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Article

MQTTset, a New Dataset for Machine Learning Techniques on MQTT

1
Consiglio Nazionale delle Ricerche (CNR), IEIIT Institute, 16149 Genoa, Italy
2
Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, 16145 Genoa, Italy
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6578; https://doi.org/10.3390/s20226578
Received: 30 September 2020 / Revised: 12 November 2020 / Accepted: 16 November 2020 / Published: 18 November 2020
(This article belongs to the Special Issue Intelligent and Adaptive Security in Internet of Things)
IoT networks are increasingly popular nowadays to monitor critical environments of different nature, significantly increasing the amount of data exchanged. Due to the huge number of connected IoT devices, security of such networks and devices is therefore a critical issue. Detection systems assume a crucial role in the cyber-security field: based on innovative algorithms such as machine learning, they are able to identify or predict cyber-attacks, hence to protect the underlying system. Nevertheless, specific datasets are required to train detection models. In this work we present MQTTset, a dataset focused on the MQTT protocol, widely adopted in IoT networks. We present the creation of the dataset, also validating it through the definition of a hypothetical detection system, by combining the legitimate dataset with cyber-attacks against the MQTT network. Obtained results demonstrate how MQTTset can be used to train machine learning models to implement detection systems able to protect IoT contexts. View Full-Text
Keywords: Internet of Things; dataset; MQTT; machine learning; detection system; artificial intelligence Internet of Things; dataset; MQTT; machine learning; detection system; artificial intelligence
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MDPI and ACS Style

Vaccari, I.; Chiola, G.; Aiello, M.; Mongelli, M.; Cambiaso, E. MQTTset, a New Dataset for Machine Learning Techniques on MQTT. Sensors 2020, 20, 6578. https://doi.org/10.3390/s20226578

AMA Style

Vaccari I, Chiola G, Aiello M, Mongelli M, Cambiaso E. MQTTset, a New Dataset for Machine Learning Techniques on MQTT. Sensors. 2020; 20(22):6578. https://doi.org/10.3390/s20226578

Chicago/Turabian Style

Vaccari, Ivan; Chiola, Giovanni; Aiello, Maurizio; Mongelli, Maurizio; Cambiaso, Enrico. 2020. "MQTTset, a New Dataset for Machine Learning Techniques on MQTT" Sensors 20, no. 22: 6578. https://doi.org/10.3390/s20226578

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