Using Ensemble Learning for Anomaly Detection in Cyber–Physical Systems
The swift embrace of Industry 4.0 paradigms has led to the growing convergence of Information Technology (IT) networks and Operational Technology (OT) networks. Traditionally isolated on air-gapped and fully trusted networks, OT networks are now becoming more interconnected with IT networks due to t...
Main Authors: | Nicholas Jeffrey, Qing Tan, José R. Villar |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-04-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/13/7/1391 |
Similar Items
-
A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems
by: Nicholas Jeffrey, et al.
Published: (2023-07-01) -
An ensemble deep learning model for cyber threat hunting in industrial internet of things
by: Abbas Yazdinejad, et al.
Published: (2023-02-01) -
A Digital Twin Case Study on Automotive Production Line
by: Arif Furkan Mendi
Published: (2022-09-01) -
Bell-X, An Opportunistic Time Synchronization Mechanism for Scheduled Wireless Sensor Networks
by: Jose Vera-Pérez, et al.
Published: (2019-09-01) -
A Joining Procedure and Synchronization for TSCH-RPL Wireless Sensor Networks
by: Jose Vera-Pérez, et al.
Published: (2018-10-01)