Analysis of Machine Learning Methods in EtherCAT-Based Anomaly Detection

Analysis of Machine Learning Methods in EtherCAT-Based Anomaly Detection

Today, the use of Ethernet-based protocols in industrial control systems (ICS) communications has led to the emergence of attacks based on information technology (IT) on supervisory control and data acquisition systems. In addition, the familiarity of Ethernet and TCP/IP protocols and the diversity...

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Bibliographic Details
Main Authors: Kevser Ovaz Akpinar, Ibrahim Ozcelik
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Anomaly detection
EtherCAT security
ICS security
machine learning for EtherCAT
Online Access:https://ieeexplore.ieee.org/document/8936397/

Internet

https://ieeexplore.ieee.org/document/8936397/

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