Invariants of noise in cyber-physical systems components
Date
2017-12-03
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Politechnic Publishing House
Abstract
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. The dynamic
authentication algorithm has been developed, which
consists of choosing a range of time series, defining and
calculating invariants, making decisions about
authentication. The result of the operation of the algorithm
can be transferred to the executive mechanism, depending
on the practical problems in cyber-physical systems. Also
for the pseudorandom sequence of the embedded program
generator, the following values are predicted on the basis of
invariants. Estimated errors are calculated.
Description
Keywords
autocorrelation function, dynamic authentication, cyber-physical systems, chaotic time series, internal electrical noise signals
Citation
Nyemkova E. Invariants of noise in cyber-physical systems components / Elena Nyemkova // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2017. — Vol 2. — No 2. — P. 63–70.