dc.contributor.author | Silvelo, Arturo | |
dc.contributor.author | Garabato, D. | |
dc.contributor.author | Santoveña, Raúl | |
dc.contributor.author | Dafonte, Carlos | |
dc.date.accessioned | 2020-10-15T16:58:11Z | |
dc.date.available | 2020-10-15T16:58:11Z | |
dc.date.issued | 2020-08-18 | |
dc.identifier.citation | Silvelo, A.; Garabato, D.; Santoveña, R.; Dafonte, C. A First Approach to Authentication Based on Artificial Intelligence for Touch-Screen Devices. Proceedings 2020, 54, 1. https://doi.org/10.3390/proceedings2020054001 | es_ES |
dc.identifier.issn | 2504-3900 | |
dc.identifier.uri | http://hdl.handle.net/2183/26439 | |
dc.description | Presented at the 3rd XoveTIC Conference, A Coruña, Spain, 8–9 October 2020 | |
dc.description.abstract | [Abstract]
Most authentication schemes follow a classical approach, where the users are authenticated only once at the beginning of their sessions. Therefore, it is not possible to verify the legitimate use of such a session or to detect any usurpation. In order to address this issue, we propose a second-phase authentication scheme that provides not only continuous user authentication during their sessions, but also in a transparent manner, since no additional or intrusive hardware is required. To this purpose, a novel approach was applied to create specific user profiles by means of different Artificial Intelligence techniques. In this work, we aim to study the feasibility of such an authentication scheme, so that it could be applied to a real time environment in order to verify the identity of the actual user against the legitimate user profile. | es_ES |
dc.description.sponsorship | This work has been mainly funded by the contracts CITIC-ACATIA, and CITIC-ACATIA2 established with the private entity ODEENE Ingeniería. We also wish to acknowledge the support received from the CITIC as a Research Centre of the Galician University System is financed by the Conselleria de Education, Universidades e Formacin Profesinal (Xunta de Galicia) through the ERDF (80%), Operational Programme ERDF Galicia 2014–2020 and the remaining 20% by the Secretaria Xeral de Universidades (Ref. ED431G 2019/01), the research group fund ED431B 2018/42, and the Ministerio de Educación Cultura FPU16/03827 grant | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431B 2018/42 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation | info:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FPU16%2F03827/ES/ | |
dc.relation.uri | https://doi.org/10.3390/proceedings2020054001 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Authentication | es_ES |
dc.subject | Artificial intelligence | es_ES |
dc.subject | Cybersecurity | es_ES |
dc.title | A First Approach to Authentication Based on Artificial Intelligence for Touch-Screen Devices | 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.volume | 54 | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 1 | es_ES |
dc.identifier.doi | 10.3390/proceedings2020054001 | |
UDC.conferenceTitle | 3rd XoveTIC Conference; A Coruña, Spain; 8–9 October 2020 | es_ES |