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Achieve distributed, scalable and effective access control in cloud storage services

机译:在云存储服务中实现分布式,可扩展和有效的访问控制

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Cloud storage services enable users to remotely store their data and conveniently share their information. One critical issue is how to achieve data security and realize data access policy in cloud storage services. Existing schemes based on Ciphertext-Policy Attribute-Based Encryption (CP-ABE) have been proposed to achieve secure access control for outsourced data in cloud computing. However, due to the inefficiency of decryption and the inflexibility, most of these schemes are not suitable to realize distributed access control for cloud storage systems. In this paper, we propose a fully distributed, scalable and effective data access control scheme to encrypt and decrypt data, which bases on the lowest density maximum distance separable (LD-MDS) code.The introduction of the LD-MDS code in this field improves performance greatly in decryption stage. Security analysis indicates that the proposed scheme is secure and achieves fine-grained access control, collusion resistant, backward security and forward security simultaneously. Extensive performance analysis and experiment show that our scheme is much more efficient than existing CP-ABE system in cloud storage services.
机译:云存储服务使用户能够远程存储数据,并方便地分享其信息。一个关键问题是如何实现数据安全性并在云存储服务中实现数据访问策略。已经提出了基于密文 - 策略属性的加密(CP-ABE)的现有方案,以实现云计算中的外包数据的安全访问控制。然而,由于解密的效率低,并且大多数这些方案不适合于实现云存储系统的分布式访问控制。在本文中,我们提出了一种完全分布的,可扩展和有效的数据访问控制方案来加密和解密数据,该数据基于最低密度最大距离可分离(LD-MDS)代码。在此字段中引入LD-MDS代码在解密阶段大大提高性能。安全性分析表明,所提出的方案是安全的,并同时实现细粒度的访问控制,串行,抵抗,前向安全性。广泛的性能分析和实验表明,我们的计划比云存储服务中现有的CP-ABE系统更有效。

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