Analysis on Physical-Layer Security for Internet of Things in Ultra Dense Heterogeneous Networks

Concerning the importance of security and privacy for Internet of Things (IoT) in the future fifth-generation networks, this paper studies physical layer security for IoT in the multi-tier ultra dense heterogeneous networks (UDHNs), where macro-cells overlaid by ultra dense deployed small-cells. In this paper, the locations of the ultra dense deployed base stations are modeling by Poisson cluster processes. The loacations of IoT users and eavesdroppers are drawn from Poisson point processes. Then, the cumulative distribution functions of the receive signal-to-interference-plus-noise ratio for IoT users and eavesdroppers are derived, respectively. Moreover, the secrecy coverage probability for an arbitrary IoT user in a UDHN is investigated. Finally, the numerical results verify our analytical results and reveal the influence of various parameters, such as node density and targeted secrecy rate threshold, on secrecy performance.