Open AccessBiometric template protection based on Bloom filters and honey templates
Author(s) -
Martiri Edlira,
GomezBarrero Marta,
Yang Bian,
Busch Christoph
Publication year - 2017
Publication title -
iet biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.434
H-Index - 28
eISSN - 2047-4946
pISSN - 2047-4938
DOI - 10.1049/iet-bmt.2015.0111
Subject(s) - computer science , biometrics , template , bloom filter , toolbox , computer security , information leakage , benchmark (surveying) , soundness , authentication (law) , data mining , computer network , geodesy , programming language , geography
Biometric verification can be considered one of the most reliable approaches to person authentication. However, biometrics are highly sensitive personal data and any information leakage poses severe security and privacy risks. Biometric templates should hence be protected and impersonation with stolen templates must be prevented, while preserving system's performance. In this study, a general biometric template protection scheme based on honey templates and Bloom filters is proposed, in order to grant privacy protection to the enrolled subject and detect the use of stolen templates. The performance and security evaluations show the soundness of the proposed scheme for facial verification. The benchmark is conducted with the publicly available BioSecure Multimodal DB and the free Bob image processing toolbox, so that research is fully reproducible.