评估和利用增强隐私的技术-一个数据空间的视角数据空间的角度
J M Auñón1, D Hurtado-Ramírez1, L Porras-Díaz1
1GMV, Department of Artificial Intelligence and Big Data, Isaac Newton 11, Tres Cantos, Madrid 28760, Spain.
Data in brief
|July 1, 2024
概括
增强隐私技术 (PETs) 能够为欧洲数据空间提供安全的数据共享. 本次审查评估了PET的相关性和成熟度,证明了使用联合学习在医疗保健中的好处.
科学领域:
- 数字化转型和数据经济
- 数据隐私和安全数据隐私和安全
- 欧洲数据政策 欧洲数据政策
背景情况:
- 社会的数字化依赖于数据共享,使得在线银行和医疗保健等服务可以获得.
- 担心失去数据控制和不愿意分享敏感的个人和专业信息的担忧阻碍了数据经济.
- 欧盟的欧洲数据战略旨在创建一个单一的数据市场,强调信任和公平.
研究的目的:
- 审查现有的增强隐私技术 (PET).
- 在欧洲共同数据空间的背景下,评估PET的相关性,技术成熟度和适用性.
- 为了说明安全数据共享使用联邦学习在隐私关键的医疗保健用例中所带来的好处.
主要方法:
- 对当前的增强隐私技术进行系统审查.
- 基于对欧洲数据空间的相关性,成熟度和适用性的PET的评估.
- 案例研究展示了联邦学习在医疗保健中安全共享数据.
主要成果:
- 识别和评估各种适合数据空间的PET.
- 证明PET能够平衡数据共享与隐私保护的能力.
- 在医疗保健场景中成功应用联合学习,确保隐私.
结论:
- 增强隐私的技术对于欧洲数据空间的成功至关重要.
- 联合学习为安全和私有数据共享提供了可行的解决方案,特别是在医疗保健等敏感领域.
- 持续开发和采用PET对于促进可信的数据经济至关重要.
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