Automated GDPR compliance assessment for cross-border personal data transfers in android applications

Guamán Loachamín, Danny Santiago ORCID: https://orcid.org/0000-0003-2794-3079, Rodriguez Torrado, David ORCID: https://orcid.org/0000-0002-0911-4608, Álamo Ramiro, José María del ORCID: https://orcid.org/0000-0002-6513-0303 and Such, Jose (2023). Automated GDPR compliance assessment for cross-border personal data transfers in android applications. "Computers & Security", v. 130 ; p. 103262. ISSN 0167-4048. https://doi.org/10.1016/j.cose.2023.103262.

Descripción

Título: Automated GDPR compliance assessment for cross-border personal data transfers in android applications
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Computers & Security
Fecha: 2023
ISSN: 0167-4048
Volumen: 130
Materias:
ODS:
Palabras Clave Informales: D.4.6 security and privacy protection, J.9 mobile applications, K.4.1.f privacy, K.4.1.g regulation, k.4.1.h transborder data flow
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Sistemas Telemáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The General Data Protection Regulation (GDPR) aims to ensure that all personal data processing activities are fair and transparent for the European Union (EU) citizens, regardless of whether these are carried out within the EU or anywhere else. To this end, it sets strict requirements to transfer personal data outside the EU. However, checking these requirements is a daunting task for supervisory authorities, particularly in the mobile app domain due to the huge number of apps available and their dynamic nature. In this paper, we propose a fully automated method for assessing the compliance of Android apps with the GDPR requirements for cross-border personal data transfers. We have applied the method to 4593 apps from the Google Play Store discovering that nearly half of the ones sending personal data are potentially non-compliant with GDPR requirements. These results reveal that there is still a very significant gap between what app providers do in practice and what is intended by the GDPR.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TED2021-130455A-I00
AutoGDPR
Jose M. Del Alamo
Evaluación automática del Reglamento General de Protección de Datos

Más información

ID de Registro: 78585
Identificador DC: https://oa.upm.es/78585/
Identificador OAI: oai:oa.upm.es:78585
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10041169
Identificador DOI: 10.1016/j.cose.2023.103262
URL Oficial: https://www.sciencedirect.com/science/article/pii/...
Depositado por: Jose Maria Del Alamo Ramiro
Depositado el: 01 Feb 2024 18:27
Ultima Modificación: 12 Nov 2025 00:00