Improving anomaly detection in SCADA network communication with attribute extension

Improving anomaly detection in SCADA network communication with attribute extension

Abstract Network anomaly detection for critical infrastructure supervisory control and data acquisition (SCADA) systems is the first line of defense against cyber-attacks. Often hybrid methods, such as machine learning with signature-based intrusion detection methods, are employed to improve the det...

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Bibliographic Details
Main Authors: Mahwish Anwar, Lars Lundberg, Anton Borg
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Energy Informatics
Subjects:
Supervisory control and data acquisition
Network intrusion detection
Machine learning
IEC 60870-5-104
Attribute extension
Online Access:https://doi.org/10.1186/s42162-022-00252-1

Internet

https://doi.org/10.1186/s42162-022-00252-1

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