Augmented Reality's Potential for Identifying and Mitigating Home Privacy Leaks

Augmented Reality's Potential for Identifying and Mitigating Home Privacy Leaks
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DOI:
10.14722/usec.2023.238930
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发表时间:
2023-01
期刊:
ArXiv
影响因子:
--
通讯作者:
Stefany Cruz;Logan Danek;Shinan Liu;Christopher Kraemer;Zixin Wang;N. Feamster;D. Huang;Yaxing Yao;Josiah D. Hester
Stefany Cruz;Logan Danek;Shinan Liu;Christopher Kraemer;Zixin Wang;N. Feamster;D. Huang;Yaxing Yao;Josiah D. Hester
中科院分区:
其他
文献类型:
--
作者:
Stefany Cruz;Logan Danek;Shinan Liu;Christopher Kraemer;Zixin Wang;N. Feamster;D. Huang;Yaxing Yao;Josiah D. Hester

文献摘要

相似文献

用户在智能家居中面临各种隐私风险,但他们了解这些风险的详细信息的方式有限,例如智能家居设备的数据实践及其数据流。在本文中,我们提出了隐私管道工,一个系统,使用户能够检查和探索的隐私“泄漏”在他们的家中使用增强现实工具。Privacy Plumber允许用户学习和理解离开家庭的数据量以及这些数据如何影响用户的隐私-在与相关设备相同的物理环境中,因为我们通过增强现实可视化隐私泄漏。Privacy Plumber使用阿普欺骗来收集聚合网络流量信息,并通过智能手机应用程序中设备顶部的覆盖层将其呈现。增加的透明度旨在帮助用户做出隐私决策并修补潜在的隐私泄露,例如指示Privacy Plumber阻止哪些设备,按什么时间表(即,我们对六名参与者的初步用户研究表明,参与者对智能设备中隐私泄露的意识有所提高,这进一步有助于他们的隐私决策(例如,要阻止哪些设备)。
Users face various privacy risks in smart homes, yet there are limited ways for them to learn about the details of such risks, such as the data practices of smart home devices and their data flow. In this paper, we present Privacy Plumber, a system that enables a user to inspect and explore the privacy"leaks"in their home using an augmented reality tool. Privacy Plumber allows the user to learn and understand the volume of data leaving the home and how that data may affect a user's privacy -- in the same physical context as the devices in question, because we visualize the privacy leaks with augmented reality. Privacy Plumber uses ARP spoofing to gather aggregate network traffic information and presents it through an overlay on top of the device in an smartphone app. The increased transparency aims to help the user make privacy decisions and mend potential privacy leaks, such as instruct Privacy Plumber on what devices to block, on what schedule (i.e., turn off Alexa when sleeping), etc. Our initial user study with six participants demonstrates participants' increased awareness of privacy leaks in smart devices, which further contributes to their privacy decisions (e.g., which devices to block).