解开阿里阿德涅的身份线索:健身追踪器和在线社交网络的隐私风险

Angeliki Aktypi, Jason R. C. Nurse, M. Goldsmith
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引用次数: 50

摘要

最近物联网(IoT)的扩展和健康生活方式的增长趋势,已经在我们的日常生活中使用了大量的健身追踪器。这些可穿戴物联网设备与个人在线社交网络(osn)的广泛使用相结合,引发了许多安全和隐私问题。个人用他们的身体表现和参加体育赛事来丰富他们在线帖子的内容,而不考虑这可能导致的貌似合理的风险。本文旨在研究用户的潜在暴露——由他们在网上分享的信息和由他们的身份跟踪器存储的个人数据引起的身份暴露。我们通过构建一个交互式工具来解决隐私问题。该工具对个人共享的在线信息进行建模,并详细说明他们可能如何暴露于不必要的进一步个人数据泄露。该工具还说明了人们暴露的信息所带来的隐私风险,这些信息可能被骗子、跟踪者和其他在线和网络犯罪分子等恶意方利用。为了了解用户在使用这些设备和在线服务时对自己身份暴露的意识程度,我们还进行了定性分析,并在这里展示了我们的结论。
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Unwinding Ariadne's Identity Thread: Privacy Risks with Fitness Trackers and Online Social Networks
The recent expansion of Internet of Things (IoT) and the grow- ing trends towards a healthier lifestyle, have been followed by a proliferation in the use of tness-trackers in our daily life. These wearable IoT devices combined with the extensive use by individu- als of Online Social Networks (OSNs) have raised many security and privacy concerns. Individuals enrich the content of their online posts with their physical performance and attendance at sporting events, without considering the plausible risks that this may result in. This paper aims to examine the potential exposure of users- identity that is caused by information that they share online and personal data that are stored by their tness-trackers. We approach the privacy concerns that arise by building an interactive tool. This tool models online information shared by individuals and elaborates on how they might be exposed to the unwanted leakage of further personal data. The tool also illustrates the privacy risks that arise from information that people expose, which could be exploited by malicious parties such as fraudsters, stalkers and other online and o ine criminals. To understand the level of users-awareness con- cerning their identity exposure when engaging with such devices and online services, we also have conducted a qualitative analysis and present our ndings here.
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Session details: Session 1: Privacy Proceedings of the 2017 on Multimedia Privacy and Security Session details: Session 4: Intrusion Detection and Prevention Session details: Session 3: Image and Video Security An NSF View of Multimedia Privacy and Security: Extended Abstract
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