Jan. 25, 2023, 2:10 a.m. | Onat Gungor, Tajana Rosing, Baris Aksanli

cs.CR updates on arXiv.org arxiv.org

Industrial Internet of Things (I-IoT) is a collaboration of devices, sensors,
and networking equipment to monitor and collect data from industrial
operations. Machine learning (ML) methods use this data to make high-level
decisions with minimal human intervention. Data-driven predictive maintenance
(PDM) is a crucial ML-based I-IoT application to find an optimal maintenance
schedule for industrial assets. The performance of these ML methods can
seriously be threatened by adversarial attacks where an adversary crafts
perturbed data and sends it to the …

adversarial adversarial attacks analytics application assets attacks collaboration collect data data-driven defense devices equipment find high human industrial industrial internet of things internet internet of things iot machine machine learning monitor networking operations performance predictive maintenance sensors things

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