Cyberattack detection on SWaT plant industrial control systems using machine learning

Detecting cyberattacks is critical for maintaining the security and integrity of industrial control systems (ICSs). This study introduces a machine learning approach for identifying cyberattacks on the Secure Water Treatment (SWaT) plant testbed. The dataset, sourced from the Singapore University of...

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Bibliographic Details
Main Authors: Shadi Jaradat, Md Mostafizur Komol, Mohammed Elhenawy, Naipeng Dong
Format: Article
Language:English
Published: ELS Publishing (ELSP) 2024-09-01
Series:Artificial Intelligence and Autonomous Systems
Subjects:
Online Access:https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/AIAS/2024/aias20240006.pdf
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