A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

Attack detection problems in industrial control systems (ICSs) are commonly known as a network traffic monitoring scheme for detecting abnormal activities. However, a network-based intrusion detection system can be deceived by attackers that imitate the system’s normal activity. In this work, we pro...

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Bibliographic Details
Main Authors: Sohrab Mokhtari, Alireza Abbaspour, Kang K. Yen, Arman Sargolzaei
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
machine learning
industrial control systems
anomaly detection
fault detection
intrusion detection system
Online Access:https://www.mdpi.com/2079-9292/10/4/407

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