计算机科学
通用数据保护条例
软件可移植性
鉴定(生物学)
控制(管理)
1998年数据保护法
数据科学
个人可识别信息
信息隐私
计算机安全
人工智能
植物
生物
程序设计语言
作者
Junsik Sim,Beomjoong Kim,Kiseok Jeon,Moonho Joo,Jihun Lim,Junghee Lee,Kim‐Kwang Raymond Choo
摘要
There has been a trend of moving from simply de-identification to providing extended data control to their owner (e.g., data portability and right to be forgotten), partly due to the introduction of the General Data Protection Regulation (GDPR). Hence, in this paper, we survey the literature to provide an in-depth understanding of the existing approaches for personal data control (e.g., we observe that most existing approaches are generally designed to facilitate compliance), as well as the privacy regulations in Europe, United Kingdom, California, South Korea, and Japan. Based on the review, we identify the associated technical requirements, as well as a number of research gaps and potential future directions (e.g., the need for transparent processing of personal data and establishment of clear procedure in ensuring personal data control).
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