Publicación: Privacy Analysis in Mobile Apps and Social Networks Using AI Techniques
Fecha
2024-09-17
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Derechos de acceso
info:eu-repo/semantics/embargoedAccess
Licencia Creative Commons
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
Título de la revista
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Editor
IEEE - Institute of Electrical and Electronics Engineers
Resumen
In 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.
Descripción
Esta 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.
Categorías UNESCO
Palabras clave
Automated Privacy Risk, Mobile Apps, AI Techniques, PRISMA Methodology, Data Privacy
Citación
D. 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
Centro
E.T.S. de Ingeniería Informática
Departamento
Sistemas de Comunicación y Control