Author, as appears in the article.: Domingo-Ferrer J, Ricci S, Domingo-Enrich C

Department: Enginyeria Informàtica i Matemàtiques

URV's Author/s: Domingo Ferrer, Josep

Keywords: Scalar product Privacy Matrix product Honest-but-curious clouds Data splitting Cloud computing

Abstract: 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.

Thematic Areas: 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

Author's mail: josep.domingo@urv.cat

Author identifier: 0000-0001-7213-4962

Last page: 342

Record's date: 2023-02-18

Journal volume: 436-437

Papper version: info:eu-repo/semantics/submittedVersion

Link to the original source: https://www.sciencedirect.com/science/article/pii/S0020025516321752

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

Papper original source: Information Sciences. 436-437 320-342

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

Article's DOI: 10.1016/j.ins.2018.01.024

Entity: Universitat Rovira i Virgili

Journal publication year: 2018

First page: 320

Publication Type: Journal Publications