Matching Theory-Based Cooperative Secure Transmission Strategy for Social-Aware D2D Communications

In this paper, we propose a cooperative secure transmission strategy, which integrates device's social attributes with its physical properties, to enhance the network secrecy performance. Specifically, we define the trust value for each D2D link such that the social relationship between devices and interactivity of the network can be well characterized. By constructing the social-aware utility functions for active D2D links as well as inactive devices that are currently without data transmission and thus can play as friendly jammers, we formulate the optimization problem aiming at maximizing the overall network sum utility. Then, we convert the original problem to the one-to-one matching game and develop the social relationship weighted matching algorithm to obtain the stable cooperative secure transmission strategy. Simulation results show that our proposed strategy can achieve higher average network secrecy rate as compared with existing schemes.