LTD.
G06F21/6254G06F9/3836
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Quick Facts
Patent No.
US 11,816,245
App. No.
16/845,454
Granted
Nov 14, 2023
Kind
B2
Abstract

The present disclosure relates to a method for analysis on interim result data in a de-identification procedure, an apparatus for the same, a computer program for the same, and a recording medium storing computer program thereof. A method for de-identification according to an example of the present disclosure may include: generating a first interim result data by applying a first de-identification process to an initial data; generating a first analysis metric for the first interim result data; and generating a final result data based on the first interim result data, when the first analysis metric satisfies a first de-identification criterion.

Claims (41)

1. A method for de-identification for data, the method comprising:

receiving, through a transceiver, an initial data and storing the initial data in a memory;

applying, by a processor, a first de-identification process to the initial data to obtain first interim result data;

obtaining and outputting, by the processor, final result data based on a part of data subsets included in the first interim result data, when first analysis metric for the first interim result data satisfies a first de-identification criterion, thereby reducing time or resources to output the final result data;

applying, by the processor, a second de-identification process to the first interim result data, when a first analysis metric for the first interim result data does not satisfy the first de-identification criterion to obtain second interim result data; and

obtaining and outputting, by the processor, final result data based on a part of data subsets included in the second interim result data, when a second analysis metric for the second interim result data satisfies a second de-identification criterion, thereby reducing time or resources to output the final result data,

wherein the first interim result data includes the initial data and a result of the first de-identification process, and the result of the first de-identification process is accumulated on the initial data,

wherein the second interim result data includes initial data, the result of the first de-identification process, and a result of the second de-identification process, and the result of the second de-identification process is accumulated on the first interim result data.

2. The method according to claim 1 , wherein:

the first analysis metric is obtained based on a part of all of data subsets included in the first interim result data; and

the second analysis metric is obtained based on a part of all of data subsets included in the second interim result data.

3. The method according to claim 1 , wherein:

the first de-identification process corresponds to a first type de-identification process; and

the second de-identification process corresponds to a second type de-identification process.

4. The method according to claim 3 , further comprising:

applying, to the first interim result data or the first interim result data, at least one additional de-identification process corresponding to the first type de-identification process or the second type de-identification process to obtain an additional interim result data, when the first analysis metric does not satisfy the first de-identification criterion or the second analysis metric does not satisfy the second de-identification criterion; and

obtaining and outputting final result data based on a part of data subsets included in the additional interim result data, when an additional analysis metric for the additional interim result data satisfies an additional de-identification criterion, thereby reducing time or resources to output the final result data.

5. The method according to claim 3 , wherein:

the first type de-identification process includes at least one de-identification process applied before or after the second type de-identification process; and

the second type de-identification process includes at least one de-identification process of applying a predetermined privacy protection model.

6. The method according to claim 1 , wherein:

the first analysis metric includes standardized measurement data applicable to a result of the first de-identification process; and

the second analysis metric includes standardized measurement data applicable to a result of the second de-identification process.

7. An apparatus for de-identification for data, the apparatus comprising:

a transceiver;

a memory;

a user interface; and

a processor,

wherein the processor is configured to:

receive an initial data through the transceiver;

store the initial data in the memory;

apply a first de-identification process to the initial data to obtain first interim result data;

obtain and to output final result data based on a part of data subsets included in the first interim result data, when first analysis metric for the first interim result data satisfies a first de-identification criterion, thereby reducing time or resources to output the final result data;

apply a second de-identification process to the first interim result data, when a first analysis metric for the first interim result data does not satisfy the first de-identification criterion to obtain second interim result data; and

obtain and to output final result data based on a part of data subsets included in the second interim result data, when a second analysis metric for the second interim result data satisfies a second de-identification criterion, thereby reducing time or resources to output the final result data,

wherein the first interim result data includes the initial data and a result of the first de-identification process, the result of the first de-identification process is accumulated on the initial data, and

wherein the second interim result data includes initial data, the result of the first de-identification process, and a result of the second de-identification process, and the result of the second de-identification process is accumulated on the first interim result data.

8. A non-transitory computer-readable storing medium storing a computer program for executing a method at a computer according to claim 1 .

9. The method according to claim 3 , wherein:

the first type de-identification process includes at least one of data value deletion, pseudonymization, totalization, categorization, or data masking; and

the second type de-identification process includes applying at least one privacy protection model of K-anonymity, L-diversity, or T-closeness.

Assignments (2)
CHANGE OF NAME Recorded Feb 5, 2021
From: FASOO.COM INC.
To: FASOO CO., LTD
Reel/Frame 055237/0697 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 10, 2020
From: KIM, GI TAE; JO, SUNG WOOK; HWANG, MYEONG SIK
To: FASOO.COM INC.
Reel/Frame 052372/0948 →
Priority Claims (1)
KR 10-2019-0043712 · Apr 15, 2019 · national
Continuity (1)
Related Publication 20200327253A1 · Oct 15, 2020