Articles producció científica> Enginyeria Informàtica i Matemàtiques

Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds

  • Dades identificatives

    Identificador: imarina:3669076
    Autors:
    Domingo-Ferrer J, Ricci S, Domingo-Enrich C
    Resum:
    Data controllers accumulate more and more data on people, of which a substantial proportion are personally identifiable and hence sensitive data. Storing and processing those data in local premises is increasingly inconvenient, but resorting to cloud storage and processing raises security and privacy issues. We show how to use untrusted clouds to compute scalar products and matrix products on privacy-protected data stored in them. These operations are useful in statistics, linear algebra, data analysis and engineering. In our solutions, the privacy-protected sensitive data stored in the clouds are not encrypted, but preserve some utility (that is, some statistical properties) of the original data. We consider two variants of honest-but-curious clouds: clouds that do not share information with each other and clouds that may collude by sharing information with each other. In addition to analyzing the security of the proposed protocols, we also evaluate their performance against a baseline consisting of downloading plus local computation.
  • Altres:

    Autor segons l'article: Domingo-Ferrer J, Ricci S, Domingo-Enrich C
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: Domingo Ferrer, Josep
    Paraules clau: Scalar product Privacy Matrix product Honest-but-curious clouds Data splitting Cloud computing
    Resum: Data controllers accumulate more and more data on people, of which a substantial proportion are personally identifiable and hence sensitive data. Storing and processing those data in local premises is increasingly inconvenient, but resorting to cloud storage and processing raises security and privacy issues. We show how to use untrusted clouds to compute scalar products and matrix products on privacy-protected data stored in them. These operations are useful in statistics, linear algebra, data analysis and engineering. In our solutions, the privacy-protected sensitive data stored in the clouds are not encrypted, but preserve some utility (that is, some statistical properties) of the original data. We consider two variants of honest-but-curious clouds: clouds that do not share information with each other and clouds that may collude by sharing information with each other. In addition to analyzing the security of the proposed protocols, we also evaluate their performance against a baseline consisting of downloading plus local computation.
    Àrees temàtiques: Theoretical computer science Software Medicina ii Matemática / probabilidade e estatística Interdisciplinar Information systems and management Ensino Engenharias iv Engenharias iii Engenharias i Control and systems engineering Comunicação e informação Computer science, information systems Computer science applications Ciencias sociales Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência da computação Biodiversidade Astronomia / física Artificial intelligence Administração pública e de empresas, ciências contábeis e turismo
    ISSN: 00200255
    Adreça de correu electrònic de l'autor: josep.domingo@urv.cat
    Identificador de l'autor: 0000-0001-7213-4962
    Pàgina final: 342
    Data d'alta del registre: 2024-09-07
    Volum de revista: 436-437
    Versió de l'article dipositat: info:eu-repo/semantics/submittedVersion
    Enllaç font original: https://www.sciencedirect.com/science/article/pii/S0020025516321752
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referència a l'article segons font original: Information Sciences. 436-437 320-342
    Referència de l'ítem segons les normes APA: Domingo-Ferrer J, Ricci S, Domingo-Enrich C (2018). Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds. Information Sciences, 436-437(), 320-342. DOI: 10.1016/j.ins.2018.01.024
    DOI de l'article: 10.1016/j.ins.2018.01.024
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2018
    Pàgina inicial: 320
    Tipus de publicació: Journal Publications
  • Paraules clau:

    Artificial Intelligence,Computer Science Applications,Computer Science, Information Systems,Control and Systems Engineering,Information Systems and Management,Software,Theoretical Computer Science
    Scalar product
    Privacy
    Matrix product
    Honest-but-curious clouds
    Data splitting
    Cloud computing
    Theoretical computer science
    Software
    Medicina ii
    Matemática / probabilidade e estatística
    Interdisciplinar
    Information systems and management
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias i
    Control and systems engineering
    Comunicação e informação
    Computer science, information systems
    Computer science applications
    Ciencias sociales
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência da computação
    Biodiversidade
    Astronomia / física
    Artificial intelligence
    Administração pública e de empresas, ciências contábeis e turismo
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