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Authors: Julia Mader and Thomas Lorünser

Affiliation: AIT Austrian Institute of Technology, Vienna, Austria

Keyword(s): Multiparty Computation (MPC), Minutiae-Based Fingerprint Matching.

Abstract: While biometric data, such as fingerprints, are increasingly used for identification and authentication, their inability to be revoked once compromised raises privacy concerns. To mitigate these concerns, in this ongoing research, we explore the use of Multiparty Computation (MPC), which allows secure computations on encrypted data, as an option for privacy-preserving fingerprint matching. Despite MPC’s known drawback of slowing down computation, recent advancements make it a viable option for real-world applications. Our research focuses on implementing and optimizing a minutiae-based fingerprint matching algorithm with MPC, addressing the challenge of maintaining privacy while ensuring reasonable computation times. We present our implementation using SourceAFIS optimized for MPC and evaluate its performance to assess if current protocols are ready for deployment in time critical scenarios. Preliminary results show promise, emphasizing our ongoing research to achieve a fully-fledged MPC implementation with high accuracy. (More)

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Paper citation in several formats:
Mader, J. and Lorünser, T. (2024). Feasibility of Privacy Preserving Minutiae-Based Fingerprint Matching. In Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-683-5; ISSN 2184-4356, SciTePress, pages 899-906. DOI: 10.5220/0012472300003648

@conference{icissp24,
author={Julia Mader and Thomas Lorünser},
title={Feasibility of Privacy Preserving Minutiae-Based Fingerprint Matching},
booktitle={Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP},
year={2024},
pages={899-906},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012472300003648},
isbn={978-989-758-683-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP
TI - Feasibility of Privacy Preserving Minutiae-Based Fingerprint Matching
SN - 978-989-758-683-5
IS - 2184-4356
AU - Mader, J.
AU - Lorünser, T.
PY - 2024
SP - 899
EP - 906
DO - 10.5220/0012472300003648
PB - SciTePress