# 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.

## Key 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.

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Source: https://tomesphere.com/paper/1701.05449