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Intrusion Detection in Critical Infrastructures: A Literature Review

Panagiotis, Fountas; Taxiarxchis, Kouskouras; Georgios, Kranas; Maglaras, Leandros; Ferrag, Mohamed Amine


Fountas Panagiotis

Kouskouras Taxiarxchis

Kranas Georgios

Mohamed Amine Ferrag


Over the years, the digitization of all aspects of life in modern societies is considered an acquired advantage. However, like the terrestrial world, the digital world is not perfect and many dangers and threats are present. In the present work, we conduct a systematic review on the methods of network detection and cyber attacks that can take place in a critical infrastructure. As is shown, the implementation of a system that learns from the system behavior (machine learning), on multiple levels and spots any diversity, is one of the most effective solutions.

Journal Article Type Article
Acceptance Date Aug 25, 2021
Online Publication Date Aug 28, 2021
Publication Date 2021
Deposit Date Dec 20, 2022
Publicly Available Date Jan 4, 2023
Journal Smart Cities
Print ISSN 2624-6511
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 4
Issue 3
Pages 1146-1157
Keywords critical infrastructures; intrusion detection systems; digitization
Public URL


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