An Approach to Detecting Cyber Attacks against Smart Power Grids Based on the Analysis of Network Traffic Self-Similarity

The paper discusses an approach for detecting cyber attacks against smart power supply networks, based on identifying anomalies in network traffic by assessing its self-similarity property. Methods for identifying long-term dependence in fractal Brownian motion and real network traffic of smart grid...

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Bibliographic Details

Published in:	Energies
Main Authors:	Igor Kotenko, Igor Saenko, Oleg Lauta, Aleksander Kribel
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Subjects:	cyber security smart grid anomaly detection cyber attacks time series fractal analysis
Online Access:	https://www.mdpi.com/1996-1073/13/19/5031