A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification

A Review of Research Works on Supervised Learning Algorithms for SCADA Intrusion Detection and Classification

Supervisory Control and Data Acquisition (SCADA) systems play a significant role in providing remote access, monitoring and control of critical infrastructures (CIs) which includes electrical power systems, water distribution systems, nuclear power plants, etc. The growing interconnectivity, standar...

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Bibliographic Details
Main Authors: Oyeniyi Akeem Alimi, Khmaies Ouahada, Adnan M. Abu-Mahfouz, Suvendi Rimer, Kuburat Oyeranti Adefemi Alimi
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
artificial neural network
classification
critical infrastructures
industrial control systems
intrusion detection
supervised learning
Online Access:https://www.mdpi.com/2071-1050/13/17/9597

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