준식別子

준식別子 (準識別子, quasi-identifiers)는 固有識別子 가 아닌 情報를 말하지만 固有識別者를 만들기 위해 다른 준식별者들과 結合할 수 있는 엔티티와 充分히 相互關聯되어 있다. ^[1]

그러므로 준식別子는 結合時個人識別情報 가 된다. 이 프로세스는 再識別 (re-identification)이라고 부른다. 한 例로, Latanya Sweeney는 社會的性 , 生日 , 郵便番號中 하나만 가지고서는 어느 것도 固有하게 個人을 識別하지 못하더라도 이 셋을 結合하면 美國內個人의 87%를 識別하기에 充分하다는 것을 證明하였다. ^[2]

이 用語는 1986年 Tore Dalenius에 依해 導入되었다. ^[3] 그 以後로 준식別子는 公開된 데이터의 여러 攻擊의 基礎가 되어왔다. 이를테면 Sweeney는 健康記錄을 公開情報와 連結시켜 固有하게 識別되는 준식別者를 使用하는 메사추세츠주의 病院記錄의 當時運營委員을 識別했으며 ^[4]^[5] Sweeney, Abu, Winn은 個人 게놈 프로젝트의 患者를 再識別하기 위해 有權者의 公開記錄을 使用하였다. ^[6] 게다가 Arvind Narayanan과 Vitaly Shmatikov는 넷플릭스가 公開한 非匿名 데이터의 統計條件을 識別하는 데 對해 준식別子에 關해 論하였다. ^[7]

같이 보기 [ 編輯 ]

非識別化

各州 [ 編輯 ]

↑ “Glossary of Statistical Terms: Quasi-identifier” . OECD. 2005年 11月 10日 . 2013年 9月 29日에 確認함 .
↑ Sweeney, Latanya. Simple demographics often identify people uniquely . Carnegie Mellon University, 2000. http://dataprivacylab.org/projects/identifiability/paper1.pdf
↑ Dalenius, Tore. Finding a Needle In a Haystack or Identifying Anonymous Census Records . Journal of Official Statistics, Vol.2, No.3, 1986. pp. 329?336. http://www.jos.nu/Articles/abstract.asp?article=23329 Archived 2017年 8月 8日 - 웨이백 머신
↑ Anderson, Nate. Anonymized data really isn’t?and here’s why not . Ars Technica, 2009. https://arstechnica.com/tech-policy/2009/09/your-secrets-live-online-in-databases-of-ruin/
↑ Barth-Jones, Daniel C. The're-identification'of Governor William Weld's medical information: a critical re-examination of health data identification risks and privacy protections, then and now. Then and Now (June 4, 2012) (2012).
↑ Sweeney, Latanya, Akua Abu, and Julia Winn. "Identifying participants in the personal genome project by name." Available at SSRN 2257732 (2013).
↑ Narayanan, Arvind and Shmatikov, Vitaly. Robust De-anonymization of Large Sparse Datasets . The University of Texas at Austin, 2008. https://www.cs.utexas.edu/~shmat/shmat_oak08netflix.pdf

[1] “Glossary of Statistical Terms: Quasi-identifier” . OECD. 2005年 11月 10日 . 2013年 9月 29日에 確認함 .

[2] Sweeney, Latanya. Simple demographics often identify people uniquely . Carnegie Mellon University, 2000. http://dataprivacylab.org/projects/identifiability/paper1.pdf

[3] Dalenius, Tore. Finding a Needle In a Haystack or Identifying Anonymous Census Records . Journal of Official Statistics, Vol.2, No.3, 1986. pp. 329?336. http://www.jos.nu/Articles/abstract.asp?article=23329 Archived 2017年 8月 8日 - 웨이백 머신

[4] Anderson, Nate. Anonymized data really isn’t?and here’s why not . Ars Technica, 2009. https://arstechnica.com/tech-policy/2009/09/your-secrets-live-online-in-databases-of-ruin/

[5] Barth-Jones, Daniel C. The're-identification'of Governor William Weld's medical information: a critical re-examination of health data identification risks and privacy protections, then and now. Then and Now (June 4, 2012) (2012).

[6] Sweeney, Latanya, Akua Abu, and Julia Winn. "Identifying participants in the personal genome project by name." Available at SSRN 2257732 (2013).

[7] Narayanan, Arvind and Shmatikov, Vitaly. Robust De-anonymization of Large Sparse Datasets . The University of Texas at Austin, 2008. https://www.cs.utexas.edu/~shmat/shmat_oak08netflix.pdf

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