Intelligent one-class classifiers for the development of an intrusion detection system: the MQTT case study
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Intelligent one-class classifiers for the development of an intrusion detection system: the MQTT case studyAuthor(s)
Date
2022-01-30Citation
Jove, 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/ electronics11030422
Abstract
[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.
Keywords
One-class
K-means
IoT
PCA
MQTT
APE
SVM
NCBoP
K-means
IoT
PCA
MQTT
APE
SVM
NCBoP
Editor version
Rights
Atribución 4.0 Internacional
ISSN
2079-9292