Privacy Preserving Bio-Metric Authentication ...

Privacy Preserving Bio-Metric Authentication Using Bio-Honeys for BTP

Author Name : Lav Sahay, Keerthi Satya Sai Sriram, Pasupuleti Jaya Veera Venkata Sai Ram, Kattekota Krishnadevaraya

ABSTRACT

Biometric verification can be measured one of the most reliable approaches to person authentication. However, biometrics are extremely sensitive personal data and any information seepage poses severe security and privacy risks. Biometric templates should hence be secluded and masquerade with stolen templates must be prohibited, while preserving system's performance. In this study, a general biometric template protection scheme established on honey templates and Bloom filters is organised, in order to grant privacy protection to the enrolled subject and notice the use of stolen templates. The efficiency & security enhancements derive the dependability of the new system for finger authentication. The benchmark is conducted with the publicly available Bio Secure Multimodal DB and the free Bob image processing toolbox, so that research is fully reproducible.

Index Terms:  Big data, data analytics, internet of things (Iota), cloud computing, edge, computing, fog computing