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A Robust Multimodal Biometric Security System Using the Polynomial Curve Technique within Shamir's Secret Sharing Algorithm

Aldosary, Saad and Howells, Gareth (2012) A Robust Multimodal Biometric Security System Using the Polynomial Curve Technique within Shamir's Secret Sharing Algorithm. In: 2012 Third International Conference on Emerging Security Technologies. IEEE, pp. 66-69. ISBN 978-1-4673-2448-9. E-ISBN 978-0-7695-4791-6. (doi:10.1109/EST.2012.9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35791)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/EST.2012.9

Abstract

This paper investigates the application of secret sharing technology to allow an encryption key to be derived from multimodal biometric samples. Within the proposed scheme, individual points on a parabolic curve are indirectly derived from individual biometric samples taken from an individual, and Shamir's Secret Sharing algorithm is applied in order to derive the required key. The proposal is robust, in that a pre-defined subset of modalities is required in order to derive the key, rendering the system able to accommodate exception handling for given modalities. The current paper reports preliminary work on how secret sharing techniques may be employed to integrate arbitrary points that may be derived from the actual biometric data.

Item Type: Book section
DOI/Identification number: 10.1109/EST.2012.9
Uncontrolled keywords: encryption; polynomials; iris recognition; face; fingerprint recognition
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: P.S.P. Yapp
Date Deposited: 29 Oct 2013 16:37 UTC
Last Modified: 16 Nov 2021 10:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35791 (The current URI for this page, for reference purposes)

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