Designing Privacy-Aware IoT Applications for Unregulated Domains

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

ACM Transactions on Internet of Things Pub Date : 2024-02-15 DOI:10.1145/3648480

Nada Alhirabi, Stephanie Beaumont, Omer F. Rana, Charith Perera

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Abstract

Internet of Things (IoT) applications (apps) are challenging to design because of the heterogeneous systems on which they are deployed. IoT devices and apps may collect and analyse sensitive personal data, which is often protected by data privacy laws, some within highly regulated domains such as healthcare. Privacy-by-design (PbD) schemes can be used by developers to consider data privacy at the design stage. However, software developers are not widely adopting these approaches due to difficulties in understanding and interpreting them. There are currently a limited number of tools available for developers to use in this context. We believe that a successful privacy-by-design tool should be able to (i) assist developers in addressing privacy requirements in less regulated domains, as well as (ii) help them learn about privacy as they use the tool. The findings of two controlled lab studies are presented, involving 42 developers. We discuss how such a PbD tool can help novice IoT developers comply with privacy laws (such as GDPR) and follow privacy guidelines (such as privacy patterns). Based on our findings, such tools can help raise awareness of data privacy requirements at design. This increases the likelihood that subsequent designs will be more aware of data privacy requirements.

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为不受监管的领域设计注重隐私的物联网应用

物联网（IoT）应用程序（Apps）的设计具有挑战性，因为它们部署在异构系统上。物联网设备和应用程序可能会收集和分析敏感的个人数据，这些数据通常受到数据隐私法的保护，有些数据还受到医疗保健等高度监管领域的保护。开发人员可采用 "隐私设计"（PbD）方案，在设计阶段就考虑数据隐私问题。然而，由于难以理解和解释这些方法，软件开发人员并未广泛采用这些方法。目前，可供开发人员在这种情况下使用的工具数量有限。我们认为，一个成功的隐私设计工具应该能够（i）帮助开发人员解决监管较少领域的隐私要求，以及（ii）帮助他们在使用工具的过程中学习隐私知识。本文介绍了两项实验室对照研究的结果，涉及 42 名开发人员。我们讨论了此类 PbD 工具如何帮助物联网新手开发人员遵守隐私法律（如 GDPR）并遵循隐私准则（如隐私模式）。根据我们的研究结果，此类工具有助于在设计时提高对数据隐私要求的认识。这就增加了后续设计更加了解数据隐私要求的可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACM Transactions on Internet of Things

CiteScore

5.20

自引率

3.70%

发文量