Authors
Rahul Chatterjee, M Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels
Publication date
2019/11/6
Book
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security
Pages
1171-1186
Description
Biometric authentication is increasingly being used for large scale human authentication and identification, creating the risk of leaking the biometric secrets of millions of users in the case of database compromise. Powerful "fuzzy" cryptographic techniques for biometric template protection, such as secure sketches, could help in principle, but go unused in practice. This is because they would require new biometric matching algorithms with potentially much diminished accuracy. We introduce a new primitive called a multisketch that generalizes secure sketches. Multisketches can work with existing biometric matching algorithms to generate strong cryptographic keys from biometric data reliably. A multisketch works on a biometric database containing multiple biometrics --- e.g., multiple fingerprints --- of a moderately large population of users (say, thousands). It conceals the correspondence between users and their …
Total citations
20202021202220238416
Scholar articles
R Chatterjee, MS Riazi, T Chowdhury, E Marasco… - Proceedings of the 2019 ACM SIGSAC Conference on …, 2019