A Trusted and Privacy-Preserved Dispersed Computing Scheme for the Internet of Mobile Things

Abstract

Existing computing paradigms of the Internet of Mobile Things (IoMT) and social networks cannot effectively serve users due to their limited computing ability, dynamic mobile networks, weak connectivity, and high energy consumption and investment costs. Dispersed computing (DCOMP) is a promising way to solve the above issues. However, DCOMP is emergent, and few studies apply DCOMP to IoMT and social networks. Moreover, security problems also arise when introducing DCOMP to IoMT and social networks. In this paper, we propose a novel reference architecture to realize DCOMP in IoMT or social networks. We also propose two models—a trusted application discovery and acquisition model and a security domain-based computing offloading model—to enhance the security of the proposed architecture. The key idea of the first model is to use blockchain to construct a trusted application storage and acquisition system. This system guarantees that the tasks offloaded to dispersed devices are trusted. In the second model, we design two algorithms to offload tasks to appropriate dispersed devices to protect users’ privacy as much as possible. The experimental results prove the effectiveness of the proposed scheme.