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Industrial Control System Anomaly Detection and Classification Based on Network Traffic
This paper proposes an anomaly detection and classification method for industrial control systems (ICSs). The proposed method is based on network traffic data of industrial field protocols like Modbus TCP and S7 Communication. First, the denoising autoencoder (DAE) is utilized to reduce data noise a...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2022-01-01
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| Colecção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/9758754/ |
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