A fast physical layer security-based location privacy parameter recommendation algorithm in 5G IoT

Abstract

The 5G IoT (Internet of Things, IoT) is easier to implement in location privacy-preserving research. The terminals in distributed network architecture blur their accurate locations into a spatial cloaking region but most existing spatial cloaking algorithms cannot work well because of man-in-the-middle attacks, high communication overhead, time consumption, and the lower success rate. This paper proposes an algorithm that can recommend terminal's privacy requirements based on getting terminal distribution information in the neighborhood after cross-layer authentication and therefore help 5G IoT terminals find enough collaborative terminals safely and quickly. The approach shows it can avoid man-in-the-middle attacks and needs lower communication costs and less searching time than 520ms at the same time. It has a great anonymization success rate by 93% through extensive simulation experiments for a range of 5G IoT scenarios.