Privacy Preserving Fingerprint Authentication at the Cloud Server for eHealth Services

S  Rajarajan; R Venkata  Kausik; M Sree  Charan; PLK.  Priyadarsini

doi:10.4108/eai.13-7-2018.162688

Privacy Preserving Fingerprint Authentication at the Cloud Server for eHealth Services

Authors

S Rajarajan SASTRA University
R Venkata Kausik SASTRA University
M Sree Charan SASTRA University
PLK. Priyadarsini SASTRA University

DOI:

https://doi.org/10.4108/eai.13-7-2018.162688

Keywords:

Biometrics, Fingerprints, Privacy-preserving, Cancellable-biometrics, Cloud, Image feature extraction, SURF

Abstract

BACKGROUND: Restricting entry and access to highly sensitive systems like e-Health services is vital to protect the privacy and confidentiality of customers. User authentication is implemented predominantly done using Bio-metric schemes. But there is a challenge in securely storing the fingerprint templates. Since fingerprints are permanent, fingerprints getting stolen will be a serious issue.

OBJECTIVE: The objective of this paper is to design a scheme to carry out the fingerprint match at the cloud server that will not compromise the fingerprints.

METHODS: When users input their fingerprint, a unique key is generated and it is sent to the server for verification.

RESULTS: We evaluated our proposed scheme and ascertained that it generates unique Fingerprint Identification Number for different fingerprints and the false rejection rate of our proposed scheme is within acceptable limit.

CONCLUSION: The proposed scheme overcomes the security threats to the stored fingerprints of users.

Downloads

Download data is not yet available.

Downloads

Published

15-05-2019

How to Cite

Rajarajan S, Kausik RV, Charan MS, Priyadarsini P. Privacy Preserving Fingerprint Authentication at the Cloud Server for eHealth Services. EAI Endorsed Trans Perv Health Tech [Internet]. 2019 May 15 [cited 2024 Nov. 23];5(18):e4. Available from: https://publications.eai.eu/index.php/phat/article/view/1271

Download Citation

Issue

Vol. 5 No. 18 (2019): EAI Endorsed Transactions on Pervasive Health and Technology

Section

Research article

License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.