Performance Trade-offs in IoT Uplink Networks under Secrecy Constraints

We investigate the performance of Internet-ofThings (IoT) networks under passive attacks from eavesdroppers capable of monitoring individual links. An IoT network with multiple sensor classes is studied where every sensor class has a local access point (LAP) which are connected to one or more small cell base-station access points (SAP) which in turn are connected to a central cloud access point (CAP). The CAP interfaces the IoT network to the Cloud Radio Access Network which serves the users who request sensor readings. We propose a unique attack resilient IoT sensor reporting model based on IoT traffic characteristics and study the performance of this system under strict latency and secrecy constraints.