Journal
INFORMATION SCIENCES
Volume 595, Issue -, Pages 334-343Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2022.03.001
Keywords
Order preserving encryption; Range query; Multi-dimensional data
Categories
Funding
- National Natural Science Foundation of China [U19B2021, 61972457]
- Key Research and Development Program of Shaanxi [2020ZDLGY08-04]
- Innovation Scientists and Technicians Troop Construction Projects of Henan Province
Ask authors/readers for more resources
This paper proposes a multi-dimensional data order preserving encryption scheme MDOPE, which allows fine-grained multi-dimensional range queries.
Nowadays, tremendous information technology industries resort to cloud servers to store data with an outsourcing approach to extend their storage and computation power. This, however, also leads to privacy and security issues of unprotected data against curious cloud servers. The most common solution currently is to encrypt the data before uploading it. The problem is that encrypted data is out of control and users also cannot transfer the searching job to cloud serves anymore. Specifically, the order preserving encryption (OPE) provides an efficient solution to the order of plaintexts. Existing OPE schemes focus on single-dimensional data, and fail to effectively process multi-dimensional data. In this paper, we propose a multi-dimensional data order preserving encryption scheme MDOPE allowing fine-grained multi-dimensional range queries. Our scheme constructs query indexes for each dimension of the data based on the order preserving encryption network. In particular, the proposed scheme ensures that no external entity, including the cloud server, can obtain additional information other than the order of ciphertexts during the whole query process.(C) 2022 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available