An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing
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, howev...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8325278/ |
| _version_ | 1818557094292357120 |
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| author | Liehuang Zhu Chuan Zhang Chang Xu Ximeng Liu Cheng Huang |
| author_facet | Liehuang Zhu Chuan Zhang Chang Xu Ximeng Liu Cheng Huang |
| author_sort | Liehuang Zhu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T23:55:30Z |
| format | Article |
| id | doaj.art-bc14286cacf84491806f236e8158c3b9 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T23:55:30Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-bc14286cacf84491806f236e8158c3b92022-12-21T23:26:34ZengIEEEIEEE Access2169-35362018-01-016190251903310.1109/ACCESS.2018.28191668325278An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud ComputingLiehuang Zhu0https://orcid.org/0000-0003-3277-3887Chuan Zhang1Chang Xu2https://orcid.org/0000-0002-9726-7232Ximeng Liu3Cheng Huang4School of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaSchool of Computer Science and Technology, Beijing Institute of Technology, Beijing, ChinaSchool of Information Systems, Singapore Management University, SingaporeDepartment of Electrical and Computer Engineering, University of Waterloo, Waterloo, CanadaBiometric 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.https://ieeexplore.ieee.org/document/8325278/Biometric identificationdata outsourcingprivacy-preservingcloud computing |
| spellingShingle | Liehuang Zhu Chuan Zhang Chang Xu Ximeng Liu Cheng Huang An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing IEEE Access Biometric identification data outsourcing privacy-preserving cloud computing |
| title | An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing |
| title_full | An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing |
| title_fullStr | An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing |
| title_full_unstemmed | An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing |
| title_short | An Efficient and Privacy-Preserving Biometric Identification Scheme in Cloud Computing |
| title_sort | efficient and privacy preserving biometric identification scheme in cloud computing |
| topic | Biometric identification data outsourcing privacy-preserving cloud computing |
| url | https://ieeexplore.ieee.org/document/8325278/ |
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