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

作者：Attasena Varunya^*; Harbi Nouria; Darmont Jerome

来源：International Journal of Data Warehousing and Mining, 2015, 11(2): 22-43.

DOI：10.4018/ijdwm.2015040102

• Cloud Computing
• Data Availability
• Data Integrity
• Data Privacy
• Data Warehouses
• OLAP
• Secret Sharing

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.

• 出版日期2015-6