Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System
| UDC.coleccion | Investigación | es_ES |
| UDC.conferenceTitle | XoveTIC 2019 A Coruña, Spain, 5-6 September | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.grupoInv | Laboratorio Interdisciplinar de Aplicacións da Intelixencia Artificial (LIA2) | es_ES |
| UDC.issue | 1 | es_ES |
| UDC.journalTitle | Proceedings | es_ES |
| UDC.startPage | 29 | es_ES |
| UDC.volume | 21 | es_ES |
| dc.contributor.author | Garabato, D. | |
| dc.contributor.author | Rodríguez García, Jorge | |
| dc.contributor.author | Nóvoa, Francisco | |
| dc.contributor.author | Dafonte, Carlos | |
| dc.date.accessioned | 2019-08-28T12:04:41Z | |
| dc.date.available | 2019-08-28T12:04:41Z | |
| dc.date.issued | 2019-08-01 | |
| dc.description.abstract | [Abstract] Nowadays, a wide variety of computer systems use authentication protocols based on several factors in order to enhance security. In this work, the viability of a second-phase authentication scheme based on users’ mouse behavior is analyzed by means of classical Artificial Intelligence techniques, such as the Support Vector Machines or Multi-Layer Perceptrons. Such methods were found to perform particularly well, demonstrating the feasibility of mouse behavior analytics as a second-phase authentication mechanism. In addition, in the current stage of the experiments, the classification techniques were found to be very stable for the extracted features. | es_ES |
| dc.description.sponsorship | Ministerio de Educación, Cultura y Deporte; FPU16/03827 | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431B 2018/42 | es_ES |
| dc.description.sponsorship | Ministerio de Innovación, Ciencia y Universidades; RTI2018-095076-B-C22 | es_ES |
| dc.description.sponsorship | Ministerio de Innovación, Ciencia y Universidades; ESP2016-80079-C2-2-R | es_ES |
| dc.identifier.citation | GARABATO, Daniel, et al. Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System. En Multidisciplinary Digital Publishing Institute Proceedings. 2019. p. 29. | es_ES |
| dc.identifier.doi | 10.3390/proceedings2019021029 | |
| dc.identifier.issn | 2504-3900 | |
| dc.identifier.uri | http://hdl.handle.net/2183/23886 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | MDPI AG | es_ES |
| dc.relation.uri | https://doi.org/10.3390/proceedings2019021029 | es_ES |
| dc.rights | Atribución 4.0 España | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | * |
| dc.subject | Authentication | es_ES |
| dc.subject | Computer security | es_ES |
| dc.subject | Artificial intelligence | es_ES |
| dc.title | Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 1a431829-71d0-44aa-a001-8d2984c3b413 | |
| relation.isAuthorOfPublication | 6f38fb90-68db-4d7c-89e0-8cff7f9d673c | |
| relation.isAuthorOfPublication | c3c2021f-0b5d-408f-afff-ec09ab5eaeee | |
| relation.isAuthorOfPublication.latestForDiscovery | 1a431829-71d0-44aa-a001-8d2984c3b413 |
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