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

Use this link to cite
http://hdl.handle.net/2183/29057
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/
Collections
- Investigación (EPEF) [581]
Metadata
Show full item recordTitle
Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary ClassifiersDate
2021Citation
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
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.
Keywords
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
Editor version
Rights
Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/
ISSN
2673-4591