Detail publikace

Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership

Originální název

Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership

Anglický název

Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT100902,
  author="Malay Kishore {Dutta} and Anushikha {Singh} and K. M. {Soni} and Radim {Burget} and Kamil {Říha}",
  title="Watermarking of Digital Media with Encrypted Biometric Features for Digital Ownership",
  annote="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.",
  booktitle="2013 Sixth International Conference on Contemporary Computing (IC3-2013)",
  chapter="100902",
  howpublished="print",
  year="2013",
  month="august",
  pages="108--112",
  type="conference paper"
}