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Anomaly Detection in IoT: Methods, Techniques and Tools
dc.contributor.author | Vigoya, Laura | |
dc.contributor.author | López-Vizcaíno, Manuel F. | |
dc.contributor.author | Fernández, Diego | |
dc.contributor.author | Carneiro, Víctor | |
dc.date.accessioned | 2019-09-20T13:59:25Z | |
dc.date.available | 2019-09-20T13:59:25Z | |
dc.date.issued | 2019-07-22 | |
dc.identifier.citation | Morales, L.V.V.; López-Vizcaíno, M.; Iglesias, D.F.; Díaz, V.M.C. Anomaly Detection in IoT: Methods, Techniques and Tools. Proceedings 2019, 21, 4. | es_ES |
dc.identifier.issn | 2504-3900 | |
dc.identifier.uri | http://hdl.handle.net/2183/23964 | |
dc.description.abstract | [Abstract] Nowadays, the Internet of things (IoT) network, as system of interrelated computing devices with the ability to transfer data over a network, is present in many scenarios of everyday life. Understanding how traffic behaves can be done more easily if the real environment is replicated to a virtualized environment. In this paper, we propose a methodology to develop a systematic approach to dataset analysis for detecting traffic anomalies in an IoT network. The reader will become familiar with the specific techniques and tools that are used. The methodology will have five stages: definition of the scenario, injection of anomalous packages, dataset analysis, implementation of classification algorithms for anomaly detection and conclusions. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.uri | https://doi.org/10.3390/proceedings2019021004 | es_ES |
dc.rights | Atribución 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Intrusion Detection Systems | es_ES |
dc.subject | Analysis | es_ES |
dc.subject | Metric | es_ES |
dc.subject | Algorithm design | es_ES |
dc.subject | Computer network management | es_ES |
dc.title | Anomaly Detection in IoT: Methods, Techniques and Tools | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Proceedings | es_ES |
UDC.issue | 21 | es_ES |
UDC.startPage | 1 | es_ES |
UDC.endPage | 4 | es_ES |
dc.identifier.doi | 10.3390/proceedings2019021004 | |
UDC.conferenceTitle | 2nd XoveTIC Conference, A Coruña, Spain, 5–6 September 2019. | es_ES |