@inproceedings{fedfb850234343f2adf30dad5ca3dfcf,
title = "Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption",
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.",
keywords = "authentication, biometrics, homomorphic encryption, mobile device, palm print",
author = "Im, {Jong Hyuk} and Choi, {Jin Chun} and Nyang, {Dae Hun} and Lee, {Mun Kyu}",
note = "Funding Information: This research was supported in part by Basic Science Research Program through the NRF, Korea, funded by the MoE (grant number: 2014R1A1A2058514), in part by MSIP, Korea, under the ITRC support program (IITP-2016-H8501-16-1008) supervised by the IITP, and in part by the Information Security R&D program of MSIP/IITP [B0717-16-0114, Development of Biometrics-based Key Infrastructure Technology for On-line Identification]. Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 ; Conference date: 08-08-2016 Through 10-08-2016",
year = "2016",
month = oct,
day = "11",
doi = "10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150",
language = "English",
series = "Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "878--881",
editor = "Wang, {Kevin I-Kai} and Qun Jin and Bhuiyan, {Md Zakirul Alam} and Qingchen Zhang and Ching-Hsien Hsu",
booktitle = "Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016",
}