Compromised Secrecy Region with Adaptive Jamming for Heterogeneous Cellular Networks and Social Relationship Model

This work studies the security enhancement and social relationship model in heterogeneous D2D and cellular network with an adaptive jamming. Different from traditional physical layer securities that optimize secrecy capacity, we investigate strategies based on reduction of compromised secrecy region (CSR). Specifically, we firstly format the outage probability while taking fading channel effects into consideration and we build a novel social relationship model evaluated by social interactions and physical secrecy outage probability. Then three strategies for adaptive jamming are proposed to reduce CSR at various levels of channel states in the presence of joint cellular user and adaptive jammer beam-forming. Finally, numerical approximation and results validate the proposed CSR optimization strategies for joint artificial noise from cellular user and adaptive jammer and our scheme could reduce CSR efficiently.