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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
SpringerOpen
2022-12-01
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| Colección: | Energy Informatics |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1186/s42162-022-00252-1 |
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