走向实用的隐私保护协议

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Daniel Demmler
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引用次数: 1

摘要

摘要随着时间的推移,随着存储和交换的数据量稳步增长,以及系统越来越多地参与和连接,在数字系统中保护用户隐私变得更加复杂和具有挑战性。试图解决这一问题的两种技术是隐私保护协议——安全多方计算(MPC)和私有信息检索(PIR),它们旨在实现实际计算,同时保持敏感数据的私有性。论文[Daniel Demmler,“走向实用的隐私保护协议”,德国达姆施塔特工业大学,2018。网址:http://tuprints.ulb.tu-darmstadt.de/8605/],在本文中进行了总结,我们展示了如何以保护隐私的方式执行现实世界中的应用程序的结果。这不仅是此类应用程序的用户所希望的,而且自2018年以来,这也是基于欧盟GDPR的强大法律基础,GDPR通过设计强制保护用户数据的隐私。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards practical privacy-preserving protocols
Abstract Protecting users’ privacy in digital systems becomes more complex and challenging over time, as the amount of stored and exchanged data grows steadily and systems become increasingly involved and connected. Two techniques that try to approach this issue are the privacy-preserving protocols secure multi-party computation (MPC) and private information retrieval (PIR), which aim to enable practical computation while simultaneously keeping sensitive data private. In the dissertation [Daniel Demmler. “Towards Practical Privacy-Preserving Protocols”. Diss. Darmstadt: Technische Universität, 2018. url: http://tuprints.ulb.tu-darmstadt.de/8605/], summarized in this article, we present results showing how real-world applications can be executed in a privacy-preserving way. This is not only desired by users of such applications, but since 2018 also based on a strong legal foundation with the GDPR in the European Union, that enforces privacy protection of user data by design.
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来源期刊
IT-Information Technology
IT-Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.80
自引率
0.00%
发文量
29
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