Detecting Flexible Partial Subcarrier Jamming for Mission-Critical Internet of Things Services

Due to the weak security protection capabilities of the low-cost and power limited IoT devices, active jamming attacks pose a serious threat to the Internet of Things (IoT) services by blocking the data transmission and forcing the IoT devices to repeatedly retry to transmit, especially in mission-critical IoT (MC-IoT) services which demands a higher standard of high reliability and low latency. In this paper, we consider a MC-IoT health monitoring system using multiple orthogonal subcarriers in the presence of an intelligent adversary with a flexible jamming strategy, who can selectively attack partial subcarrier in order to effectively use the jamming energy and reduce the risk of being detected. Inspired by the excellent identification capability of the gaussian mixture model, we propose a mixture component weights (MCW) based method to distinguish the jamming attack from the normal state for each subcarrier effectively, which does not rely on any attacker's information thanks to the match degree of the MCW-based feature with different beliefs. Numeric results evaluate and confirm the effectiveness of our detection method.