Publication Type
Journal Article
Version
acceptedVersion
Publication Date
1-2023
Abstract
Keyword-based search over encrypted data is an important technique to achieve both data confidentiality and utilization in cloud outsourcing services. While commonly used access control mechanisms, such as identity-based encryption and attribute-based encryption, do not generally scale well for hierarchical access permissions. To solve this problem, we propose a Role-based Encrypted Keyword Search (REKS) scheme by using the role-based access control and broadcast encryption. Specifically, REKS allows owners to deploy hierarchical access control by allowing users with parent roles to have access permissions from child roles. Using REKS, we further facilitate token generation preprocessing and efficient user management, thereby significantly reducing the users' final token generation and index update overheads, respectively. Formal security analysis proves that REKS is secure against chosen keyword and internal keyword guessing attacks, and findings from the empirical evaluations demonstrate that REKS is efficient and practical.
Keywords
Access control, Access control, attribute-based encryption, Cloud computing, Encryption, identity-based encryption, Indexes, Keyword search, keyword-based search, role-based access control, Security, Servers
Discipline
Databases and Information Systems | Information Security
Research Areas
Cybersecurity
Publication
IEEE Transactions on Dependable and Secure Computing
First Page
1
Last Page
15
ISSN
1545-5971
Identifier
10.1109/TDSC.2023.3324640
Publisher
Institute of Electrical and Electronics Engineers
Citation
MIAO, Yibin; LI, Feng; JIA, Xiaohua; WANG, Huaxiong; LIU, Ximeng; CHOO, Kim-Kwang Raymond; and DENG, Robert H..
REKS: Role-based Encrypted Keyword Search with enhanced access control for outsourced cloud data. (2023). IEEE Transactions on Dependable and Secure Computing. 1-15.
Available at: https://ink.library.smu.edu.sg/sis_research/8268
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/TDSC.2023.3324640