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Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers

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2021_Michelena_Alvaro_Detection_of_DoS_Attacks_in_an_IoT_Environment.pdf (315.67 KB)

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URI: http://hdl.handle.net/2183/29057
DOI: https://doi.org/10.3390/engproc2021007016

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2021

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Michelena, Á.; Zayas-Gato, F.; Jove, E.; Calvo-Rolle, J.L. Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers. Eng. Proc. 2021, 7, 16. https://doi.org/10.3390/engproc2021007016

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Abstract

[Abstract] The present work deals with the problem of detecting Denial of Service attacks in an IoT environment. To achieve this goal, a dataset registered in an MQTT protocol network is used, applying dimension reduction techniques combined with classification algorithms. The final classifiers presents successful results.

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MQTT IoT Internet of things DoS Logistic regression KNN Decision trees Deep neural networks

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https://doi.org/10.3390/engproc2021007016

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Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/

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Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/

Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/