Publication Type
Journal Article
Version
acceptedVersion
Publication Date
5-2022
Abstract
Outsourcing encrypted data to cloud servers that has become a prevalent trend among Internet users to date. There is a long list of advantages on data outsourcing, such as the reduction cost of local data management. How to securely operate encrypted data (remotely), however, is the top-rank concern over data owner. Liang et al. proposed a novel encrypted cloud-based data share and search system without loss of privacy. The system allows users to flexibly search and share encrypted data as well as updating keyword field. However, the search complexity of the system is of extreme inefficiency, O(nd), where d is the total number of system files and n is the size of query formula. This article, for the first time, leverages the "oblivious cross search" technology in public key searchable encryption context to reduce the search complexity to only O(nf(w)), where f(w) is the number of files embedded with the "least frequent keyword" w. The new scheme maintains efficient encrypted data share and keyword field update as well. This article further revisits the security models for payload security, keyword privacy and search token privacy (i.e., search pattern privacy) and meanwhile, presents security and efficiency analysis for the new scheme.
Keywords
Secure data search, share, flexible query, update, efficiency
Discipline
Information Security
Research Areas
Cybersecurity
Publication
IEEE Transactions on Services Computing
Volume
15
Issue
3
First Page
1619
Last Page
1633
ISSN
1939-1374
Identifier
10.1109/TSC.2020.3004988
Publisher
IEEE
Citation
NING, Jianting; CHEN, Jiageng; LIANG, Kaitai; LIU, Joseph K.; SU, Chunhua; and WU, Qianhong.
Efficient encrypted data search with expressive queries and flexible update. (2022). IEEE Transactions on Services Computing. 15, (3), 1619-1633.
Available at: https://ink.library.smu.edu.sg/sis_research/7828
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/TSC.2020.3004988