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Cyber-security measures for protecting EPES systems in the 5G area

Authors: Lekidis, Alexios;

Cyber-security measures for protecting EPES systems in the 5G area

Abstract

The recent technological advance in the fifth generation of telecommunication networks (5G) has led to a evolutions in many domains, including connected cars, manufacturing and electricity. A technological domain that had large benefits from this advance is the Electrical Power and Energy System (EPES). Despite the simplicity and efficiency that 5G brings there are also underlying risks that are slowing down its adoption. These risks are caused by the presence of convergence connectivity interfaces in legacy infrastructures that were built with no security in mind. Specifically, EPES systems are often targeted by cyber criminals to cause massive blackouts in entire cities or countries that in turn lead to societal impact, such as consumer discomfort. In this work we propose a cyber-security measures for 1) early-stage detection of cyber-security incidents and 2) protecting against them through applicable security measures. The proposed measures are applied to a Hydroelectric Power Plant (HPP) of the Public Power Corporation (PPC). The cyber-attacks are performed in a 5G-enabled smart meter that measures power production and transmits measurements to PPC’s control center through the use of 5G Network Function Virtualization (NFV) technologies, such as network slicing. To protect against the attacks, cyber-security measures are applied and incorporated in a cyber-security platform, that was developed within the PHOENIX H2020 project. The measures are used to detect the attacks and perform necessary mitigation actions for restoring the HPP operation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%