PQuery: Achieving Privacy-Preserving Query with Communication Efficiency in Internet of Things

Internet of Things (IoT), as it can provide many promising IoT services to end users, has received considerable attention in recent years. However, IoT's security and privacy are still challenging today. In this paper, we propose a privacy-preserving query scheme, called PQuery, for fog computing-enhanced IoT. The proposed PQuery scheme is characterized by employing two privacy enhancing techniques, i.e., private information retrieval and oblivious transfer, to preserve the privacy for both the end user and the service provider in IoT query service. Though the computational cost is still high at the fog device, the communication overheads in PQuery can be greatly reduced between the fog device and the end user.