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http://dx.doi.org/10.9708/jksci.2022.27.06.011

A study on the method of measuring the usefulness of De-Identified Information using Personal Information  

Kim, Dong-Hyun (Korea Internet & Security Agency)
Publication Information
Journal of the Korea Society of Computer and Information / v.27, no.6, 2022 , pp. 11-21 More about this Journal
Abstract
Although interest in de-identification measures for the safe use of personal information is growing at home and abroad, cases where de-identified information is re-identified through insufficient de-identification measures and inferences are occurring. In order to compensate for these problems and discover new technologies for de-identification measures, competitions to compete on the safety and usefulness of de-identified information are being held in Korea and Japan. This paper analyzes the safety and usefulness indicators used in these competitions, and proposes and verifies new indicators that can measure usefulness more efficiently. Although it was not possible to verify through a large population due to a significant shortage of experts in the fields of mathematics and statistics in the field of de-identification processing, very positive results could be derived for the necessity and validity of new indicators. In order to safely utilize the vast amount of public data in Korea as de-identified information, research on these usefulness metrics should be continuously conducted, and it is expected that more active research will proceed starting with this thesis.
Keywords
Big data; Personal Information; De-Identification; De-Identified Information usefulness measurement; De-Identified Information usefulness indicators;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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