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Watermarking of audio signals using iris data for protecting intellectual property rights of multiple owners

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Abstract

This paper proposes an effective method of incorporating the biometrics of multiple owners of multimedia content into audio signals as a watermark, for audio copyright and digital rights management. Watermarks are usually generated from random numbers or chaotic encryptions or by using a logo or a symbol as a seed to generate the watermark. From a legal perspective, a random number sequence or a pseudonumber sequence cannot satisfactorily form the basis of ownership. Moreover, such secret keys cannot be patented or copyrighted since keys need to be kept secret. If piracy disputes emerge, the logo or symbol used as watermark may not be considered adequate proof of ownership. This problem is complicated manifold if multiple owners are involved, as the secret key would be known to all the owners who may misuse this knowledge to the detriment of the other owners. To resolve these issues, the need for a legally enforceable watermark arises. To fulfil the need for a legally enforceable watermark that is acceptable to all the owners, one solution is to generate the watermark from the iris templates of multiple owners, as proposed in this method. The benefit of using iris-generated sequence (bio-keys) is that they will be unique, since irises of no two individuals are the same.

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References

  1. Goljan M, Fridrich JJ, Du R (2001) Distortion-free data embedding for images. In: Moskowitz IS (ed)Information hiding. IH 2001. Lecture Notes in Computer Science, vol 2137. Springer, Berlin, Heidelberg

  2. Bender W, Gruhl D, Morimoto N, Lu A (1996) Techniques for data hiding. IBM Syst J 35(3&4):313–336

    Article  Google Scholar 

  3. Kirovski D, Malvar HS (2003) Spread-spectrum watermarking of audio signals. IEEE Trans Signal Process 51(4):1020–1033

    Article  MathSciNet  MATH  Google Scholar 

  4. Maha C, Maher E, Mohamed K, Chokri BA (2010) DCT based blind audio watermarking scheme. In: Proceedings of the 2010 international conference on signal processing and multimedia applications (SIGMAP). IEEE, pp 139–144

  5. Bhat VK, Sengupta I, Das A (2008) Audio watermarking based on quantization in wavelet domain. In: Information systems security, LNCS. Springer, vol 5352, pp 235–242

  6. Swanson MD, Zhu B, Tewfik AH, Boney L (1998) Robust audio watermarking using perceptual masking. Signal Process 66(3):337–355 (Elsevier)

    Article  MATH  Google Scholar 

  7. Cveji C, Keskinarkaus A, Seppanen T (2001) Audio watermarking using m-sequence and temporal masking. In: Proceedings 7th IEEE workshop on applications of signal process to audio and acoustics, New York, pp 227–233

  8. Lei B, Soon IY, Tan EL (2013) Robust SVD-based audio watermarking scheme with differential evolution optimization. IEEE Trans Audio Speech Lang Process 21(11):2368–2378

    Article  Google Scholar 

  9. Fallahpour M, Megías D (2014) Secure logarithmic audio watermarking scheme based on the human auditory system. Multimedia Syst 20(2):155–164 (Springer)

    Article  Google Scholar 

  10. Xiang Y, Natgunanathan I, Rong Y, Guo S (2015) Spread spectrum-based high embedding capacity watermarking method for audio signals. In: IEEE/ACM transactions on audio, speech, and language processing, vol 23, no 12, pp 2228–2237

  11. Dutta MK, Singh A, Burget R (2016) Digital ownership tags based on biometric features of iris and fingerprint for content protection and ownership of digital images and audio signals. Multimedia Tools Appl 75(23):16287–16313 (Springer)

    Article  Google Scholar 

  12. Dutta MK, Gupta P, Pathak VK (2009) Biometric based watermarking in audio signals. In: International conference on multimedia information networking and security (MINES\’09), vol 1, pp 10–14

  13. Dutta MK, Gupta P, Pathak VK (2010) Audio watermarking using pseudorandom sequences based on biometric templates. J Comput 5(3):372–379 (Academy Publishers)

    Article  Google Scholar 

  14. Dhavale S (2012) DWT and DCT based robust iris feature extraction and recognition algorithm for biometric personal identification. Int J Comput Appl 40(7):33–37

    Google Scholar 

  15. Gracia RA (1999) Digital watermarking of audio signals using a psychoacoustic auditory model and spread spectrum theory. In: Audio engineering society convention 107. Audio Engineering Society

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Authors and Affiliations

  1. Department of ECE, Birla Institute of Applied Sciences, Bhimtal, Uttarakhand, India

    Saurav Joshi

  2. School of CS and IT, Uttarakhand Open University, Haldwani, Uttarakhand, India

    Jeetendra Pande

  3. Department of ECE, BTKIT, Dwarahat, Uttarakhand, India

    B. K. Singh

Authors
  1. Saurav Joshi
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  2. Jeetendra Pande
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  3. B. K. Singh
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Correspondence to Saurav Joshi.

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Joshi, S., Pande, J. & Singh, B.K. Watermarking of audio signals using iris data for protecting intellectual property rights of multiple owners. Int. j. inf. tecnol. 10, 559–566 (2018). https://doi.org/10.1007/s41870-018-0163-7

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  • DOI: https://doi.org/10.1007/s41870-018-0163-7

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