Jove, EstebanAveleira Mata, Jose AntonioAlaiz Moretón, HéctorCasteleiro-Roca, José-LuisMarcos del Blanco, David YereguiZayas-Gato, FranciscoQuintián, HéctorCalvo-Rolle, José Luis2022-05-122022-05-122022-01-30Jove, E.; Aveleira-Mata, J.; Alaiz-Moretón, H.; Casteleiro-Roca, J.-L.; Marcos del Blanco, D.Y.; Zayas-Gato, F.; Quintián, H.; Calvo-Rolle, J.L. Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study. Electronics 2022, 11, 422. https://doi.org/10.3390/ electronics110304222079-9292http://hdl.handle.net/2183/30652[Abstarct] The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the deployment of different one-class classifiers to prevent attacks over the Internet of Things (IoT) protocol Message Queuing Telemetry Transport (MQTT). The utilization of real data sets has allowed us to train the one-class algorithms, showing a remarkable performance in detecting attacks.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/3.0/es/One-classK-meansIoTPCAMQTTAPESVMNCBoPjournal articleopen accesshttps://doi.org/10.3390/electronics11030422