Quarterly journal published in SPbPU
and edited by prof. Peter Zegzhda
Peter the Great St. Petersburg Polytechnic University
Institute of computer sciences and technologies
information security of computer systems
Information Security Problems. Computer Systems
Published since 1999.
ISSN 2071-8217
USING THE NEAT-HYPERCUBE MECHANISM FOR CYBERATTACK DETECTION IN IoT

A. D. Fatin, E. Yu. Pavlenko

Annotation: In this paper, we consider a method for detecting abnormal behavior in the operation of cyber-physical systems, the Internet of Things (IoT) and distributed control systems using the prediction and analysis of multidimensional time series using neuroevolutionary algorithms based on the development of the hypercube substrate. The method is based on identifying 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 are presented, demonstrating the correctness and accuracy of this approach.
Keywords: information security, cyber-physical systems, IoT, Hypercube, NEAT, neuroevolution, multivariate timeset.
Pages 109-116