Author, as appears in the article.: Domingo-Ferrer J; Farràs O; Ribes-González J; Sánchez D

Department: Enginyeria Informàtica i Matemàtiques Enginyeria Informàtica i Matemàtiques Enginyeria Informàtica i Matemàtiques

URV's Author/s: Domingo Ferrer, Josep / Farràs Ventura, Oriol / Ribes Gonzalez, Jordi / Sánchez Ruenes, David

Keywords: Sensitive data Public clouds Privacy Data confidentiality Cloud computing

Abstract: © 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.

Thematic Areas: 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

Author's mail: jordi.ribes@urv.cat josep.domingo@urv.cat david.sanchez@urv.cat oriol.farras@urv.cat

Author identifier: 0000-0001-6329-7380 0000-0001-7213-4962 0000-0001-7275-7887 0000-0002-7495-5980

Record's date: 2023-02-22

Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/

Papper original source: Computer Communications. 140-141 38-60

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

Article's DOI: 10.1016/j.comcom.2019.04.011

Entity: Universitat Rovira i Virgili

Journal publication year: 2019

Publication Type: Journal Publications