郭成

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:软件学院、大连理工大学-立命馆大学国际信息与软件学院副院长

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:软件学院、国际信息与软件学院

学科:软件工程. 计算机应用技术

联系方式:guocheng@dlut.edu.cn

电子邮箱:guocheng@dlut.edu.cn

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

A Privacy Preserving Similarity Search Scheme over Encrypted High-Dimensional Data for Multiple Data Owners

点击次数:

论文类型:会议论文

发表时间:2018-01-01

收录刊物:CPCI-S

卷号:11064

页面范围:484-495

关键字:Searchable encryption; Multiple data owners; Similarity search

摘要:Cloud computing has become increasingly popular because of the benefits it provides. However, the security of the data stored in a remote cloud has become a major concern. For privacy concerns, searchable encryption (SE), which supports searching over encrypted data, has been proposed and developed rapidly in secure Boolean search and similarity search. However, most SE schemes can only support single data owner which is opposite to the condition in the cloud environment. In this paper, we employed locality-sensitive hashing (LSH) and bilinear map to deal with a privacy preserving similarity search for multiple data owners. In our scheme, data users can encrypt their data using their own secret keys. And the data users can perform the similarity search without knowing any information about the secret keys which belong to the data owners. We formally analyzed the security strength of our scheme. Extensive experiments on actual datasets showed that our scheme is extremely effective and efficient.