论文标题

隐私日期:用于更多隐私时间戳数据类型的框架

PrivacyDates: A Framework for More Privacy-Preserving Timestamp Data Types

论文作者

Burkert, Christian, Balack, Jonathan, Federrath, Hannes

论文摘要

应用软件数据模型的案例研究表明,时间戳与用户活动相关。这与数据最小化的原则相矛盾,该原理要求限制给定目的所需的数据。先前的工作还确定了时间戳的共同用途,这些目的可以通过更具隐私权的替代方案(例如以目的为导向的精度)来实现的。在本文中,我们通过证明这些替代方案的现实适用性来跟进。我们为流行的Web开发框架Django设计和实施三个时间戳替代方案,并通过替换项目管理应用程序TAIGA中的常规时间戳来评估其实用性。我们发现可以在不损害Taiga功能的情况下采用我们的替代方案。

Case studies of application software data models indicate that timestamps are excessively used in connection with user activity. This contradicts the principle of data minimisation which demands a limitation to data necessary for a given purpose. Prior work has also identified common purposes of timestamps that can be realised by more privacy-preserving alternatives like counters and dates with purpose-oriented precision. In this paper, we follow up by demonstrating the real-world applicability of those alternatives. We design and implement three timestamp alternatives for the popular web development framework Django and evaluate their practicality by replacing conventional timestamps in the project management application Taiga. We find that our alternatives could be adopted without impairing the functionality of Taiga.

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