论文标题

面向应用程序的隐私技术选择

Application-Oriented Selection of Privacy Enhancing Technologies

论文作者

Kunz, Immanuel, Binder, Andreas

论文摘要

为了创建对隐私友好的软件设计,建筑师需要全面了解现有的隐私增强技术(PET)及其属性。但是,系统化宠物的现有作品已过时或专注于比较标准,而不是为其实际选择提供指导。在这篇简短的论文中,我们提出了比以前的建议更加面向应用程序的宠物分类。它整合了诸如隐私保护目标之类的现有标准,还考虑了实用标准,例如功能环境,技术的成熟度及其对各种非功能性要求的影响。我们希望我们的分类简化了专家和非专家的宠物选择。

To create privacy-friendly software designs, architects need comprehensive knowledge of existing privacy-enhancing technologies (PETs) and their properties. Existing works that systemize PETs, however, are outdated or focus on comparison criteria rather than providing guidance for their practical selection. In this short paper we present an enhanced classification of PETs that is more application-oriented than previous proposals. It integrates existing criteria like the privacy protection goal, and also considers practical criteria like the functional context, a technology's maturity, and its impact on various non-functional requirements. We expect that our classification simplifies the selection of PETs for experts and non-experts.

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