A Study on the Processing Method of pseudonym information considering the scope of data usage (데이터 사용 범위를 고려한 가명정보 처리방법 연구)

Youn-A Min (민연아)

doi:10.9708/jksci.2021.26.05.017

A Study on the Processing Method of pseudonym information considering the scope of data usage

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(5), pp.17-22
DOI : 10.9708/jksci.2021.26.05.017
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : March 11, 2021
Accepted : May 6, 2021
Published : May 31, 2021

Youn-A Min ¹

¹한양사이버대학교

Accredited

ABSTRACT

With the application of the Data 3 method, the scope of the use of pseudonym information has expanded. In the case of pseudonym information, a specific individual can be identified by linking and combining with various data, and personal information may be leaked due to incorrect use of the pseudonym information. In this paper, we propose the scope of use of data is subdivided and a differentiated pseudonym information processing method according to the scope. For the study, the formula was modified by using zero-knowledge proof among the pseudonym information processing methods, and when the proposed formula was applied, it was confirmed that the performance improved by an average of 10% in terms of verification time compared to the case of applying the formula of the existing zero-knowledge proof.

KEYWORDS

data de-identification, pseudonym information, zero knowledge proof

Citation status

* References for papers published after 2023 are currently being built.

[report] / 2020 / Annual Report on Personal Information Protection

[journal] Choi Ji-seon / 2019 / International Standardization Trends in Non-identification Processing / Journal of the Korea Information Security Society 29(4) : 13~18

[journal] 최광희 / 2020 / A Study on the Risk Calculation Method for Using Pseudonymized Information / 정보화연구 / 한국엔터프라이즈아키텍처학회 17(2) : 167~177

[report] Researchers of Korea Data Industry Promotion Agency / 2019 / 2019 Data Industry White Paper / Korea Data Industry Promotion Agency

[web] / 2020 / Personal Information Infringement Report Center Application Materials / https://privacy.kisa.or.kr/main.do

[web] / 2020 / Number of personal information infringement cases / http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1366

[journal] 전희주 / 2019 / Data Quality Measurement on a De-identified Data Set Based on Statistical Modeling / 한국콘텐츠학회 논문지 / 한국콘텐츠학회 19(5) : 553~561

[journal] 엄수현 / 2018 / BigData-based Trend of Personal Information De-idendification / 정보화연구 / 한국엔터프라이즈아키텍처학회 15(4) : 545~552

[journal] 노규성 / 2015 / A Study on Analysis of the Differences for Perception of Big Data in Era of Convergence / 디지털융복합연구 / 한국디지털정책학회 13(10) : 305~312

[journal] 양현철 / 2016 / The Effects of Applying De-identification of Personal Information on the Intention to use Big Data / 정보화연구 / 한국엔터프라이즈아키텍처학회 13(3) : 395~404

[journal] 김승환 / 2019 / Big Data Integration using Data De-identification / 한국지능시스템학회 논문지 / 한국지능시스템학회 29(3) : 235~241

[journal] Cha, S.-C. / 2019 / Privacy enhancing technologies in the internet of things: Perspectives and challenges / IEEE Internet of Things Journa 6(2) : 2159~2187

[other] Ministry of Government Administration and Home Affairs / 2016 / Guideline for non-identification measures for personal information-Guidelines for non-identification measures and support and management system

[thesis] Hongjin Kim / 2018 / A Scheme to authenticate and manage based on zero knowledge proof for IoT device on blockchain / Sogang University's Electronic Engineering

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on the Processing Method of pseudonym information considering the scope of data usage

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Study on the Processing Method of pseudonym information considering the scope of data usage

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.