Enhancing Security in Smart Robot Digital Twins Through Intrusion Detection Systems

Enhancing Security in Smart Robot Digital Twins Through Intrusion Detection Systems

This paper investigates the integration of intrusion detection systems (IDSs) within Digital Twin (DT) architectures to enhance cybersecurity in industrial environments. Using the CICIDS2017, CIC Modbus, and 4SICS 2015 datasets, we evaluate the performance of Random Forest (RF) and Support Vector Ma...

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Bibliographic Details
Main Authors: Bogdan-Valentin Vasilica, Florin-Daniel Anton, Radu Pietraru, Silvia-Oana Anton, Beatrice-Nicoleta Chiriac
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
digital twins
intrusion detection systems
machine learning
CICIDS2017 dataset
CIC Modbus
cybersecurity
Online Access:https://www.mdpi.com/2076-3417/15/9/4596
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