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2018 | OriginalPaper | Chapter

HEAP- Genus 2 HyperElliptic Curve Based Biometric Audio Template Protection

Authors : N. Sasikaladevi, A. Revathi, N. Mahalakshmi, N. Archana

Published in: Advances in Computing and Data Sciences

Publisher: Springer Singapore

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Abstract

Increasing evolution of technology demands the innovative applications. E-commerce, e-banking, e-health, and e-payment, etc. being carried out by mobile devices. Mobile device-based speaker authentication is one of the predominant biometric-based authentication schemes. As the mobile devices are vulnerable to physical attacks, speech template stored in the mobile devices may be compromised. To protect the speech template, it should be stored in the encrypted form. Audio templates produce the large bitstream that leads to long encryption phase. Hence, there is a need for lightweight cryptosystem for audio template protection. In This paper, a light weight cryptographic algorithm based on Genus-2 Hyper-Elliptic Curves in Jacobi field is proposed. Genus-2 curves are deployed over a field F such that |F| ≈ \( 2^{80} \). With these features, improved security is provided for the stored data.

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Metadata
Title
HEAP- Genus 2 HyperElliptic Curve Based Biometric Audio Template Protection
Authors
N. Sasikaladevi
A. Revathi
N. Mahalakshmi
N. Archana
Copyright Year
2018
Publisher
Springer Singapore
Book
Advances in Computing and Data Sciences

Print ISBN: 978-981-13-1809-2

Electronic ISBN: 978-981-13-1810-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-13-1810-8_31

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