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Joint watermarking and encryption for still visual data

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Abstract

Joint watermarking and encryption is an upcoming security solution that combines leading but complementary techniques to achieve an enhanced security level. Real time applications using joint watermarking and encryption framework has three requirements: data to be efficiently compressed, watermarking technique to sustain compression, and encryption technique to be developed in a way so as not to disturb the compression efficiency. Finding an optimal solution that combines the three techniques while fulfilling these requirements is a challenging problem. This paper thus, proposes a wavelet domain based joint watermarking and encryption framework that employs singular value decomposition based watermark embedding and sign bit encryption prior to compression. The varying significance of different subbands has been considered to encrypt the data without adversely effecting the compression ratio. Experimental analysis using various evaluation parameters and attack scenarios has revealed the ability of the proposed framework to prove content-ownership, even from the encrypted data. Comparative analysis with the existing techniques reflect its ability to provide better security with less computational resources. This makes it a preferable solution for data security at all stages of data archival, transmission or distribution.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667, India

    Nidhi Taneja & Indra Gupta

  2. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, Canada

    Gaurav Bhatnagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, 247 667, India

    Balasubramanian Raman

Authors
  1. Nidhi Taneja
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  2. Gaurav Bhatnagar
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  3. Balasubramanian Raman
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  4. Indra Gupta
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Correspondence to Nidhi Taneja.

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Taneja, N., Bhatnagar, G., Raman, B. et al. Joint watermarking and encryption for still visual data. Multimed Tools Appl 67, 593–606 (2013). https://doi.org/10.1007/s11042-012-1037-9

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  • DOI: https://doi.org/10.1007/s11042-012-1037-9

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