• Title/Summary/Keyword: De-Identification Privacy by Design

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A Study on the Principle of Application of Privacy by Design According to the Life Cycle of Pseudonymization Information (가명정보 생명주기에 따른 개인정보보호 중심 설계 적용 원칙에 관한 연구)

  • Kim, Dong-hyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.2
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    • pp.329-339
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    • 2022
  • Recently, as personal information has been used as data, various new industries have been discovered, but cases of personal information leakage and misuse have occurred one after another due to insufficient systematic management system establishment. In addition, services that use personal information anonymously and anonymously have emerged since the enforcement of the Data 3 Act in August 2020, but personal information issues have arisen due to insufficient alias processing, safety measures for alias information processing, and insufficient hate expression. Therefore, this study proposed a new PbD principle that can be applied to the pseudonym information life cycle based on the Privacy by Design (PbD) principle proposed by Ann Cavoukian [1] of Canada to safely utilize personal information. In addition, the significance of the proposed method was confirmed through a survey of 30 experts related to personal information protection.

Design and Implementation of Automated Detection System of Personal Identification Information for Surgical Video De-Identification (수술 동영상의 비식별화를 위한 개인식별정보 자동 검출 시스템 설계 및 구현)

  • Cho, Youngtak;Ahn, Kiok
    • Convergence Security Journal
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    • v.19 no.5
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    • pp.75-84
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    • 2019
  • Recently, the value of video as an important data of medical information technology is increasing due to the feature of rich clinical information. On the other hand, video is also required to be de-identified as a medical image, but the existing methods are mainly specialized in the stereotyped data and still images, which makes it difficult to apply the existing methods to the video data. In this paper, we propose an automated system to index candidate elements of personal identification information on a frame basis to solve this problem. The proposed system performs indexing process using text and person detection after preprocessing by scene segmentation and color knowledge based method. The generated index information is provided as metadata according to the purpose of use. In order to verify the effectiveness of the proposed system, the indexing speed was measured using prototype implementation and real surgical video. As a result, the work speed was more than twice as fast as the playing time of the input video, and it was confirmed that the decision making was possible through the case of the production of surgical education contents.