Physical Layer Authentication Using Intelligent Reflective Surfaces

The Intelligent Reflective Surface (IRS) is one of the key technologies that will increase the coverage of cellular networks and enhance their performance at a low cost. Moreover, the IRS will improve the performance of the Channel-based Physical layer Authentication security mechanism. In this thesis, we propose an authentication scheme that takes advantage of the presence of the IRS in the IRS-assisted multiple input multiple output (MIMO) system to improve the security performance of the system. The proposed cascaded channel estimation authentication scheme has been developed and compared with a systematic channel estimation authentication scheme. We consider a non-line of sight communication between the transmitter and the receiver through the IRS. We will also demonstrate the efficiency of the proposed scheme by comparing it with one of the commonly used schemes. Moreover, we will formulate the optimal attack strategies to test the security of the proposed scheme. The performance of the proposed scheme is evaluated, and the numerical results show the merit of the proposed approach that can be adopted as a Physical layer authentication mechanism.