Autor según el artículo: Domingo-Ferrer J; Farràs O; Ribes-González J; Sánchez D
Departamento: Enginyeria Informàtica i Matemàtiques Enginyeria Informàtica i Matemàtiques Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Domingo Ferrer, Josep / Farràs Ventura, Oriol / Ribes Gonzalez, Jordi / Sánchez Ruenes, David
Palabras clave: Sensitive data Public clouds Privacy Data confidentiality Cloud computing
Resumen: © 2019 Elsevier B.V. The increasing volume of personal and sensitive data being harvested by data controllers makes it increasingly necessary to use the cloud not just to store the data, but also to process them on cloud premises. However, security concerns on frequent data breaches, together with recently upgraded legal data protection requirements (like the European Union's General Data Protection Regulation), advise against outsourcing unprotected sensitive data to public clouds. To tackle this issue, this survey covers technologies that allow privacy-aware outsourcing of storage and processing of sensitive data to public clouds. Specifically and as a novelty, we review masking methods for outsourced data based on data splitting and anonymization, in addition to cryptographic methods covered in other surveys. We then compare these methods in terms of operations supported on the masked outsourced data, overhead, accuracy preservation, and impact on data management. Furthermore, we list several research projects and available products that have materialized some of the surveyed solutions. Finally, we identify outstanding research challenges.
Áreas temáticas: Telecommunications Interdisciplinar Engineering, electrical & electronic Engenharias iv Engenharias iii Computer science, software, graphics, programming Computer science, software engineering Computer science, information systems Computer science, hardware & architecture Computer networks and communications Ciências biológicas i Ciências ambientais Ciência da computação
ISSN: 01403664
Direcció de correo del autor: jordi.ribes@urv.cat josep.domingo@urv.cat david.sanchez@urv.cat oriol.farras@urv.cat
Identificador del autor: 0000-0001-6329-7380 0000-0001-7213-4962 0000-0001-7275-7887 0000-0002-7495-5980
Fecha de alta del registro: 2023-02-22
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Computer Communications. 140-141 38-60
Referencia de l'ítem segons les normes APA: Domingo-Ferrer J; Farràs O; Ribes-González J; Sánchez D (2019). Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges. Computer Communications, 140-141(), 38-60. DOI: 10.1016/j.comcom.2019.04.011
DOI del artículo: 10.1016/j.comcom.2019.04.011
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2019
Tipo de publicación: Journal Publications