A social relationship-aware collaborative D2D secure caching strategy

Abstract

In response to the issue of wireless spectrum scarcity and secure transmission caused by frequent requests for short videos from a large number of devices within the network, this article proposes a social relationship-aware collaborative Device-to-Device (D2D) secure caching strategy. By thoroughly analyzing the physical and social characteristics of devices, a collaborative secure caching policy based on user social relationships is designed, aiming to enhance the willingness of end users to share, reduce network traffic loads, and decrease transmission latency. To maximize traffic offloading, users are divided into communities based on their physical-social attributes, grouping users with strong physical-social attributes in the same community to increase their sharing willingness. For users within the community, relay nodes are chosen for users according to the contribution of the cached content to the community, and personalized video content caching placement is further realized based on the video content popularity predicted by the collaborative filtering algorithm to meet user demands. Simulation results suggest that the proposed algorithm can improve traffic offloading and reduce transmission latency.