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.
翻译:云计算有助于降低成本,提高业务灵活性,并采用对包括数据仓库和在线分析处理在内的多种应用的投资回报高的解决办法,包括数据仓和在线分析处理。然而,将敏感数据储存和传输到云层引起合理的安全关切。在本文件中,我们提议采用新的多秘密共享办法,在云层部署数据仓,允许在线分析处理,同时加强数据的隐私、完整性和可用性。我们首先验证我们的方法在理论上的相关性,然后先用简单的随机数据集和Star Schema基准进行实验。我们还证明了它优于相关方法。