Quarterly journal published in SPbPU
and edited by prof. Dmitry 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
ANALYSIS AND PREDICTION OF STATES OF INDUSTRIAL NETWORKS WITH ADAPTIVE TOPOLOGY BASED ON NETWORK MOTIFS
E. Yu. Pavlenko Peter the Great St. Petersburg Polytechnic University
Annotation: An approach to investigating the states of complex industrial networks with adaptive topology using network motifs – statistically significant subgraphs of a larger graph – is proposed. The analysis presented addresses the ability of network motifs to characterize system performance and the possibility of their application to short-, medium-, and long-term prediction of system states. Using the Smart Grid network structure as an example, a directed graph is modeled, in which the most common motifs are searched, several attack scenarios on network nodes are simulated and a network state prediction is built. The results of experimental studies confirmed the correctness and validity of the application of this mathematical apparatus for the set tasks
Keywords: dynamic graph, network motive, target function, network with adaptive topology, forecasting
Pages 94–108