BigCrypt for big data encryption

Abdullah Al Mamun, K. Salah, S. Al-Maadeed, T. Sheltami
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引用次数: 6

Abstract

as data size is growing up, cloud storage is becoming more familiar to store a significant amount of private information. Government and private organizations require transferring plenty of business files from one end to another. However, we will lose privacy if we exchange information without data encryption and communication mechanism security. To protect data from hacking, we can use Asymmetric encryption technique, but it has a key exchange problem. Although Asymmetric key encryption deals with the limitations of Symmetric key encryption it can only encrypt limited size of data which is not feasible for a large amount of data files. In this paper, we propose a probabilistic approach to Pretty Good Privacy technique for encrypting large-size data, named as “BigCrypt” where both Symmetric and Asymmetric key encryption are used. Our goal is to achieve zero tolerance security on a significant amount of data encryption. We have experimentally evaluated our technique under three different platforms.
BigCrypt用于大数据加密
随着数据量的增长,云存储越来越适合存储大量的私人信息。政府和私人组织需要将大量的商业文件从一端传输到另一端。但是,如果在没有数据加密和通信机制安全的情况下进行信息交换,我们将失去隐私。为了保护数据不被黑客攻击,我们可以使用非对称加密技术,但它有一个密钥交换问题。非对称密钥加密虽然解决了对称密钥加密的局限性,但它只能加密有限大小的数据,这对于大量的数据文件来说是不可行的。在本文中,我们提出了一种概率方法来加密大数据的相当好的隐私技术,称为“BigCrypt”,其中使用对称和非对称密钥加密。我们的目标是在大量数据加密上实现零容忍安全性。我们在三个不同的平台上对我们的技术进行了实验评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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