Fairness-aware Subcarrier Allocation to Combat full duplex Eavesdropping and Jamming attacks in IoT

Abstract

To address the growing concern of security in advance communication networks like Internet of things (IoT), this work aims to propose an optimisation framework for fair subcarrier allocation to encounter a full duplex (FD) attacker. We first analyse the performance of secure communication in a multi-user IoT system against an FD hybrid attacker possessing the capability of concurrent eavesdropping and jamming. Specifically, a novel analytical expression has been derived for the exact intercept probability considering incomplete information of all ungoverned communication links that include self-interference link along with eavesdropping and jamming ones. The optimisation problem of subcarrier allocation is then formulated as an integer linear program. Finally, a low-complexity suboptimal solution is proposed to circumvent the need for high computational resources for finding the optimal solution to the problem in practice. Numerical results, validating the analytical framework, report the average improvement of more than 25% in secrecy performance over relevant benchmarks. This establishes that the proposed scheme has a potential to mitigate the secrecy outage efficiently for secure and reliable communication in IoT networks.