Cloud computing helps reduce costs, increase business agility and deploysolutions with a high return on investment for many types of applications,including data warehouses and on-line analytical processing. However, storingand transferring sensitive data into the cloud raises legitimate securityconcerns. In this paper, we propose a new multi-secret sharing approach fordeploying data warehouses in the cloud and allowing on-line analysisprocessing, while enforcing data privacy, integrity and availability. We firstvalidate the relevance of our approach theoretically and then experimentallywith both a simple random dataset and the Star Schema Benchmark. We alsodemonstrate its superiority to related methods.
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