Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers
| UDC.coleccion | Investigación | es_ES |
| UDC.conferenceTitle | 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021 | es_ES |
| UDC.departamento | Enxeñaría Industrial | es_ES |
| UDC.endPage | 4 | es_ES |
| UDC.grupoInv | Ciencia e Técnica Cibernética (CTC) | es_ES |
| UDC.issue | 1 | es_ES |
| UDC.journalTitle | Engineering Proceedings | es_ES |
| UDC.startPage | 1 | es_ES |
| UDC.volume | 7 | es_ES |
| dc.contributor.author | Michelena, Álvaro | |
| dc.contributor.author | Zayas-Gato, Francisco | |
| dc.contributor.author | Jove, Esteban | |
| dc.contributor.author | Calvo-Rolle, José Luis | |
| dc.date.accessioned | 2021-12-02T12:56:09Z | |
| dc.date.available | 2021-12-02T12:56:09Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | [Abstract] The present work deals with the problem of detecting Denial of Service attacks in an IoT environment. To achieve this goal, a dataset registered in an MQTT protocol network is used, applying dimension reduction techniques combined with classification algorithms. The final classifiers presents successful results. | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
| dc.identifier.citation | Michelena, Á.; Zayas-Gato, F.; Jove, E.; Calvo-Rolle, J.L. Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers. Eng. Proc. 2021, 7, 16. https://doi.org/10.3390/engproc2021007016 | es_ES |
| dc.identifier.doi | https://doi.org/10.3390/engproc2021007016 | |
| dc.identifier.issn | 2673-4591 | |
| dc.identifier.uri | http://hdl.handle.net/2183/29057 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI | es_ES |
| dc.relation.uri | https://doi.org/10.3390/engproc2021007016 | es_ES |
| dc.rights | Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/ | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.subject | MQTT | es_ES |
| dc.subject | IoT | es_ES |
| dc.subject | Internet of things | es_ES |
| dc.subject | DoS | es_ES |
| dc.subject | Logistic regression | es_ES |
| dc.subject | KNN | es_ES |
| dc.subject | Decision trees | es_ES |
| dc.subject | Deep neural networks | es_ES |
| dc.title | Detection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifiers | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 0e442a82-5ca4-440a-8240-4c806328edf8 | |
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| relation.isAuthorOfPublication | 89839e9c-9a8a-4d27-beb7-476cfab8965e | |
| relation.isAuthorOfPublication.latestForDiscovery | 0e442a82-5ca4-440a-8240-4c806328edf8 |
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