PSI - Physical Layer Security based on Machine Learning / funded by Philipp Schwartz-Initiative
We solve the drawbacks of the traditional approach of the security aspects of the new generation of wireless networks, i.e., Beyond 5G (B5G) and 6G systems through of developing a machine learning based scheme to enhance the physical layer security. The MAIN GOAL of this project is to develop an efficient and practical techniques, machine learning based schemes, that benefit from wireless channel opportunities and the advantages offered by mm waves, cognitive radio and related technologies such as Massive-MIMO and heterogeneous networks (HetNet) to enhance the security of wireless communications over B5G and 6G wireless networks. The proposed project is inter-discipline, where the interdisciplinary is necessitated by the nature of next generation architecture, which encompasses different network slices in heterogeneous environment.
Physical layer security (PLS) system model.