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

Michelena, ÁlvaroZayas-Gato, FranciscoJove, EstebanCalvo-Rolle, José Luis2021-12-022021-12-022021Michelena, 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/engproc20210070162673-4591http://hdl.handle.net/2183/29057[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.engCreative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/3.0/es/MQTTIoTInternet of thingsDoSLogistic regressionKNNDecision treesDeep neural networksDetection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiersconference outputopen accesshttps://doi.org/10.3390/engproc2021007016