Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104549" target="_blank" >RIV/00216305:26220/13:PU104549 - 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

Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership

Popis výsledku v původním jazyce

This paper proposes a proficient digital watermark generation technique from encrypted biometric data which will be unique and can be logically owned to prove ownership of digital media. During the use of biometric data as the watermark exposure of biometric data may not be secure and hence this paper proposes a method to encrypt the biometric data using chaotic maps sensitive to secret key for enhancing the security. This joint encryption and watermarking scheme has the potential of addressing the ownership of digital signals and keep the biometric data secure. Arnold transformation is used to encrypt the biometric data and discrete cosine transformation is used for embedding the watermark in the image. Experimental results indicate that the watermark can survive the signal processing and maintain the perceptual properties of the host signal and hence satisfies the design requirements of digital watermarking. The extracted biometric based watermark after decryption was uniquely identified under signal processing attacks by matching of the feature points.

Název v anglickém jazyce

Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership

Popis výsledku anglicky

This paper proposes a proficient digital watermark generation technique from encrypted biometric data which will be unique and can be logically owned to prove ownership of digital media. During the use of biometric data as the watermark exposure of biometric data may not be secure and hence this paper proposes a method to encrypt the biometric data using chaotic maps sensitive to secret key for enhancing the security. This joint encryption and watermarking scheme has the potential of addressing the ownership of digital signals and keep the biometric data secure. Arnold transformation is used to encrypt the biometric data and discrete cosine transformation is used for embedding the watermark in the image. Experimental results indicate that the watermark can survive the signal processing and maintain the perceptual properties of the host signal and hence satisfies the design requirements of digital watermarking. The extracted biometric based watermark after decryption was uniquely identified under signal processing attacks by matching of the feature points.

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

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

2013 Sixth International Conference on Contemporary Computing (IC3-2013)

ISBN

978-1-4799-0190-6

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

108-112

Název nakladatele

Neuveden

Místo vydání

New Delhi, Republic of India

Místo konání akce

New Delhi, Noida

Datum konání akce

8. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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