Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers
Use este enlace para citar
http://hdl.handle.net/2183/29057
A non ser que se indique outra cousa, a licenza do ítem descríbese como Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/
Coleccións
Metadatos
Mostrar o rexistro completo do ítemTítulo
Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary ClassifiersData
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
Resumo
[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 chave
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
Versión do editor
Dereitos
Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/
ISSN
2673-4591