The article by MohammadNoor Injadat discusses a proposed framework for improving the detection of intrusions and attacks in Industrial IoT (IIoT) environments. The framework leverages the combined use of Bayesian Optimization-Gaussian Process (BO-GP) with an ensemble tree-based learning model. The efficiency of the framework is evaluated using the Windows 10 dataset, and results show improved detection accuracy, precision, and F-score when compared to standard tree and ensemble tree models. The article highlights the importance of machine learning in enhancing the security of IIoT devices.

 

Publication date: 15 Jan 2024
Project Page: Not Provided
Paper: https://arxiv.org/pdf/2401.05509

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