Privacy Preserving Profile Matching Protocol for Human-Centric Social Internet of Things

Abstract

The emergence of the Social Internet of Things (SIoT) paradigm brought new opportunities in terms of service provisioning and collaboration in distributed Internet of Things environments. However, while augmenting smart devices with more autonomy, this trend deepened the privacy hole of the Internet of Things (IoT). As a mitigation, we propose in this paper a SIoT profile matching framework allowing collaboration between devices interested in the same services. The services to be included in the SIoT profile are selected by the owner of the IoT devices. The profile is then published in a privacy preserving fashion. Since trust is critical in social networks, we propose a trust model fitting with the distributed nature of IoT interactions. This trust model is based on the decentralized trustless Blockchain concept. Security analysis and performance evaluation of our scheme showed a promising tradeoff between security and efficiency.