Articles producció científica> Enginyeria Informàtica i Matemàtiques

Privacy-preserving cloud computing on sensitive data: A survey of methods, products and challenges

  • Datos identificativos

    Identificador: imarina:5724883
    Handle: http://hdl.handle.net/20.500.11797/imarina5724883
  • Autores:

    Domingo-Ferrer J
    Farràs O
    Ribes-González J
    Sánchez D
  • Otros:

    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
  • Palabras clave:

    Computer Networks and Communications,Computer Science, Hardware & Architecture,Computer Science, Information Systems,Computer Science, Software Engineering,Computer Science, Software, Graphics, Programming,Engineering, Electrical & Electronic,Telecommunications
    Sensitive data
    Public clouds
    Privacy
    Data confidentiality
    Cloud computing
    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
  • Documentos:

  • Cerca a google

    Search to google scholar