混合云下面向隐私保护的访问控制方法

屠袁飞; 夏峰; 杨庚

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混合云下面向隐私保护的访问控制方法

更新时间：2026-09-04

- 混合云下面向隐私保护的访问控制方法
- Privacy-preserving Ciphertext-Policy Attribute-Based Encryption in Hybrid Cloud
- 微电子学与计算机 2016年33卷第10期页码：53-58
- 作者机构：
  
  1. 南京工业大学机构计算机科学与技术学院,江苏,南京,211816
  2. 南京邮电大学机构计算机学院,江苏,南京,210003
  3. 江苏省无线传感网高技术研究重点实验室机构,江苏,南京,210003
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目 61572263国家自然科学基金资助项目 61272084江苏省高校自然科学研究重大项目 11KJA520002高等学校博士学科点专项科研基金资助课题 20113223110003
- DOI：
  中图分类号：
- 纸质出版：2016
- 稿件说明：
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屠袁飞, 夏峰, 杨庚. 混合云下面向隐私保护的访问控制方法[J]. 微电子学与计算机, 2016, 33(10): 53-58.

TU Yuan-fei, XIA Feng, YANG Geng. Privacy-preserving Ciphertext-Policy Attribute-Based Encryption in Hybrid Cloud[J]. 2016, 33(10): 53-58.
屠袁飞, 夏峰, 杨庚. 混合云下面向隐私保护的访问控制方法[J]. 微电子学与计算机, 2016, 33(10): 53-58. DOI：

TU Yuan-fei, XIA Feng, YANG Geng. Privacy-preserving Ciphertext-Policy Attribute-Based Encryption in Hybrid Cloud[J]. 2016, 33(10): 53-58. DOI：

摘要

基于属性的加密(Attribute-based encryption

ABE)已被广泛研究

其支持细粒度的访问控制可用来共享数据

然而存储容量大以及计算开销大使其难以得到广泛运用.将现有的支持属性匿名的ABE算法的密文数据进行分割并分别存储在不同的云环境中

用于匹配且计算量与存储量小的部分存储在私有云中

利用先匹配后解密的思路提高系统的整体运行效率.从正确性、安全性以及复杂性等方面做出证明

通过与以往的部分ABE算法进行对比以及给出的具体实验说明方案的可行性.

Abstract

Attribute-based encryption(ABE) has been widely studied recently to support fine-grained access control of shared data

but the file size and cost of computing make it hard to be widely used.This paper aims to solve the problem using hybrid cloud. This paper modify the existing privacy-preserving method to store some message with small size and low computing cost in the private cloud for matching

users could decrypt the file in the public cloud only after the matching phase under the "match-then-decrypt" method. The proposed construction is proven to be secure and the experiment result shows the solution is efficient and practical.

关键词

Keywords

references

Han J G, Susilo W, Mu Y, et al. Improving privacy and security in decentralized ciphertext-policy attribute-based encryption[J]. IEEE Transactions on Information Forensics and Security, 2015, 10(3): 665-678. DOI: 665

Zhang Y H, Chen X F, Li J, et al. Anonymous attribute-based encryption supporting efficient decryption test[C]//ACM Conference on Computer and Communications Security. NY, USA: ACM, 2013: 511-516.

Li J W, Li J, Chen X F, et al. Privacy-preserving data utilization in hybrid clouds[J]. Future Generation Computer System, 2014, 30(1): 98-106. DOI: 98

Goyal V, Pandey O, Sahai A, et al. Attribute-Based encryption for fine-grained access control of encrypted data[C]//Computer and Communications Security Conference. New York: ACM, 2006: 89-98.

Zhang K, Zhou X, Chen Y, et al. Sedic: Privacy-aware data intensive computing on hybrid clouds[C]//Acm Conference on Computer % Communications Security. New York: ACM, 2011: 515-525.

Zhou Z G, Zhang H L, Du X J, et al. Prometheus: Privacy-aware data retrieval on hybrid cloud[C]//INFOCOM. Turin: IEEE, 2013: 2643-2651.

Bethencourt J, Sahai A, Waters B. Ciphertext-Policy attribute-based encryption[C]//IEEE Symposium on Security and Privacy. Berkeley: IEEE, 2007: 321-334.

Qin X J, Li H X, Wu C, et al. Cost-minimizing dynamic migration of content distribution services into hybrid clouds[J]. Parallel and Distributed Systems, IEEE Transactions on, 2015, 26(12): 3330-3345. DOI: 3330

Zhou Z B, Huang D J, Wang Z J. Efficient privacy preserving ciphertext-policy attribute based-encryption and broadcast encryption[J]. IEEE Transactions on Computers, 2015, 64(1): 126-138. DOI: 126

Yu S C, Wang C, Ren K, et al. Achieving secure, scalable, and fine-grained data access control in cloud computing[C]//INFOCOM. Piscataway: IEEE, 2010: 534-542.

Zhu Y, Huang DJ, Hu C J, et al. From RBAC to ABAC: Constructing flexible data access control for cloud storage services[J]. IEEE Transactions on Services Computing, 2014, 8(4): 601-616. DOI: 601

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