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Hun-Yeong Kwon

Biographic Data

ID4154337
NAMEHun-Yeong Kwon
GIVEN NAMESHun-Yeong
FAMILY NAMEKwon
SIGNATUREKWON H
AFFILIATIONSKorea University
ORCID0000-0002-3311-3285
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS4
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Comparison of personal information de-identification policies and laws within the EU, the US, Japan, and South Korea

    Open Access•Moon-Ho Joo, MoonHo Joo et al.•ARTICLE•Government Information Quarterly•2023•Cited by: 1•References: 2

  • How to guarantee the right to use PSI in the age of open data

    Sang Pil Yoon, Sang-Pil Yoon et al.•ARTICLE•Information Polity•2019•References: 2

    With increasing importance of data, the interest in the availability of public sector information (PSI) has also increased. Because of its public attributes, PSI directly impacts the national administration as well as the lives of citizens. With the changing technological environment, the value of data is observed to change along with the manner in which data exist and the manner in which data are handled. Further, the usage of PSI should be easy…

  • De-identification policy and risk distribution framework for securing personal information

    Moon-Ho Joo, Sang-Pil Yoon et al.•ARTICLE•Information Polity•2018•Cited by: 3

    In the age of big data, many countries are implementing and establishing de-identification policies quite actively. There are many efforts to institutionalize de-identification of personal information to protect privacy and utilize the use of personal information. But even with such efforts, de-ide ntification policy always has a potential risk that de-identified information can be re-identified by being combined with other information. Therefore…

  • De-identification policy and risk distribution framework for securing personal information

    Moon-Ho Joo, Sang-Pil Yoon et al.•ARTICLE•Information Polity•2018•Cited by: 3

    In the age of big data, many countries are implementing and establishing de-identification policies quite actively. There are many efforts to institutionalize de-identification of personal information to protect privacy and utilize the use of personal information. But even with such efforts, de-ide ntification policy always has a potential risk that de-identified information can be re-identified by being combined with other information. Therefore…

  • Comparison of personal information de-identification policies and laws within the EU, the US, Japan, and South Korea

    Open Access•Moon-Ho Joo, MoonHo Joo et al.•ARTICLE•Government Information Quarterly•2023•Cited by: 1•References: 2

  • De-identification policy and risk distribution framework for securing personal information

    Moon-Ho Joo, Sang-Pil Yoon et al.•ARTICLE•Information Polity•2018•Cited by: 3

    In the age of big data, many countries are implementing and establishing de-identification policies quite actively. There are many efforts to institutionalize de-identification of personal information to protect privacy and utilize the use of personal information. But even with such efforts, de-ide ntification policy always has a potential risk that de-identified information can be re-identified by being combined with other information. Therefore…

  • How to guarantee the right to use PSI in the age of open data

    Sang Pil Yoon, Sang-Pil Yoon et al.•ARTICLE•Information Polity•2019•References: 2

    With increasing importance of data, the interest in the availability of public sector information (PSI) has also increased. Because of its public attributes, PSI directly impacts the national administration as well as the lives of citizens. With the changing technological environment, the value of data is observed to change along with the manner in which data exist and the manner in which data are handled. Further, the usage of PSI should be easy…

  • Comparison of personal information de-identification policies and laws within the EU, the US, Japan, and South Korea

    Open Access•Moon-Ho Joo, MoonHo Joo et al.•ARTICLE•Government Information Quarterly•2023•Cited by: 1•References: 2

Business (3 works) · Computer Science (3 works) · Privacy, Security, and Data Protection (3 works) · Computer security (2 works) · Identification (biology (2 works) · Personally identifiable information (2 works) · Political science (2 works) · Privacy-Preserving Technologies in Data (2 works) · Big data (1 work) · Data mining (1 work)

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