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

TL;DR

This paper introduces a new multi-secret sharing method designed to enhance data privacy, integrity, and availability for cloud-based data warehouses and online analytical processing, validated through theoretical and experimental analysis.

Contribution

The paper presents a novel multi-secret sharing approach specifically tailored for secure cloud data warehousing and OLAP, outperforming existing methods.

Findings

Validated the approach theoretically and experimentally.

Demonstrated superiority over related methods.

Confirmed effectiveness with benchmark datasets.

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, 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.