移动对象的位置跟踪与隐私权衡

Sara Steinel, Justin Chudley, Ryan Mendoza, Abdelrahman Elleithy
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引用次数: 0

摘要

物联网(IoT)和移动传感应用为现代世界带来了巨大的潜力,因为它们提高和改善了生活质量。然而,对于成为海量数据收集目标的人来说,这种技术存在安全和隐私风险。嵌入式传感器已经渗透到日常的个人设备中,通过追踪数据不断收集大量的数据。位置数据、搜索查询、偏好等都被记录下来。在本文中,我们调查了物联网技术和移动传感应用,讨论了隐私影响,并总结了目前提出的隐私问题解决方案。然后,我们提出了一个新的解决方案,代表了数据完整性和隐私之间的平衡。我们建议结合三项现有保安措施;密码学、数据混淆和访问控制机制。
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Location Tracking of Mobile Objects and the Privacy Tradeoff
The Internet of Things (IoT) and mobile sensing applications bring great potential to the modern world, as they enhance and improve quality of life. However, this technology possess security and privacy risks to people who become targets of massive data collection. Embedded sensors have infiltrated everyday personal devices, and large amounts of data are continuously collected through trace data. Location data, search queries, preferences, etc., are all being recorded. In this paper, we surveyed IoT technology and mobile sensing applications, discussed privacy implications, and summarized current proposed solutions to the privacy issue. We then proposed a new solution that represents a balance between data integrity and privacy. We proposed a combination of three existing security measures; cryptography, data obfuscation, and access control mechanisms.
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