Enhancement of Security in GFDM Using Ebola-Optimized Joint Secure Compressive Sensing Encryption and Symbol Scrambling Model.

The security of data transmission over the Passive Optical Network (PON) is a very challenging task. In this research work, joint secure compressive sensing encryption and symbol scrambling method is introduced in the Generalized Frequency Division Multiplexing (GFDM) systems to overcome this problem. After compression, CS data is converted into Binary Phase Shift Keying (BPSK) symbols, the SHA-256 technique is used for key generation purposes, and the key selection process is performed to improve the high security of the proposed system. Ebola meta-heuristic scheme is proposed for the optimal key selection process. The maximum Peak-To-Signal Noise Ratio (PSNR) value is the Objective Function (OF) of this proposed key selection to choose the optimal secret key from the random numbers. Finally, the symbol scrambling function is performed on the resulting BPSK symbols to improve the security of the CS data. The performance of this proposed system is compared with some of the existing methods The achieved values of the proposed GFDM-PON for PSNR, MSE, Entropy, encryption time, and decryption time are 57.86319, 0.004114, 9.495201, 0.054, and 0.048, respectively.