Publicación:
Privacy Analysis in Mobile Apps and Social Networks Using AI Techniques

Vista sencilla de ítem
dc.contributor.authorBlanco Aza, Daniel
dc.contributor.authorRobles Gómez, Antonio
dc.contributor.authorPastor Vargas, Rafael
dc.contributor.authorTobarra Abad, María de los Llanos
dc.contributor.authorVidal Balboa, Pedro
dc.contributor.authorMéndez Suárez, Mariano
dc.coverage.spatialValencia, Spain
dc.coverage.temporal2024-09-17
dc.date.accessioned2025-05-09T08:23:16Z
dc.date.available2025-05-09T08:23:16Z
dc.date.issued2024-09-17
dc.descriptionEsta es la versión aceptada del artículo. La versión registrada fue publicada por primera vez en 2024 4th Intelligent Cybersecurity Conference (ICSC), Valencia, Spain, 2024, pp. 188-195, está disponible en línea en el sitio web del editor: https://doi.org/10.1109/ICSC63108.2024.10895037. This is the accepted version of the article. The registered version was first published in 2024 4th Intelligent Cybersecurity Conference (ICSC), Valencia, Spain, 2024, pp. 188-195, is available online at the publisher's website: https://doi.org/10.1109/ICSC63108.2024.10895037.
dc.description.abstractIn the current landscape of mobile applications and social networks, privacy concerns have become paramount due to the extensive collection and processing of personal data. Therefore, this paper presents a comprehensive review of the state-of-the-art on automated privacy risk analysis in mobile applications and social networks. This review includes various methodologies, tools and frameworks that use ML and NLP systems to assess and ensure compliance with privacy regulations, such as the GDPR. Through a careful application of the PRISMA methodology, key studies have been systematically analyzed. Our findings reveal significant progress in the integration of automated techniques for assessing privacy risks.en
dc.description.versionversión final
dc.identifier.citationD. Blanco-Aza, A. Robles-Gómez, R. Pastor-Vargas, L. Tobarra, P. Vidal-Balboa and M. Méndez-Suárez, "Privacy Analysis in Mobile Apps and Social Networks Using AI Techniques," 2024 4th Intelligent Cybersecurity Conference (ICSC), Valencia, Spain, 2024, pp. 188-195, https://doi.org/10.1109/ICSC63108.2024.10895037
dc.identifier.doihttps://doi.org/10.1109/ICSC63108.2024.10895037
dc.identifier.isbn979-8-3503-5477-5
dc.identifier.urihttps://hdl.handle.net/20.500.14468/26528
dc.language.isoen
dc.publisherIEEE - Institute of Electrical and Electronics Engineers
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.congressProceedings of the 2024 4th Intelligent Cybersecurity Conference (ICSC)
dc.relation.departmentSistemas de Comunicación y Control
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject12 Matemáticas::1203 Ciencia de los ordenadores ::1203.17 Informática
dc.subject.keywordsAutomated Privacy Risken
dc.subject.keywordsMobile Appsen
dc.subject.keywordsAI Techniquesen
dc.subject.keywordsPRISMA Methodologyen
dc.subject.keywordsData Privacyen
dc.titlePrivacy Analysis in Mobile Apps and Social Networks Using AI Techniquesen
dc.typeactas de congresoes
dc.typeconference proceedingsen
dspace.entity.typePublication
person.familyNameRobles Gómez
person.familyNamePastor Vargas
person.familyNameTobarra Abad
person.givenNameAntonio
person.givenNameRafael
person.givenNameMaría de los Llanos
person.identifier.orcid0000-0002-5181-0199
person.identifier.orcid0000-0002-4089-9538
person.identifier.orcid0000-0003-2779-4042
relation.isAuthorOfPublication17556659-f434-4220-841d-aac35f492e62
relation.isAuthorOfPublicationf93103de-336d-47ac-886b-e2cbd425ed87
relation.isAuthorOfPublicationb584f8a3-eb01-4a43-9ed7-5075b74224ae
relation.isAuthorOfPublication.latestForDiscovery17556659-f434-4220-841d-aac35f492e62
Archivos
Bloque original
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
RoblesGomez_Antonio_Privacy_Analysis_in_Mobil.pdf
Tamaño:
1.15 MB
Formato:
Adobe Portable Document Format
Descargar
Bloque de licencias
Mostrando 1 - 1 de 1
No hay miniatura disponible
Nombre:
license.txt
Tamaño:
3.62 KB
Formato:
Item-specific license agreed to upon submission
Descripción:
Descargar
Colecciones
Actas y comunicaciones de congresos