基于RLWE的密文策略属性代理重加密

张恩; 裴瑶瑶; 杜蛟

doi:10.11959/j.issn.1000-436x.2018239

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基于RLWE的密文策略属性代理重加密

学术论文 | 更新时间：2024-06-05

- 基于RLWE的密文策略属性代理重加密
- RLWE-based ciphertext-policy attribute proxy re-encryption
- 通信学报 2018年39卷第11期页码：129-137
- 作者机构：
  
  1. 河南师范大学计算机与信息工程学院，河南新乡 453007
  2. “智慧商务与物联网技术”河南省工程实验室，河南新乡 453007
  3. 河南师范大学数学与信息科学学院，河南新乡 453007
- 作者简介：
  
  [ "张恩（1974−），男，河南新乡人，博士，河南师范大学副教授、硕士生导师，主要研究方向为密码协议、隐私保护、云计算安全。" ]
  [ "裴瑶瑶（1992−），男，河南南阳人，河南师范大学硕士生，主要研究方向为密码协议。" ]
  [ "杜蛟（1978−），男，湖北英山人，博士，河南师范大学讲师，主要研究方向为密码学与应用数学。" ]
- 基金信息：
  
  国家自然科学基金资助项目(U1604156);国家自然科学基金资助项目(61772176);国家自然科学基金资助项目(61602158);河南省科技攻关基金资助项目(172102210045)
- DOI：10.11959/j.issn.1000-436x.2018239
  中图分类号： TP309.2
- 网络首发：2018-11，
  
  纸质出版：2018-11-25
- 稿件说明：
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张恩, 裴瑶瑶, 杜蛟. 基于RLWE的密文策略属性代理重加密[J]. 通信学报, 2018,39(11):129-137.

En ZHANG, Yaoyao PEI, Jiao DU. RLWE-based ciphertext-policy attribute proxy re-encryption[J]. Journal on Communications, 2018, 39(11): 129-137.
张恩, 裴瑶瑶, 杜蛟. 基于RLWE的密文策略属性代理重加密[J]. 通信学报, 2018,39(11):129-137. DOI： 10.11959/j.issn.1000-436x.2018239.

En ZHANG, Yaoyao PEI, Jiao DU. RLWE-based ciphertext-policy attribute proxy re-encryption[J]. Journal on Communications, 2018, 39(11): 129-137. DOI： 10.11959/j.issn.1000-436x.2018239.

摘要

针对现有基于 LWE 的代理重加密方案存在无法实现细粒度访问及效率低的问题，结合线性秘密共享方案、RLWE和属性加密，提出一种密文策略属性代理重加密方案。该方案可以缩短密钥尺寸、减小密文空间、提高加解密效率，同时利用线性秘密共享矩阵作为访问矩阵，满足授权人细粒度委托控制的需求，抵抗代理服务器和被授权人之间的合谋。安全分析表明，在基于RLWE假设的标准模型下，所提方案是安全的。

Abstract

To solve LWE-based proxy re-encryption schemes cannot achieve fine-grained access and low efficiency problem

a ciphertext-policy attribute-based proxy re-encryption scheme was proposed.The scheme based on linear secret sharing scheme

RLWE and attribute encryption could shorten the key size

reduce the ciphertext space and improve the efficiency of encryption and decryption.At the same time

the linear secret sharing matrix was used as an access matrix to meet the requirements of authorized person fine-grained commissioning control and to resist the collusion between the agent and the authorized person.In addition

the proposed scheme is shown to be secure under the ring learning with errors assumption in the standard model.

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references

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