RLWE-based ciphertext-policy attribute proxy re-encryption

En ZHANG; Yaoyao PEI; Jiao DU

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

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RLWE-based ciphertext-policy attribute proxy re-encryption

Papers | 更新时间：2024-06-05

- RLWE-based ciphertext-policy attribute proxy re-encryption
- Journal on Communications Vol. 39, Issue 11, Pages: 129-137(2018)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(U1604156);The National Natural Science Foundation of China(61772176);The National Natural Science Foundation of China(61602158);Science and Technology Research Project of Henan Province(172102210045)
- DOI：10.11959/j.issn.1000-436x.2018239
  CLC： TP309.2
- Online First：2018-11，
  
  Published：25 November 2018
- 稿件说明：
移动端阅览
En ZHANG, Yaoyao PEI, Jiao DU. RLWE-based ciphertext-policy attribute proxy re-encryption[J]. Journal on Communications, 2018, 39(11): 129-137.
DOI：

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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Keywords

references

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