Развој на нов протокол за безбедна комуникација отпорна на шум кај индустриски вмрежени системи на автоматско управување

Abstract

The main goal of this dissertation is to increase the level of safety of industrial communication protocols. Thus, it shows the development of an algorithm which uses coupling functions for encryption and dynamical Bayesian inference for decryption of data. This algorithm is used to implement a communication protocol whose work is tested and verified in the presence of both white Gaussian and colored low frequency noise, and in practical experimental conditions. This results in data transfer which is both cryptographically secure and noise resistant, and thus capable of functioning in real life industrial environments with reduced transmission power levels and increased energy efficiency.