Intrusion Detection in Critical Infrastructures: A Literature Review

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

Abstract

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.

Citation

Panagiotis, F., Taxiarxchis, K., Georgios, K., Maglaras, L., & Ferrag, M. A. (2021). Intrusion Detection in Critical Infrastructures: A Literature Review. Smart Cities, 4(3), 1146-1157. https://doi.org/10.3390/smartcities4030061

• 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
• DOI: https://doi.org/10.3390/smartcities4030061
• Keywords: critical infrastructures; intrusion detection systems; digitization
• Public URL: http://researchrepository.napier.ac.uk/Output/2969340