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[HTML][HTML] IoT dataset validation using machine learning techniques for traffic anomaly detection

L Vigoya, D Fernandez, V Carneiro, FJ Novoa - Electronics, 2021 - mdpi.com
With advancements in engineering and science, the application of smart systems is
increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT …
被引用次数：13 相关文章
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[PDF][PDF] IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection. Electronics 2021, 10, 2857

L Vigoya, D Fernandez, V Carneiro, FJ Novoa - 2021 - pdfs.semanticscholar.org
With advancements in engineering and science, the application of smart systems is
increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT …

IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection

L Vigoya, D Fernández, V Carneiro, F Nóvoa - Electronics, 2021 - ruc.udc.es
With advancements in engineering and science, the application of smart systems is
increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT …

IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection

L Vigoya, D Fernandez, V Carneiro, FJ Nóvoa - Electronics, 2021 - search.proquest.com
With advancements in engineering and science, the application of smart systems is
increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT …

IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection.

L Vigoya, D Fernandez, V Carneiro… - Electronics (2079 …, 2021 - search.ebscohost.com
With advancements in engineering and science, the application of smart systems is
increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT …