Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study

[EN] 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 Thi...

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Detalles Bibliográficos
Autores: Jove, Esteban, Aveleira Mata, José Antonio, Alaiz Moretón, Héctor, Casteleiro Roca, José Luis, Marcos del Blanco, David Yeregui, Zayas Gato, Francisco, Quintián, Héctor, Calvo Rolle, José Luis
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/19739
Acceso en línea:https://www.mdpi.com/2079-9292/11/3/422
https://hdl.handle.net/10612/19739
Access Level:acceso abierto
Palabra clave:Informática
One-class
K-means
IoT
PCA
MQTT
APE
SVM
NCBoP
1203.17 Informática
Descripción
Sumario:[EN] 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.

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