Advertisement

Secure and robust color image watermarking scheme using partial homomorphic cryptosystem in ASWDR compressed domain

  • Anurag MishraEmail author
  • Ritu Gupta
  • Sarika Jain
Article
  • 18 Downloads

Abstract

The primary requirement of Secure Signal Processing (SSP) is to protect the identity and content of the transmitted data. To this end, various encryption techniques are employed. Homomorphic encryption in general and Paillier cryptosystem in particular is found to be one such algorithm suitable for image processing applications. It offers additive privacy homomorphism. In this paper, the Paillier encryption is employed for watermarking of six different compressed images in ASWDR (Adaptively Scanned Wavelet Difference Reduction) domain. The results are found to be encouraging both in terms of visual quality and the correlation coefficient values. The proposed watermarking scheme ensures robustness towards selected image processing attacks. The encryption parameters like NPCR (Number of Pixels Change Rate), UACI (Unified Average Changing Intensity) and Encryption Speed are evaluated. The proposed technique is compared with the one in SPIHT (Set Partitioning in Hierarchical Trees) domain. The experimental results obtained for ASWDR compression are better placed in comparison to those obtained by SPIHT compression. The proposed scheme is further analyzed in view of other recent schemes carried out by using RSA as an encryption tool in DWT domain. It is concluded that our proposed scheme is better placed in comparison to this scheme.

Keywords

Image watermarking Homomorphism Paillier encryption ASWDR compression SPIHT compression 

Notes

References

  1. 1.
    Abdallah HA, Ghazy RA, Kasban H, Faragallah OS, Shaalan AA, Hadhoud MM, … El-Samie FEA (2014) Homomorphic image watermarking with a singular value decomposition algorithm. Inf Process Manag 50(6):909–923CrossRefGoogle Scholar
  2. 2.
    Boussif M, Aloui N, Cherif A (2018) Secured cloud computing for medical data based on watermarking and encryption. IET Networ 7(5):294–298CrossRefGoogle Scholar
  3. 3.
    Cox IJ, Kilian J, Leighton FT, Shamoon T (1997) Secure spread spectrum watermarking for multimedia. IEEE Trans Image Process 6(12):1673–1687CrossRefGoogle Scholar
  4. 4.
    Damgård I, Jurik M (2001) A generalization, a simplification and some applications of Paillier’s probabilistic public-key system. Proc Public-Key Cryptograp:119–136Google Scholar
  5. 5.
    Elgamal T (1985) A public key cryptosystem and a signature scheme based on discrete logarithms. IEEE Trans Inf Theory 31(4):469–472MathSciNetCrossRefGoogle Scholar
  6. 6.
    Gentry C (2009) “Fully homomorphic encryption using ideal lattices,” in Proc. 41st Annu. ACM Symp. Theory Comput. 169–178.Google Scholar
  7. 7.
    Guo J, Zheng P, Huang J (2015) Secure watermarking scheme against watermark attacks in the encrypted domain. J Vis Commun Image Represent 30:125–135CrossRefGoogle Scholar
  8. 8.
    Gupta R, Mishra A, Jain S (2017) A semi-blind HVS based image watermarking scheme using elliptic curve cryptography. Multimed Tools Appl:1–26Google Scholar
  9. 9.
    Jindal NS (2012) Performance Analysis of SVD and SPIHT Algorithm for Image Compression Application. Int J 2(2)Google Scholar
  10. 10.
    Jost C, Lam H, Maximov A, Smeets BJ (2015) Encryption Performance Improvements of the Paillier Cryptosystem. IACR Cryptology ePrint Archive 2015:864Google Scholar
  11. 11.
    Kumar VVS, Reddy MIS (2012) Image Compression Techniques by using Wavelet Transform. J Inform Eng Appl 2(1)Google Scholar
  12. 12.
    Liu R, Tan T (2002) An SVD based watermarking scheme for protecting rightful ownership. IEEE Trans Multimed 4(1):121–128CrossRefGoogle Scholar
  13. 13.
    Liu Y, Tang S, Liu R, Zhang L, Ma Z (2018) Secure and robust digital image watermarking scheme using logistic and RSA encryption. Expert Syst Appl 97:95–105CrossRefGoogle Scholar
  14. 14.
    Mehta N, Jadhav P, Lupane P, Honrao P, Mahalle P (2013). Group authentication using paillier threshold cryptography. In Wireless and Optical Communications Networks (WOCN), 2013 Tenth International Conference on (1–4). IEEEGoogle Scholar
  15. 15.
    Muthumani N, Pavithradevi K (2015) Image Compression Using ASWDR and 3DSPIHT Algorithms for Satellite Data”, in International Journal of Scientific & Engineering Research, 6(10)Google Scholar
  16. 16.
    Nassar M, Erradi A, & Malluhi QM (2015) Paillier's encryption: implementation and cloud applications. In Applied Research in Computer Science and Engineering (ICAR), 2015 International Conference on (1–5). IEEEGoogle Scholar
  17. 17.
    O’Keeffe M (2008) The Paillier cryptosystem: A look into the cryptosystem and its potential application. College of New JerseyGoogle Scholar
  18. 18.
    Paillier P (1999). Public-key cryptosystems based on composite degree residuosity classes. In International Conference on the Theory and Applications of Cryptographic Techniques (223-238). Springer Berlin.Google Scholar
  19. 19.
    Petitcolas FA, Anderson RJ, Kuhn MG (1998) Attacks on copyright marking systems. In: International workshop on information hiding. Springer, Berlin, pp 218–238CrossRefGoogle Scholar
  20. 20.
    Qin C, Chang CC, Chiu YP (2014) A novel joint data-hiding and compression scheme based on SMVQ and image inpainting. IEEE Trans Image Process 23(3):969–978MathSciNetCrossRefGoogle Scholar
  21. 21.
    Said A, Pearlman WA (1996) A new, fast, and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans Circ Syst Video Technol 6(3):243–250CrossRefGoogle Scholar
  22. 22.
    Seong TY, Kwon KC, Lee SH, Moon KS, Kwon KR (2014) DCT and Homomorphic Encryption based Watermarking Scheme in Buyer-seller Watermarking Protocol. J K Multimed Soc 17(12):1402–1411CrossRefGoogle Scholar
  23. 23.
    Somaraj S, Hussain MA (2015) Performance and Security Analysis for image encryption using Key image. Indian J Sci Technol 8(35)Google Scholar
  24. 24.
    Sridokmai T, Prakancharoen S (2015). The homomorphic other property of Paillier cryptosystem. In Science and Technology (TICST), 2015 International Conference on (356–359). IEEEGoogle Scholar
  25. 25.
    Subramanyam AV, Emmanuel S (2012) Robust watermarking of compressed and encrypted JPEG2000 IMAGES. IEEE Trans Multimed 14(3):130–142CrossRefGoogle Scholar
  26. 26.
    Tebaa, M., El Hajji, S., & El Ghazi, A. (2012). Homomorphic encryption applied to the cloud computing security. In Proceedings of the World Congress on Engineering (Vol. 1, pp. 4-6).Google Scholar
  27. 27.
    Walker JS, Nguyen TO (2000) Adaptive Scanning Methods for Wavelet Difference Reduction in Lossy Image Compression. Proc IEEE Int Conf Image Proc 3:182–185CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Deendayal Upadhyay CollegeUniversity of DelhiDelhiIndia
  2. 2.Amity University Uttar PradeshNoidaIndia

Personalised recommendations