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dc.contributor.authorMichelena, Álvaro
dc.contributor.authorZayas-Gato, Francisco
dc.contributor.authorJove, Esteban
dc.contributor.authorCalvo-Rolle, José Luis
dc.date.accessioned2021-12-02T12:56:09Z
dc.date.available2021-12-02T12:56:09Z
dc.date.issued2021
dc.identifier.citationMichelena, 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/engproc2021007016es_ES
dc.identifier.issn2673-4591
dc.identifier.urihttp://hdl.handle.net/2183/29057
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.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.urihttps://doi.org/10.3390/engproc2021007016es_ES
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectMQTTes_ES
dc.subjectIoTes_ES
dc.subjectInternet of Thingses_ES
dc.subjectDoSes_ES
dc.subjectLogistic regressiones_ES
dc.subjectKNNes_ES
dc.subjectDecision treeses_ES
dc.subjectDeep neural networkses_ES
dc.titleDetection of DoS Attacks in an IoT Environment with MQTT Protocol Based on Intelligent Binary Classifierses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleEngineering Proceedingses_ES
UDC.volume7es_ES
UDC.issue1es_ES
UDC.startPage1es_ES
UDC.endPage4es_ES
dc.identifier.doihttps://doi.org/10.3390/engproc2021007016
UDC.conferenceTitle4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021es_ES


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