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A Novel Multi-Secret Sharing Approach for Secure Data Warehousing and On-Line Analysis Processing in the Cloud

Author

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  • Varunya Attasena

    (Université de Lyon (Laboratoire ERIC), Lyon, France)

  • Nouria Harbi

    (Université de Lyon (Laboratoire ERIC), Lyon, France)

  • Jérôme Darmont

    (Université de Lyon (Laboratoire ERIC), Lyon, France)

Abstract

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, the authors' 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. The authors' first validate the relevance of their approach theoretically and then experimentally with both a simple random dataset and the Star Schema Benchmark. The authors also demonstrate its superiority to related methods.

Suggested Citation

  • Varunya Attasena & Nouria Harbi & Jérôme Darmont, 2015. "A Novel Multi-Secret Sharing Approach for Secure Data Warehousing and On-Line Analysis Processing in the Cloud," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 11(2), pages 22-43, April.
    • Handle: RePEc:igg:jdwm00:v:11:y:2015:i:2:p:22-43
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