Speaker
Description
This contribution presents an enhanced approach to secure communications using multiple inverse systems to design alpha-stable noise based Random communication systems (RCSs). This method incorporates multiple inverse systems to transform the encoded alpha stable noise signals on the transmitter side with corresponding inverse systems on the receiver side to decode the retrieved signals received from the AWGN channel. This modification enhances the RCS efficiency with respect to Bit Error Rate (BER) and covertness value. By distributing the encoding and decoding processes across multiple systems along with other hidden benefits of alpha stable noise, the proposed RCS increases the complexity for potential eavesdroppers, making it extremely unvulnerable to intercept. Simulation results demonstrate that the use of multiple inverse systems provides superior BER performance compared to previous models, while the covertness analysis indicates a marked improvement in the security of the system. These findings suggest that the multi-inverse system design holds promise for enhancing the physical layer security of next-generation communication systems.
