Title
Dynamic Multi-Phrase Ranked Search over Encrypted Data with Symmetric Searchable Encryption
Abstract
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.
Year
DOI
Venue
2020
10.1109/TSC.2017.2768045
IEEE Transactions on Services Computing
Keywords
DocType
Volume
Phrase search,ranked search,symmetric searchable encryption,cloud storage
Journal
13
Issue
ISSN
Citations 
6
1939-1374
7
PageRank 
References 
Authors
0.42
0
6
Name
Order
Citations
PageRank
Cheng Guo1479.84
Xue Chen280.89
Yingmo Jie3343.59
Zhangjie Fu440519.78
Mingchu Li546978.10
Bin Feng670.42