Abstract
Nowadays, Internet of things (IoT) systems add connectivity to physical and common objects offering new possibilities, this systems have special features such as the low capacity of the devices and behaviour of the protocols used. These facts make cybersecurity in this kind of systems is critical. The current work uses a dataset is based on denial of service attacks over a traffic protocol used in IoT systems, called MQTT. In order to address the classification of new denial of service attacks, one-class technique is applied, obtaining good results using the Principal Component Analysis (PCA) algorithm as complement to this method.
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23 January 2022
In the original version of the chapters 9 and 31, the following belated corrections have been incorporated: The author name “Francico Zayas-Gato” has been changed to “Francisco Zayas-Gato”. The correction chapters and the book have been updated with the changes.
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Acknowledgements
Spanish National Cybersecurity Institute (INCIBE) and developed Research Institute of Applied Sciences in Cybersecurity (RIASC).
CITIC, as a Research Center of the University System of Galicia, is funded by Consellería de Educación, Universidade e Formación Profesional of the Xunta de Galicia through the European Regional Development Fund (ERDF) and the Secretaría Xeral de Universidades (Ref. ED431G 2019/01).
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Aveleira-Mata, J. et al. (2022). Detection of Denial of Service Attacks in an MQTT Environment Using a One-Class Approach. In: Gude Prego, J.J., de la Puerta, J.G., García Bringas, P., Quintián, H., Corchado, E. (eds) 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021). CISIS - ICEUTE 2021. Advances in Intelligent Systems and Computing, vol 1400. Springer, Cham. https://doi.org/10.1007/978-3-030-87872-6_9
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