An Efficient and Lossless Fingerprint Encryption Algorithm Using Henon Map & Arnold Transformation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU105500" target="_blank" >RIV/00216305:26220/13:PU105500 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

An Efficient and Lossless Fingerprint Encryption Algorithm Using Henon Map & Arnold Transformation

Popis výsledku v původním jazyce

In this paper two stage biometric data protection scheme is being proposed using permutation and substitution mechanism of the chaotic theory which is lossless in nature. Arnold transformation and Henon map is used to design an efficient encryption system. The encryption method is aimed at generating an encrypted image that will have statistical properties completely dissimilar from the original image analysis which will make it difficult for any intruder to find any predictable relationship between theoriginal and its corresponding encrypted image. The performance of the method has been experimentally analyzed using statistical analysis and correlation based methods. Correlation coefficient analysis is done to evaluate the behavior of pixels in horizontal and vertical directions and the results are found to be encouraging. This protection scheme provides the ability to encrypt the data and secure it from unauth

Název v anglickém jazyce

An Efficient and Lossless Fingerprint Encryption Algorithm Using Henon Map & Arnold Transformation

Popis výsledku anglicky

In this paper two stage biometric data protection scheme is being proposed using permutation and substitution mechanism of the chaotic theory which is lossless in nature. Arnold transformation and Henon map is used to design an efficient encryption system. The encryption method is aimed at generating an encrypted image that will have statistical properties completely dissimilar from the original image analysis which will make it difficult for any intruder to find any predictable relationship between theoriginal and its corresponding encrypted image. The performance of the method has been experimentally analyzed using statistical analysis and correlation based methods. Correlation coefficient analysis is done to evaluate the behavior of pixels in horizontal and vertical directions and the results are found to be encouraging. This protection scheme provides the ability to encrypt the data and secure it from unauth

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

2013 International Conference on Control, Communication and Computing (ICCC 2013)

ISBN

978-1-4799-0573-7

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

485-489

Název nakladatele

Neuveden

Místo vydání

Thiruvananthapuram, Kerala, Republic of India

Místo konání akce

Thiruvananthapuram, Kerala

Datum konání akce

13. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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