%0 Journal Article
%T A Novel Multi-Secret Sharing Approach for Secure Data Warehousing and On-Line Analysis Processing in the Cloud
%+ Entrepôts, Représentation et Ingénierie des Connaissances (ERIC)
%A Attasena, Varunya
%A Harbi, Nouria
%A Darmont, Jérôme
%< avec comité de lecture
%Z ERIC:14-022
%@ 1548-3924
%J International Journal of Data Warehousing and Mining (IJDWM)
%I IGI Global
%V 11
%N 2
%P 22-43
%8 2015
%D 2015
%Z 1701.05449
%R 10.4018/ijdwm.2015040102
%K Data warehouses
%K OLAP
%K Cloud computing
%K Secret sharing
%K Data privacy
%K Data availability
%K Data integrity
%Z Computer Science [cs]/Databases [cs.DB]
%Z Computer Science [cs]/Cryptography and Security [cs.CR]Journal articles
%X Cloud computing helps reduce costs, increase business agility and deploy solutions with a high return on investment for many types of applications, including data warehouses and on-line analytical processing. However, storing and transferring sensitive data into the cloud raises legitimate security concerns. In this paper, we propose a new multi-secret sharing approach for deploying data warehouses in the cloud and allowing on-line analysis processing, while enforcing data privacy, integrity and availability. We first validate the relevance of our approach theoretically and then experimentally with both a simple random dataset and the Star Schema Benchmark. We also demonstrate its superiority to related methods.
%G English
%2 https://hal.science/hal-01435499/document
%2 https://hal.science/hal-01435499/file/14-1328-final.pdf
%L hal-01435499
%U https://hal.science/hal-01435499
%~ UNIV-LYON1
%~ UNIV-LYON2
%~ ERIC
%~ LABEXIMU
%~ UDL
%~ UNIV-LYON