Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption

Jong Hyuk Im; Jin Chun Choi; Dae Hun Nyang; Mun Kyu Lee

doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150

Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption

Jong Hyuk Im, Jin Chun Choi, Dae Hun Nyang, Mun Kyu Lee

Department of Cyber Security

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

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.

Original language	English
Title of host publication	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
Editors	Kevin I-Kai Wang, Qun Jin, Md Zakirul Alam Bhuiyan, Qingchen Zhang, Ching-Hsien Hsu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	878-881
Number of pages	4
ISBN (Electronic)	9781509040650
DOIs	https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150
State	Published - 11 Oct 2016
Event	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 - Auckland, New Zealand Duration: 8 Aug 2016 → 10 Aug 2016

Publication series

Name

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

Conference

Conference	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
Country/Territory	New Zealand
City	Auckland
Period	8/08/16 → 10/08/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

authentication
biometrics
homomorphic encryption
mobile device
palm print

Access to Document

10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150

Cite this

Im, J. H., Choi, J. C., Nyang, D. H., & Lee, M. K. (2016). Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption. In K. I.-K. Wang, Q. Jin, M. Z. A. Bhuiyan, Q. Zhang, & C.-H. Hsu (Eds.), 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 (pp. 878-881). Article 7588948 (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). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150

Im, Jong Hyuk ; Choi, Jin Chun ; Nyang, Dae Hun et al. / Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption. 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. editor / Kevin I-Kai Wang ; Qun Jin ; Md Zakirul Alam Bhuiyan ; Qingchen Zhang ; Ching-Hsien Hsu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 878-881 (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).

@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 = "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",

}

Im, JH, Choi, JC, Nyang, DH & Lee, MK 2016, Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption. in KI-K Wang, Q Jin, MZA Bhuiyan, Q Zhang & C-H Hsu (eds), 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., 7588948, 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, Institute of Electrical and Electronics Engineers Inc., pp. 878-881, 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, Auckland, New Zealand, 8/08/16. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150

Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption. / Im, Jong Hyuk; Choi, Jin Chun; Nyang, Dae Hun et al.
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. ed. / Kevin I-Kai Wang; Qun Jin; Md Zakirul Alam Bhuiyan; Qingchen Zhang; Ching-Hsien Hsu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 878-881 7588948 (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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption

AU - Im, Jong Hyuk

AU - Choi, Jin Chun

AU - Nyang, Dae Hun

AU - Lee, Mun Kyu

PY - 2016/10/11

Y1 - 2016/10/11

N2 - 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.

AB - 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.

KW - authentication

KW - biometrics

KW - homomorphic encryption

KW - mobile device

KW - palm print

UR - http://www.scopus.com/inward/record.url?scp=84995480101&partnerID=8YFLogxK

U2 - 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150

DO - 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150

M3 - Conference contribution

AN - SCOPUS:84995480101

T3 - 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

SP - 878

EP - 881

BT - 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

A2 - Wang, Kevin I-Kai

A2 - Jin, Qun

A2 - Bhuiyan, Md Zakirul Alam

A2 - Zhang, Qingchen

A2 - Hsu, Ching-Hsien

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 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

Y2 - 8 August 2016 through 10 August 2016

ER -

Im JH, Choi JC, Nyang DH, Lee MK. Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption. In Wang KIK, Jin Q, Bhuiyan MZA, Zhang Q, Hsu CH, editors, 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. Institute of Electrical and Electronics Engineers Inc. 2016. p. 878-881. 7588948. (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). doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.150

Privacy-Preserving Palm Print Authentication Using Homomorphic Encryption

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this