Physical layer security (PLS) solutions for passive eavesdropping in wireless communication

An absolute secured wireless communication is unattainable. Nevertheless, communication models must be secure and unique across each layer of the model. The physical layer is the easiest layer through which information leaks, due to its broadcast nature. The security in the physical layer, measured as secrecy capacity, is subdivided into keyed and keyless security models. In practice, the eavesdropper’s evasive and obscure random wireless channel model makes it difficult to optimise keyless security measure at the physical layer. Considering this practical challenge, the objective of this work is to use novel keyless approaches to reduce the ability of an illegitimate user to access the transmitted message via the physical layer. Physical layer security (PLS) was achieved through the deployment of unmanned aerial vehicles (UAV), intelligent reflecting surfaces (IRS), and communication sensing as security enablers in this thesis. The UAV operates with interfering signals while the IRS and sensing techniques optimise respective inherent properties leading to higher PLS performance. The thesis presents solutions to the parametric design of UAV, IRS, and wireless sensing technologies for PLS functionality. Designs and analysis herein follow from analytical derivations and numerical simulations. Specifically, the thesis presents a novel average secrecy rate formulation for passive eavesdropping with a reception rate upper bound by that of the legitimate receiver. The keyless PLS assessed from the formulations guaranteed positive rates with the design of a broadcast interfering signal delivered from a UAV. Based on the verification of the positive secrecy rate with passive eavesdropping, a swarm of UAVs improved the PLS of the communication system delivering more interfering signals. Furthermore, the functionalities of the interference driven UAV swarm were miniaturised with a system of aerial IRS. By harnessing inherent channel dynamics, a novel non-iterative design of the aerial IRS system was presented as a panacea to PLS requirements. Finally, the thesis presents the analysis of a legitimate receiver with a novel noise and interference filter as a sensing mitigation technique. The filter enhanced PLS by enabling the legitimate receiver to effectively extract desired information