Biometric Data Security Using Fractional Fourier Transform and Chaotic Theory

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120165" target="_blank" >RIV/00216305:26220/16:PU120165 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/7760937" target="_blank" >https://ieeexplore.ieee.org/document/7760937</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TSP.2016.7760937" target="_blank" >10.1109/TSP.2016.7760937</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Biometric Data Security Using Fractional Fourier Transform and Chaotic Theory

Popis výsledku v původním jazyce

In the recent past, biometrics have found an extensive use in the field of data security and access control to maintain data confidentiality and restrict unauthorised access. As data theft cases are increasing the need of securing biometric data is a major concern. This paper presents an efficient and lossless encryption scheme based on transformation and chaotic domain to achieve high level of data confidentiality and security. Unlike conventional methods, the proposed scheme uses the substitution and permutation in reverse order using different domains to provide adequate security level. Experimental results shows that proposed method reduces the peak signal to noise ratio significantly making the proposed algorithm resistant to perceptual attacks. Also an increased key space is achieved due to the use of transformation domain in conjunction with spatial domain. Experimental results also show that proposed method is highly resistant to statistical and crypt analytical attacks which make it suitable for real time applications.

Název v anglickém jazyce

Biometric Data Security Using Fractional Fourier Transform and Chaotic Theory

Popis výsledku anglicky

In the recent past, biometrics have found an extensive use in the field of data security and access control to maintain data confidentiality and restrict unauthorised access. As data theft cases are increasing the need of securing biometric data is a major concern. This paper presents an efficient and lossless encryption scheme based on transformation and chaotic domain to achieve high level of data confidentiality and security. Unlike conventional methods, the proposed scheme uses the substitution and permutation in reverse order using different domains to provide adequate security level. Experimental results shows that proposed method reduces the peak signal to noise ratio significantly making the proposed algorithm resistant to perceptual attacks. Also an increased key space is achieved due to the use of transformation domain in conjunction with spatial domain. Experimental results also show that proposed method is highly resistant to statistical and crypt analytical attacks which make it suitable for real time applications.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LO1401" target="_blank" >LO1401: Interdisciplinární výzkum bezdrátových technologií</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 39th International Conference on Telecommunication and Signal Processing, TSP 2016

ISBN

978-1-5090-1287-9

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

533-537

Název nakladatele

Neuveden

Místo vydání

Vídeň

Místo konání akce

Vídeň

Datum konání akce

27. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000390164000116