Research Article
Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data
@INPROCEEDINGS{10.1007/978-3-319-28910-6_1, author={Daudi Mashauri and Ruixuan Li and Hongmu Han and Xiwu Gu and Zhiyong Xu and Cheng-zhong Xu}, title={Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data}, proceedings={Collaborative Computing: Networking, Applications, and Worksharing. 11th International Conference, CollaborateCom 2015, Wuhan, November 10-11, 2015, China. Proceedings}, proceedings_a={COLLABORATECOM}, year={2016}, month={2}, keywords={Cloud computing Searchable encryption Multi-keyword query Ranked search Encrypted data}, doi={10.1007/978-3-319-28910-6_1} }- Daudi Mashauri
Ruixuan Li
Hongmu Han
Xiwu Gu
Zhiyong Xu
Cheng-zhong Xu
Year: 2016
Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data
COLLABORATECOM
Springer
DOI: 10.1007/978-3-319-28910-6_1
Abstract
To preserve data privacy and integrity, sensitive data has to be encrypted before outsourcing to the cloud server. However, this makes keyword search based on plaintext queries obsolete. Therefore, supporting efficient keyword based ranked searches over encrypted data became an open challenge. In recent years, several multi-keyword ranked search schemes have been proposed in trying to solve the posed challenge. However, most recently proposed schemes don’t address the issues regarding dynamics in the keyword dictionary. In this paper, we propose a novel scheme called A-MRSE that addresses and solves these issues. We introduce new algorithms to be used by data owners each time they make modifications that affects the size of the keyword dictionary. We conduct multiple experiments to demonstrate the effectiveness of our newly proposed scheme, and the results illustrates that the performance of A-MRSE scheme is much better that previously proposed schemes.
