Secure Data Transmission in Cyber-Physical Systems Based on the New Approach for Stream Cipher’s Gamma Generation

Abstract

We suggested a new approach for secure gamma generation in stream ciphers with application to secure data transmission between components of cyber-physical systems (in terms of ensuring confidentiality). Secure gamma generation is based on using a new type of pseudo-random number generator (PRNG) with linear feedback shift registers (LFSR) and fuzzy logic. We used a nonlinear combination function based on fuzzy logic for selecting the best LSFR while generating the output. We adjusted some parameters of fuzzy PRNG (FPRNG) to get the best pseudo-random sequences (gamma), which are very close to white random noise. We also studied the structure of FPRNG to select the best design that better fits the requirements of good gamma generators with application to cyber-physical systems. We showed that the suggested approach allows generating gamma sequences with better quality than many others. It makes possible using this approach in new stream ciphers and applying them to ensure confidentiality of data transmission between different components of cyber-physical systems (CPS).