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Implementation of Fixed-Length Template Protection Based on Homomorphic Encryption with Application to Signature Biometrics

Marta Gomez-Barrero, Julian Fiérrez, Javier Galbally, Emanuele Maiorana, Patrizio Campisi
CVPRW 2016 pp. 259-266
doi:10.1109/CVPRW.2016.39 /cvprw/2016/gomezbarrero2016cvprw-implementation/

Abstract

Given the high sensitivity of biometric data, any information leakage poses severe security and privacy risks. This fact raises the need to protect biometric templates so that no information can be learned from them, preserving at the same time the unprotected system's performance and speed. We propose a new effcient biometric template protection scheme based on homomorphic probabilistic encryption for fixed-length templates, where only encrypted data is handled. Under a fully reproducible experimental framework, we analyse different distance measures for the particular case of on-line signature, showing that all requirements described in the ISO/IEC 24745 standard on biometric information protection are met with no performance degradation and at a low computational cost. Further-more, the proposed approach is robust to hill-climbing and inverse-biometrics attacks.

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Cite

Text

Gomez-Barrero et al. "Implementation of Fixed-Length Template Protection Based on Homomorphic Encryption with Application to Signature Biometrics." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.39

Markdown

[Gomez-Barrero et al. "Implementation of Fixed-Length Template Protection Based on Homomorphic Encryption with Application to Signature Biometrics." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/gomezbarrero2016cvprw-implementation/) doi:10.1109/CVPRW.2016.39

BibTeX

@inproceedings{gomezbarrero2016cvprw-implementation,
  title     = {{Implementation of Fixed-Length Template Protection Based on Homomorphic Encryption with Application to Signature Biometrics}},
  author    = {Gomez-Barrero, Marta and Fiérrez, Julian and Galbally, Javier and Maiorana, Emanuele and Campisi, Patrizio},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2016},
  pages     = {259-266},
  doi       = {10.1109/CVPRW.2016.39},
  url       = {https://mlanthology.org/cvprw/2016/gomezbarrero2016cvprw-implementation/}
}