Using the Neat-Hypercube Mechanism to Detect Cyber Attacks on IoT Systems

摘要

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.