Combating Eavesdropping with Resilient Multipath Transmission for Space/aerial-assisted IoT

Space/aerial-assisted internet of things (IoT) is promising to provide extensive coverage and heterogeneous network services. However, it also faces the risk of eavesdropping attacks due to the peculiarity of highly open transport. In this paper, we propose a combating eavesdropping solution with resilient multipath (CERM) for space/aerial-assisted IoT. Firstly, we analyze the dynamics of space/aerial-assisted IoT and build a betweenness centrality based eavesdropping probability model. Furthermore, we formulate multipath selection problem as an integer optimization by minimizing eavesdropping probability. Based on this, we propose a programmable CERM solution to flexibly schedule multipath traffic to reduce eavesdropping risk. Extensive experimental results verify the proposed CERM solution decreases eavesdropping probability as well as increases transmission throughput compared with the traditional single-path and Round-Robin multipath solutions.