Visible to the public Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption

TitlePrivacy-Preserving Palm Print Authentication Using Homomorphic Encryption
Publication TypeConference Paper
Year of Publication2016
AuthorsIm, Jong-Hyuk, Choi, JinChun, Nyang, DaeHun, Lee, Mun-Kyu
PublisherIEEE
ISBN Number978-1-5090-4065-0
Keywordsandroid, android encryption, Collaboration, composability, Encryption, Human Behavior, Metrics, pubcrawl, Resiliency, Scalability
Abstract

Biometric verification systems have security issues regarding the storage of biometric data in that a user's biometric features cannot be changed into other ones even when a system is compromised. To address this issue, it may be safe to store the biometrics data on a reliable remote server instead of storing them in a local device. However, this approach may raise a privacy issue. In this paper, we propose a biometric verification system where the biometric data are stored in a remote server in an encrypted form and the similarity of the user input to the registered biometric data is computed in an encrypted domain using a homomorphic encryption. We evaluated the performance of the proposed system through an implementation on an Android-based smartphone and an i7-based server.

URLhttp://ieeexplore.ieee.org/document/7588948/
DOI10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150
Citation Keyim_privacy-preserving_2016