IoT is envisioned as the next stage of the information revolution, enabling various daily applications and providing better service by conducting a deep fusion with cloud and fog computing. As the key mission of most IoT applications, data management, especially the fundamental function-data query, has long been plagued by severe security and privacy problems. Most query service providers, including the big ones (e.g., Google, Facebook, Amazon, and so on) are suffering from intensive attacks launched by insiders or outsiders. As a consequence, processing various queries in IoT without compromising the data and query privacy is an urgent and challenging issue. In this article, we propose a thing-fog-cloud architecture for secure query processing based on well studied classical paradigms. Following with a description of crucial technical challenges in terms of functionality, privacy and efficiency assurance, we survey the latest milestone-like approaches, and provide an insight into the advantages and limitations of each scheme. Based on the recent advances, we also discuss future research opportunities to motivate efforts to develop practical private query protocols in IoT.

中文翻译：

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物联网查询与隐私保护：挑战、解决方案和机遇


物联网被视为信息革命的下一阶段，通过与云、雾计算的深度融合，赋能各种日常应用，提供更好的服务。数据管理作为大多数物联网应用的关键任务，尤其是基础功能——数据查询，长期以来一直受到严重的安全和隐私问题的困扰。大多数查询服务提供商，包括大型提供商（例如 Google、Facebook、Amazon 等）都遭受着内部或外部发起的密集攻击。因此，在不损害数据和查询隐私的情况下处理物联网中的各种查询是一个紧迫且具有挑战性的问题。在本文中，我们基于充分研究的经典范例，提出了一种用于安全查询处理的物雾云架构。接下来描述了功能、隐私和效率保证方面的关键技术挑战，我们调查了最新的里程碑式的方法，并深入了解了每种方案的优点和局限性。基于最近的进展，我们还讨论了未来的研究机会，以激励开发物联网中实用的私有查询协议。