吉首大学学报(自然科学版) ›› 2023, Vol. 44 ›› Issue (3): 13-28.DOI: 10.13438/j.cnki.jdzk.2023.03.003

• 计算机与通信 • 上一篇    下一篇

云环境下一种强隐私保护的安全Top-k查询方案

崔韶刚,尹辉,周春光   

  1. (长沙学院网络中心,湖南 长沙 410003)
  • 出版日期:2023-05-25 发布日期:2023-06-16
  • 通讯作者: 尹辉(1978—),男,湖南慈利人,长沙学院网络中心副教授,博士,主要从事网络安全与密码学研究.
  • 作者简介:崔韶刚(1966—),男,甘肃通渭人,长沙学院网络中心实验师,硕士,主要从事计算机网络、网络与信息安全研究
  • 基金资助:
    国家自然科学基金资助项目(61972058);湖南省自然科学基金资助项目(2021JJ30760)

Secure Top-k Query Scheme with Strong Privacy Protection in Cloud Computing Environment

CUI Shaogang,YIN Hui,ZHOU Chunguang   

  1. (Network Center,Changsha University,Changsha 410003,China)
  • Online:2023-05-25 Published:2023-06-16

摘要:在一个多用户应用场景下,为了防止云勾结一个数据拥有者或一个数据使用者对授权用户的查询隐私进行合谋攻击,构建了云计算环境下针对查询隐私的合谋威胁模型,并实现了一种高效的强隐私保护查询方案.方案采用动态的安全查询索引结构,该结构可以保证外包数据的安全性,且适用于数据文件频繁动态更新的多用户环境,极大地提高了系统的可伸缩性和可用性.为了满足用户的个性化查询需求,依据关键字权重对查询结果进行秘密相关性排序,实现了安全的top-k查询.

关键词: 云计算, 安全索引, 隐私保护, top-k查询

Abstract: In a multi-user application scenario,the cloud can collude with a data owner or a data user to infer an authorized user's query contents.In this paper,we first present the collusion attack model in cloud environments and implement an efficient and strongly privacy protective search scheme.This scheme employs dynamical and secure searchable index construction which not only guarantees the data confidentiality but also extremely fits into the multi-user cloud computing environments where data files are dynamically uploaded frequently,enhancing the availability and scalability of the whole system greatly as well.In addition,in order to satisfy users' individual search requirements,our scheme supports secure relevance ranking for query results according to keyword weight,thus implementing secure top-k query.

Key words: cloud computing, secure index, strong privacy protection, threat model, top-k query

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