Publication Type
Journal Article
Version
publishedVersion
Publication Date
3-2018
Abstract
Biometric identification has become increasingly popular in recent years.With the development of cloud computing, database owners are motivated to outsource the large size of biometric data and identification tasks to the cloud to get rid of the expensive storage and computation costs, which, however, brings potential threats to users’ privacy. In this paper, we propose an efficient and privacy-preserving biometric identification outsourcing scheme. Specifically, the biometric: To execute a biometric identification, the database owner encrypts the query data and submits it to the cloud. The cloud performs identification operations over the encrypted database and returns the result to the database owner. A thorough security analysis indicates that the proposed scheme is secure even if attackers can forge identification requests and collude with the cloud. Compared with previous protocols, experimental results show that the proposed scheme achieves a better performance in both preparation and identification procedures.
Keywords
Biometric identification, cloud computing, data outsourcing, privacy-preserving
Discipline
Information Security
Research Areas
Cybersecurity
Publication
IEEE Access
Volume
6
First Page
19025
Last Page
19033
ISSN
2169-3536
Identifier
10.1109/ACCESS.2018.2819166
Publisher
Institute of Electrical and Electronics Engineers (IEEE): OAJ / IEEE
Citation
ZHU, Liehuang; ZHANG, Chuan; XU, Chang; LIU, Ximeng; and HUANG, Cheng.
An efficient and privacy-preserving biometric identification scheme in cloud computing. (2018). IEEE Access. 6, 19025-19033.
Available at: https://ink.library.smu.edu.sg/sis_research/4863
Copyright Owner and License
Publisher
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/ACCESS.2018.2819166