云环境下一种强隐私保护的安全Top-k查询方案

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

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.

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.