Review article
https://doi.org/10.51381/adrs.v3i1.42
Artificial Intelligence Techniques to Prevent Cyber Attacks on Smart Grids
Fabrizio Bertone
; LINKS Foundation
Francesco Lubrano
orcid.org/0000-0002-1198-600X
; LINKS Foundation
Klodiana Goga
; LINKS Foundation
Abstract
Energy is one of the main elements that allows society to maintain its living standards and continue as usual. For this reason, the energy distribution is both one of the most important and targeted by attacks Critical Infrastructure. Many of the other Critical Infrastructures rely on energy to work reliably. Some states are particularly interested in getting stealth access to -and take control of- energy production and distribution of other Nations. This way they can create huge disruption and get a significant advantage in case of conflict. In the recent past, we could observe some real-life demonstrations of this fact. The introduction of smart grids and ICT in the management of energy infrastructures has great benefits but also introduces new attack surfaces and ways for attackers to gain control. As a benefit, we can also collect more data and metrics to better understand the state of the grid. New techniques based on Artificial Intelligence and machine learning can take advantage of the available data to help the protection of the infrastructures and detect ongoing threats. Smart Meters which are connected intelligent devices spread over the grid and the geographical distribution of the population. For this reason, they can be very useful data collection assets but also a target for attack. In this paper, the authors consider and analyze various innovative techniques that can be used to enhance the security and reliability of Smart Grids.
Keywords
Hrčak ID:
249381
URI
Publication date:
17.11.2020.
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