Add-On Anomaly Threshold Technique for Improving Unsupervised Intrusion Detection on SCADA Data

Add-On Anomaly Threshold Technique for Improving Unsupervised Intrusion Detection on SCADA Data

Supervisory control and data acquisition (SCADA) systems monitor and supervise our daily infrastructure systems and industrial processes. Hence, the security of the information systems of critical infrastructures cannot be overstated. The effectiveness of unsupervised anomaly detection approaches is...

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Bibliographic Details
Main Authors: Abdulmohsen Almalawi, Adil Fahad, Zahir Tari, Asif Irshad Khan, Nouf Alzahrani, Sheikh Tahir Bakhsh, Madini O. Alassafi, Abdulrahman Alshdadi, Sana Qaiyum
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Electronics
Subjects:
SCADA security
intrusion detection
unsupervised learning
Industrial Internet of Things (IIoT)
information-security
security threats
Online Access:https://www.mdpi.com/2079-9292/9/6/1017

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https://www.mdpi.com/2079-9292/9/6/1017

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