Multi-keyword search over encrypted data with user revocation

Qi-ying WU; Jian-feng MA; Hui LI; Jun-wei ZHANG; Qi JIANG; Yin-bin MIAO

doi:10.11959/j.issn.1000-436x.2017094

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Multi-keyword search over encrypted data with user revocation

Correspondences | 更新时间：2024-06-05

- Multi-keyword search over encrypted data with user revocation
- Journal on Communications Vol. 38, Issue 8, Pages: 183-193(2017)
- 作者机构：
  
  1. 西安电子科技大学网络与信息安全学院，陕西西安 710071
  2. 西安电子科技大学通信工程学院，陕西西安 710071
- 作者简介：
- 基金信息：
  
  The National High Technology Research and Development Program (863 Program)(2015AA016007);The National Natural Science Foundation of China(61472310);The National Natural Science Foundation of China(61672413);The Fundamenta1 Research Funds for the Centra1 Universities(JBG161511)
- DOI：10.11959/j.issn.1000-436x.2017094
  CLC： TN918.4
- Online First：2017-08，
  
  Published：25 August 2017
- 稿件说明：
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Qi-ying WU, Jian-feng MA, Hui LI, et al. Multi-keyword search over encrypted data with user revocation[J]. Journal on Communications, 2017, 38(8): 183-193.
DOI：

Qi-ying WU, Jian-feng MA, Hui LI, et al. Multi-keyword search over encrypted data with user revocation[J]. Journal on Communications, 2017, 38(8): 183-193. DOI： 10.11959/j.issn.1000-436x.2017094.

摘要

在密文策略的属性加密技术上提出一种支持文件级别的访问授权和数据用户撤销的多关键字密文查询方案。该方案在多数据拥有者多数据用户的场景下不仅支持文件级别的访问授权，即数据用户能够获取不同数据拥有者用不同密钥加密的密文，而且该方案能实现数据用户撤销。该方案在随机预言模型下是抗选择关键字攻击的，且基于实际数据集的实验结果表明方案在实际应用中是可行的、高效的。

Abstract

A mu1ti-keyword search over encrypted data was proposec1 with fi1e-1eve1 access authorization and data user revocation scheme through emp1oying ciphertext-po1icy attribute-based encryption（CP-ABE）.The scheme supports fi1e-1eve1 access authorization in the mu1ti-owner mu1ti-user settings，which means that data users cou1d on1y gain the authorized fi1es encrypted by different data owners with different keys.Moreover，the scheme cou1d achieve data user revocation.Forma1 security ana1ysis shows that the proposed scheme cou1d resist the chosen keyword attack in random orac1e.Moreover，the experimenta1 study over rea1-wor1d dataset demonstrates its efficiency and feasibi1ity in practice.

关键词

Keywords

references

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