autocorrelation function

The problem of improving the reliability of cryptographic data protection in neural network systems with flexible configuration is considered. To ensure the possibility of encrypting/decrypting messages it is proposed to use combinatorial optimization methods for the tasks of forming encoded sequences with improved quality indicators for correcting ability, noise immunity, and autocorrelation properties.

The article is devoted to the invariant of internal electrical noise of electronic devices, which are components of cyber-physical systems. Time series of noise signals show chaotic behavior. Invariants are based on the autocorrelation function of dynamic time series. Insignificant differences on the micro-level devices lead to changes in the dynamics of time series. It is shown that the form of the autocorrelation function is unchanged for each electronic device of the cyber-physical system.