CCS '99 Proceedings of the 6th ACM conference on Computer and communications security
Generating Cancelable Fingerprint Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Vulnerabilities in biometric encryption systems
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
A 3D face recognition algorithm using histogram-based features
EG 3DOR'08 Proceedings of the 1st Eurographics conference on 3D Object Retrieval
| Hi-index | 0.01 |
Biometric features provide considerable usability benefits. At the same time, the inability to revoke templates and likelihood of adversaries being able to capture features raise security concerns. Recently, several template protection mechanisms have been proposed, which provide a one-way mapping of templates onto multiple pseudo-identities. While these proposed schemes make assumptions common for cryptographic algorithms, the entropy of the template data to be protected is considerably lower per bit of key material used than assumed owing to correlations arising from the biometric features. We review several template protection schemes and existing attacks followed by a correlation analysis for a selected biometric feature set and demonstrate that these correlations leave the stream cipher mechanism employed vulnerable to, among others, known plaintext-type attacks.