Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers
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Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary ClassifiersFecha
2021Cita bibliográfica
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
Resumen
[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.
Palabras clave
MQTT
IoT
Internet of Things
DoS
Logistic regression
KNN
Decision trees
Deep neural networks
IoT
Internet of Things
DoS
Logistic regression
KNN
Decision trees
Deep neural networks
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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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2673-4591