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On Massive Data Storage Security in Cloud Computing with RaptorQ codes

机译:ratporq代码云计算中的大规模数据存储安全性研究

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摘要

The security is one of the most important issues which the wide applications of cloud computing. In this paper, we propose a new storage architecture to enhance the massive data storage security of cloud computing by using RaptorQ codes, which is able to provide relatively high-level information access, transfer, data availability, integrity, and confidentiality. The architecture can adjust the sector availability, data confidentiality and data integrity flexibly by setting number of storage nodes and amount of data stored by individual nodes parameters. Performance analysis and experimental results show that our presented RaptorQ codes based storage architecture is capable of achieving high sector availability, data confidentiality and data integrity at low storage, computing and communication costs.
机译:安全是云计算广泛应用的最重要问题之一。在本文中,我们提出了一种新的存储体系结构,通过使用RaptorQ代码来增强云计算的大规模数据存储安全性,能够提供相对高级别的信息访问,传输,数据可用性,完整性和机密性。通过设置单个节点参数存储的数据数和数据量来灵活地调整扇区可用性,数据机密性和数据完整性。性能分析和实验结果表明,我们所呈现的基于RAPTORQ代码的存储架构能够以低存储,计算和通信成本实现高扇区可用性,数据机密性和数据完整性。

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