Privacy is an increasing concern of mobile Internet users as both research and real-world incidents show that leaking of communication and location privacy can lead to severe consequences. Therefore much research has been done to anonymize individual users from aggregated location data. However, just the communication itself between a mobile user and their peers or website could collect considerable privacy of the mobile user, such as location history, to other parties. In this paper, we investigated the potential privacy risk of mobile Internet users, including the Internet of Things. We proposed a scalable system built on top of public cloud services that can hide a mobile user’s network location and traffic from communication peers. This system creates a dynamic distributed proxy network for each mobile user to minimize performance overhead and operation costs.

中文翻译：

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具有多路访问边缘计算的互联网网络位置隐私保护

隐私是移动互联网用户越来越关注的问题，因为研究和现实世界的事件都表明，通信和位置隐私的泄露会导致严重的后果。因此，已经进行了大量研究以从聚合的位置数据中匿名化个人用户。然而，仅移动用户与其同行或网站之间的通信本身就可以向其他方收集移动用户的大量隐私，例如位置历史记录。在本文中，我们调查了包括物联网在内的移动互联网用户的潜在隐私风险。我们提出了一个建立在公共云服务之上的可扩展系统，可以向通信对等方隐藏移动用户的网络位置和流量。