A Privacy Preserving Model for Fog-enabled MCC systems using 5G Connection

Abstract

Privacy issues in Cloud Computing are one of the major concerns for many individuals and companies around the world, and still a challenge for research and industry. The appearance of the 5G technology and the latest advances in Mobile Cloud Computing gave way to fog-enabled systems that represent the future of current cloud systems. Accordingly, the Fog concept had been proposed in 2013 to enhance the IoT-Cloud operations in terms of latency and reliability. In this paper we analyze and categorize surveys addressing privacy issues of these complex systems, and propose PFMCC, a model for preserving Privacy in Fog-enabled Mobile Cloud Computing systems using 5G connection. The PFMCC model consists of three components interacting with each other to preserve data privacy, usage privacy, location privacy and high mobility. We also present three algorithms to perform privacy-aware computation offloading to the fog.