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A Big Data Storage Scheme Based on Distributed Storage Locations and Multiple Authorizations

机译:基于分布式存储位置和多授权的大数据存储方案

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This paper introduces a secured and distributed Big Data storage scheme with multiple authorizations. It divides the Big Data into small chunks and distributes them through multiple Cloud locations. The Shamir's Secret Sharing and Secure Hash Algorithm are employed to provide the security and authenticity of this work. The proposed methodology consists of two phases: the distribution and retrieving phases. The distribution phase comprises three operations of dividing, encrypting, and distribution. The retrieving phase performs collecting and verifying operations. To increase the security level, the encryption key is divided into secret shares using Shamir's Algorithm. Moreover, the Secure Hash Algorithm is used to verify the Big Data after retrieving from the Cloud. The experimental results show that the proposed design can reconstruct a distributed Big Data with good speed while conserving the security and authenticity properties.
机译:本文介绍了一种具有多个授权的安全的分布式大数据存储方案。它将大数据分成小块,并通过多个云位置进行分配。 Shamir的秘密共享和安全哈希算法用于提供这项工作的安全性和真实性。所提出的方法包括两个阶段:分发和检索阶段。分发阶段包括划分,加密和分发三个操作。检索阶段执行收集和验证操作。为了提高安全级别,使用Shamir算法将加密密钥划分为秘密份额。此外,安全哈希算法用于从云中检索后验证大数据。实验结果表明,所提出的设计可以在保证安全性和真实性的同时,以良好的速度重建分布式大数据。

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