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
Dynamic Multi-Phrase Ranked Search over Encrypted Data with Symmetric Searchable Encryption
点击次数:
论文类型:期刊论文
发表时间:2021-01-10
发表刊物:IEEE TRANSACTIONS ON SERVICES COMPUTING
卷号:13
期号:6
页面范围:1034-1044
ISSN号:1939-1374
关键字:Encryption; Cloud computing; Indexes; Servers; Keyword search; Phrase search; ranked search; symmetric searchable encryption; cloud storage
摘要:As cloud computing becomes prevalent, more and more data owners are likely to outsource their data to a cloud server. However, to ensure privacy, the data should be encrypted before outsourcing. Symmetric searchable encryption allows users to retrieve keyword over encrypted data without decrypting the data. Many existing schemes that are based on symmetric searchable encryption only support single keyword search, conjunctive keywords search, multiple keywords search, or single phrase search. However, some schemes, i.e., static schemes, only search one phrase in a query request. In this paper, we propose a multi-phrase ranked search over encrypted cloud data, which also supports dynamic update operations, such as adding or deleting files. We used an inverted index to record the locations of keywords and to judge whether the phrase appears. This index can search for keywords efficiently. In order to rank the results and protect the privacy of relevance score, the relevance score evaluation model is used in searching process on client-side. Also, the special construction of the index makes the scheme dynamic. The data owner can update the cloud data at very little cost. Security analyses and extensive experiments were conducted to demonstrate the safety and efficiency of the proposed scheme.