English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 60696/93562 (65%)
造访人次 : 1046354      在线人数 : 21
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/121568

    题名: Examining Compliance with Personal Data Protection Regulations in Interorganizational Data Analysis
    作者: Li, Szu Chuang;Chen, Yi-Wen;Huang, Yennun
    关键词: personal data protection;privacy;federated learning;data deidentification
    日期: 2021-10-16
    上传时间: 2021-11-03 12:11:00 (UTC+8)
    出版者: MDPI
    摘要: The development of big data analysis technologies has changed how organizations work. Tech giants, such as Google and Facebook, are well positioned because they possess not only big data sets but also the in-house capability to analyze them. For small and medium-sized enterprises (SMEs), which have limited resources, capacity, and a relatively small collection of data, the ability to conduct data analysis collaboratively is key. Personal data protection regulations have become stricter due to incidents of private data being leaked, making it more difficult for SMEs to perform interorganizational data analysis. This problem can be resolved by anonymizing the data such that reidentifying an individual is no longer a concern or by deploying technical procedures that enable interorganizational data analysis without the exchange of actual data, such as data deidentification, data synthesis, and federated learning. Herein, we compared the technical options and their compliance with personal data protection regulations from several countries and regions. Using the EU’s GDPR (General Data Protection Regulation) as the main point of reference, technical studies, legislative studies, related regulations, and government-sponsored reports from various countries and regions were also reviewed. Alignment of the technical description with the government regulations and guidelines revealed that the solutions are compliant with the personal data protection regulations. Current regulations require “reasonable” privacy preservation efforts from data controllers; potential attackers are not assumed to be experts with knowledge of the target data set. This means that relevant requirements can be fulfilled without considerably sacrificing data utility. However, the potential existence of an extremely knowledgeable adversary when the stakes of data leakage are high still needs to be considered carefully.
    關聯: Sustainability 13(20), 11459
    DOI: 10.3390/su132011459
    显示于类别:[資訊傳播學系暨研究所] 期刊論文


    档案 描述 大小格式浏览次数



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈