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dc.contributor.authorLópez-Vizcaíno, Manuel F.
dc.contributor.authorVigoya, Laura
dc.contributor.authorCacheda, Fidel
dc.contributor.authorNóvoa, Francisco
dc.date.accessioned2019-08-29T09:44:44Z
dc.date.available2019-08-29T09:44:44Z
dc.date.issued2019-08-05
dc.identifier.citationLÓPEZ-VIZCAÍNO, Manuel, et al. Time-Aware Detection Systems. En Multidisciplinary Digital Publishing Institute Proceedings. 2019. p. 39.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/23891
dc.description.abstract[Abstract] Communication network data has been growing in the last decades and with the generalisation of the Internet of Things (IoT) its growth has increased. The number of attacks to this kind of infrastructures have also increased due to the relevance they are gaining. As a result, it is vital to guarantee an adequate level of security and to detect threats as soon as possible. Classical methods emphasise in detection but not taking into account the number of records needed to successfully identify an attack. To achieve this, time-aware techniques both for detection and measure may be used. In this work, well-known machine learning methods will be explored to detect attacks based on public datasets. In order to obtain the performance, classic metrics will be used but also the number of elements processed will be taken into account in order to determine a time-aware performance of the method.es_ES
dc.description.sponsorshipMinistero de Economía y Competitividad; TIN2015-70648-Pes_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01 2016-2019es_ES
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.relation.urihttps://doi.org/10.3390/proceedings2019021039es_ES
dc.rightsAtribución 4.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/*
dc.subjectIDSes_ES
dc.subjectEarly-detectiones_ES
dc.subjectCommunication networkses_ES
dc.subjectTime-aware metricses_ES
dc.titleTime-Aware Detection Systemses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleProceedingses_ES
UDC.volume21es_ES
UDC.issue1es_ES
UDC.startPage39es_ES
dc.identifier.doi10.3390/proceedings2019021039
dc.identifier.doi2504-3900
UDC.conferenceTitle2nd XoveTIC Conference, A Coruña, Spain, 5–6 September 2019.es_ES


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