Privacy-Preserving Population-Enhanced Biometric Key Generation from Free-Text Keystroke Dynamics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F14%3A00082091" target="_blank" >RIV/00216224:14310/14:00082091 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6996244&filter%3DAND%28p_IS_Number%3A6996217%29%26pageNumber%3D2" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6996244&filter%3DAND%28p_IS_Number%3A6996217%29%26pageNumber%3D2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/BTAS.2014.6996244" target="_blank" >10.1109/BTAS.2014.6996244</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Privacy-Preserving Population-Enhanced Biometric Key Generation from Free-Text Keystroke Dynamics

Popis výsledku v původním jazyce

Biometric key generation techniques are used to reliably generate cryptographic material from biometric signals. Existing constructions require users to perform a particular activity (e.g., type or say a password, or provide a handwritten signature), andare therefore not suitable for generating keys continuously. In this paper we present a new technique for biometric key generation from free-text keystroke dynamics. This is the first technique suitable for continuous key generation. Our approach is based on a scaled parity code for key generation (and subsequent key reconstruction), and can be augmented with the use of population data to improve security and reduce key reconstruction error. In particular, we rely on linear discriminant analysis (LDA)to obtain a better representation of discriminable biometric signals. To update the LDA matrix without disclosing user's biometric information, we design a provably secure privacy-preserving protocol (PP-LDA) based on homomorphic encrypti

Název v anglickém jazyce

Privacy-Preserving Population-Enhanced Biometric Key Generation from Free-Text Keystroke Dynamics

Popis výsledku anglicky

Biometric key generation techniques are used to reliably generate cryptographic material from biometric signals. Existing constructions require users to perform a particular activity (e.g., type or say a password, or provide a handwritten signature), andare therefore not suitable for generating keys continuously. In this paper we present a new technique for biometric key generation from free-text keystroke dynamics. This is the first technique suitable for continuous key generation. Our approach is based on a scaled parity code for key generation (and subsequent key reconstruction), and can be augmented with the use of population data to improve security and reduce key reconstruction error. In particular, we rely on linear discriminant analysis (LDA)to obtain a better representation of discriminable biometric signals. To update the LDA matrix without disclosing user's biometric information, we design a provably secure privacy-preserving protocol (PP-LDA) based on homomorphic encrypti

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Biometrics (IJCB), 2014 IEEE International Joint Conference on

ISBN

9781479935840

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

Florida, USA

Místo konání akce

Florida, USA

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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