Publications of Jérôme Darmont
V. Attasena, N. Harbi, J. Darmont, "A Novel Multi-Secret Sharing Approach for Secure Data Warehousing and On-Line Analysis Processing in the Cloud", Cloud Security: Concepts, Methodologies, Tools, and Applications, IGI Global, Hershey, PA, USA, 2019, 483-506 (republished from the International Journal of Data Warehousing and Mining, Vol. 11, No. 2, April-June 2015, 21-42).
Cloud computing can help 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 rais-es legitimate security concerns. In this paper, we propose a new multi-secret sharing approach for deploying a data warehouse in the cloud and allowing on-line analysis processing, while enforcing data privacy, integrity and availability. We first validate the relevance of our ap-proach theoretically, and then experimentally with both a simple random dataset and the Star Schema Benchmark. We also demonstrate its superiority to related, existing methods.
Data warehouses, OLAP, Cloud computing, Secret sharing, Data privacy, Data availability, Data integrity
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