Intrusion Detection in Critical Infrastructures: A Literature Review
Panagiotis Fountas, Kouskouras Taxiarxchis, Kranas Georgios, Λέανδρος Μαγλαράς, Mohamed Amine Ferrag
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.
Topics & Concepts
DigitizationComputer scienceIntrusion detection systemComputer securityIntrusion prevention systemCritical infrastructureDiversity (politics)IntrusionData scienceArtificial intelligenceTelecommunicationsPolitical scienceGeochemistryGeologyLawNetwork Security and Intrusion DetectionAdvanced Malware Detection TechniquesSmart Grid Security and Resilience