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A Review of Research Works On Supervised Learning Algorithms For SCADA by Liliana Galarza is a document available to read on EtoBox.

What is A Review of Research Works On Supervised Learning Algorithms For SCADA about?

This document reviews research on using supervised learning algorithms for intrusion detection and classification in SCADA systems. Supervisory Control and Data Acquisition (SCADA) systems are critical for infrastructure like power grids but have become more vulnerable to cyberattacks. Several studies have proposed supervised learning techniques like neural networks and support vector machines to detect and classify SCADA intrusions. The paper aims to analyze and compare these techniques to identify issues

Author

Liliana Galarza

Language

EN