Privacy-Aware Data Offloading for Mobile Devices in Edge Computing

Abstract

To fulfill peoples requirements for low latency and strong computing power in mobile devices, edge computing emerges as a paradigm for realizing service provisioning in the edge of mobile cloud near the activity area of the mobile subscribers. Despite numerous advantages of edge computing, there is still a risk of leaking private user data, including identity information, address, etc., during the process of data offloading from mobile devices to edge nodes, which threatens personal and property security potentially. Therefore, it is of great importance of prohibiting privacy leakage for data offloading in edge computing. In repose to this requirement, a privacy-aware data offloading method (PDO) in edge computing is proposed in this paper. Technically, the privacy of the data offloading in edge computing is analyzed in a formalized way. Then, an improved of strength pareto evolutionary algorithm (SPEA2) is employed to realize joint optimization of the average time of transmission and the privacy entropy. Finally, experimental evaluations are conducted to verify reliability and efficiency of PDO.