Title :
Analysis of multi-biometric encryption at feature-level fusion
Author :
Fu, Bo ; Lin, Jie ; Duan, Guiduo
Author_Institution :
Sch. of Comput. Sci. & Eng. (SCSE), Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
Abstract :
The basic concepts and methods on performance and effectiveness evaluations at the feature-level fusion model of multi-biometric encryption are concentrated on in this paper. From the cryptographic theory point of view, firstly, the formal definitions related to multi-biometric cryptosystems are formulated. Under some extreme conditions, the security and privacy of multi-biometric cryptosystems at the feature level are analyzed and rigorously proved. Finally, a close relationship between security and privacy and the fundamental tradeoff between the accuracy and security are studied.
Keywords :
biometrics (access control); cryptography; data privacy; cryptographic theory; feature level fusion; multibiometric cryptosystem; multibiometric encryption; privacy; security; Accuracy; Biometrics (access control); Cryptography; Entropy; Fingerprint recognition; Privacy; Biometrics; Encryption; Security;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359343
