STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance

STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance

Industrial Internet of Things (I-IoT) is a network of devices that focus on monitoring industrial assets and continuously collecting data. This data can be utilized by Machine Learning (ML) methods to perform Predictive Maintenance (PDM) which identifies an optimal maintenance schedule for the indus...

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Bibliographic Details
Main Authors: Aksanli, B. (Author), Gungor, O. (Author), Rosing, T. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Adversarial machine learning
Computer crime
Crime
Cyber attacks
Cyber security
Cybersecurity in industrial IoT
Cybersecurity in Industrial IoT
Data driven
Ensemble learning
Internet of things
Learning algorithms
Machine learning
Machine learning methods
Maintenance
Network security
Optimal maintenance
Predictive maintenance
Stackings
White box
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