Abstract—
This paper considers a method for detecting abnormal behavior in cyber-physical systems, Internet of Things (IoT) systems, and distributed technological process automated control system ACS by predicting and analyzing of multidimensional time series by means of neuroevolutionary algorithms based on the development of the hypercube substrate. The method is based on the detection of deviations between the current values of the state of the cyber-physical system and the predicted results. The results of studies of the described method demonstrate the correctness and accuracy of its work.
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Funding
The study was carried out as part of a scholarship of the President of the Russian Federation to Young Scientists and Graduate Students SP-1689.2019.5.
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Translated by F. Baron
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Fatin, A.D., Pavlenko, E.Y. Using the Neat-Hypercube Mechanism to Detect Cyber Attacks on IoT Systems. Aut. Control Comp. Sci. 55, 1111–1114 (2021). https://doi.org/10.3103/S0146411621080101
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DOI: https://doi.org/10.3103/S0146411621080101