SEMBA: secure multi‐biometric authentication
Author:
Affiliation:
1. Department of Information Engineering and MathematicsUniversity of SienaSienaItaly
2. Department of Computer, Control, and Management Engineering ‘Antonio Ruberti’Sapienza University of RomeRomeItaly
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Signal Processing,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-bmt.2018.5138
Reference64 articles.
1. Damgård I. Pastro V. Smart N. et al. : ‘Multiparty computation from somewhat homomorphic encryption’.Advances in Cryptology–CRYPTO 2012 California USA 2012 pp.643–662
2. Damgård I. Keller M. Larraia E. et al. : ‘Practical covertly secure MPC for dishonest majority–or: breaking the SPDZ limits’.European Symp. on Research in Computer Security Egham UK 2013 pp.1–18
3. Biometrics security and privacy protection [from the guest editors];Evans N.;IEEE Signal Process. Mag.,2015
4. Privacy‐preserving biometric identification using secure multiparty computation: an overview and recent trends;Bringer J.;IEEE Signal Process. Mag.,2013
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