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A new technique to partition and manage data security in cloud databases

机译:在云数据库中分区和管理数据安全性的新技术

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Cloud computing has brought many advantages to companies and computer users. It allows different service providers to distribute many applications as services in an economical way. Therefore, many users and companies have begun using cloud computing. However, they are concerned about their data when they store it on a third party, the cloud. Fears of leakage of sensitive data or loss of privacy make the adoption of cloud services less attractive for organizations. In this paper an algorithm is presented to protect a table in a database from any leakage. We have developed a model with a view to offer secure data management capability in cloud databases. The model distributes and scatters the data over the cloud or data center in order to protect it from any leakage. Also, it explains the idea of sending the entire domain of the sensitive table into the cloud. In addition, to increase security, the algorithm is designed to store each sensitive data in a different table with a different code and store this code at the client site. Furthermore, a new technique has been designed to collect the data from the cloud by using the bipartite matching algorithm to minimize load costs.
机译:云计算为公司和计算机用户带来了许多优势。它允许不同的服务提供商以经济的方式将许多应用程序作为服务分发。因此,许多用户和公司已经开始使用云计算。但是,当他们将数据存储在第三方(云)上时,他们会担心自己的数据。由于担心敏感数据的泄漏或隐私的丢失,使得采用云服务对组织的吸引力下降。在本文中,提出了一种算法来保护数据库中的表免受任何泄漏。我们开发了一种模型,旨在在云数据库中提供安全的数据管理功能。该模型将数据分布和分散在云或数据中心上,以防止数据泄漏。此外,它还解释了将敏感表的整个域发送到云中的想法。另外,为了提高安全性,该算法旨在将每个敏感数据以不同的代码存储在不同的表中,并将此代码存储在客户端站点上。此外,已经设计了一种新技术,该技术通过使用二分匹配算法从云中收集数据,以最大程度地减少负载成本。

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