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Visual Secret Sharing for Secure Biometric Authentication using Steganography


Author(s): A B Rajendra , H S Sheshadri
Year of Publication: 2014
Source: International Journal of Computing Algorithm
     
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Citation: A B Rajendra, H S Sheshadri. "Visual Secret Sharing for Secure Biometric Authentication using Steganography." International Journal of Computing Algorithm 3.1 (2014): 97-100.

Abstract:
Visual secret sharing (VSS) is a kind of encryption, where secret image can be decoded directly by the human visual system without any computation for decryption. Secret image is reconstructed by simply stacking the shares together. Steganography using visual secret sharing (SVSS) is an improved version of visual secret sharing where it embeds the random patterns into meaningful images. One of the applications of SVSS is to avoid the custom inspections, because the shares of SVSS are meaningful images, hence there are fewer chances for the shares to be suspected and detected. The disadvantage of VSS is that the interceptors are able to identify that the secret image has been encrypted. Therefore we propose a method so that it is difficult for the interceptors to know about the presence of the shares.


Keywords VSS,SVSS,VC


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@article{Vis1459891, author = {A B Rajendra,H S Sheshadri}, title = {Visual Secret Sharing for Secure Biometric Authentication using Steganography}, journal={International Journal of Computing Algorithm}, volume={3}, issue={1}, issn = {2278-2397}, year = {2014}, publisher = {Scholarly Citation Index Analytics-SCIA}

  • [1] M.Naor & A.Shamir, “Visual secret sharing”, Proc.Advances in Cryptology EUROCRYPT ’94, LNCS, Springer-Verlag, pp.1-12,1995.
  • [2] Stinson, “Visual secret sharing and threshold schemes”, Potentials, IEEE, Vol. 18 Issue: 1, pp. 13 -16, 1999.
  • [3] A B Rajendra & H S Sheshadri, “Enhanced visual secret sharing for graphical password authentication” Proc. SPIE 8768, International Conference on Graphic and Image Processing , 876835, doi:10.1117/12.2010934,2012.
  • [4] Rajendra Basavegowda & Sheshadri Seenappa, “Electronic Medical Report Security Using Visual Secret Sharing Scheme”, Proc. of the IEEE International Conference on Computer Modelling and Simulation, Cambridge, UK, pp.78-83.2013.
  • [5] S.Droste, “New results on visual secret sharing” in Proc. CRYPTO’96, vol. 1109, pp. 401–415, Springer-Verlag Berlin LNCS.1996.
  • [6] G.Ateniese, C. Blundo, A. De Santis and D.R.Stinson,“Extended capabilities for visual secret sharing,” ACM Theoretical Computer. Sci., vol. 250, no. 1–2, pp. 143–161, 2001.
  • [7] M. Nakajima and Y. Yamaguchi, “Extended visual secret sharing for natural images,” in Proc. WSCG Conf.2002pp. 303–412, 2002.
  • [8] Rajendra A B, Sheshadri H S , “Visual Cryptography in Internet Voting System”, Proc. of the IEEE International Conference on Innovative Computing Technology, London, UK, pp.60-64,2013.
  • [9] Z. Zhou, G. R. Arce, and G. Di Crescenzo, “Halftone visual cryptography,” IEEE Trans. Image Process., vol. 15, no. 8, pp. 2441– 2453, Aug. 2006.
  • [10] R A Basavegowda, S H Seenappa,”Secret Code Authentication Using Enhanced Visual Cryptography”, Emerging Research in Electronics, Computer Science and Technology, LN EE248, Springer book chapter, pp 69-76.2014.
  • [11] Thomas Monoth, Babu Anto P (2010), “Tamperproof Transmission of Fingerprints Using VisualCryptography Schemes”, Elsevier science direct, Procedia Computer Science 2, pp 143–148.
  • [12]Rajendra A B & Sheshadri H S , “A new approach to analyze visual secret sharing schemes for biometric authentication” International Journal in Foundations of Computer Science & Technology (IJFCST), Vol. 3,No.6, pp 53-60.November 2013
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