Skip to main content

Advertisement

Log in

Improving embedding efficiency for digital steganography by exploiting similarities between secret and cover images

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Digital steganography is becoming a common tool for protecting sensitive communications in various applications such as crime/terrorism prevention whereby law enforcing personals need to remotely compare facial images captured at the scene of crime with faces databases of known criminals/suspects; exchanging military maps or surveillance video in hostile environment/situations; privacy preserving in the healthcare systems when storing or exchanging patient’s medical images/records; and prevent bank customers’ accounts/records from being accessed illegally by unauthorized users. Existing digital steganography schemes for embedding secret images in cover image files tend not to exploit various redundancies in the secret image bit-stream to deal with the various conflicting requirements on embedding capacity, stego-image quality, and undetectibility. This paper is concerned with the development of innovative image procedures and data hiding schemes that exploit, as well as increase, similarities between secret image bit-stream and the cover image LSB plane. This will be achieved in two novel steps involving manipulating both the secret and the cover images, prior to embedding, to achieve higher 0:1 ratio in both the secret image bit-stream and the cover image LSB plane. The above two steps strategy has been exploited to use a bit-plane(s) mapping technique, instead of bit-plane(s) replacement to make each cover pixel usable for secret embedding. This paper will demonstrate that this strategy produces stego-images that have minimal distortion, high embedding efficiency, reasonably good stego-image quality and robustness against 3 well-known targeted steganalysis tools.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Abdulla AA (2015) Exploiting similarities between secret and cover images for improved embedding efficiency and security in digital steganography. PhD dissertation, Dept. of Applied Computing, Buckingham Univ., Buckingham, UK. http://bear.buckingham.ac.uk/149/

  2. Abdulla AA, Jassim SA, Sellahewa H (2013) Efficient high-capacity steganography technique. Proc. SPIE Electronic Imaging Security Forensics Steganography and Watermarking of Multimedia Contents

  3. Abdulla AA, Sellahewa H, Jassim SA (2014) Stego quality enhancement by message size reduction and Fibonacci bit-plane mapping. International Conference on Research in Security Standardisation Research (SSR), Springer, UK, p 151–166

  4. Abdulla AA, Sellahewa H, Jassim SA (2014) Steganography based on pixel intensity value decomposition. Proc. SPIE Electronic Imaging Security Forensics Steganography and Watermarking of Multimedia Contents

  5. Alharbi F (2013) Novel steganography system using Lucas sequence. Int J Adv Comput Sci Appl 4:52–58

    Google Scholar 

  6. Aroukatos N, Manes K, Zimeras S, Georgiakodis F (2012) Data hiding techniques in steganography using fibonacci and catalan numbers. International Conference on Information Technology: New Generations (ITNG), IEEE, p 392–396

  7. Bas P, Filler T, Pevny T (2011) “Break our steganographic system”: the ins and outs of organizing BOSS International Workshop on information hiding, Springer, vol. 6958, p 59–70

  8. Bhattacharyya D, Dutta J, Das P, Bandyopadhyay R, Bandyopadhyay SK, Kim T-H (2009) Discrete fourier transformation based image authentication technique. 8th IEEE International Conference on Cognitive Informatics( ICCI'09), p 196–200

  9. Calderbank A, Daubechies I, Sweldens W, Yeo B-L (1997) Lossless image compression using integer to integer wavelet transforms. International Conference on Image Processing, ICIP, p 596–599

  10. Chan C-S (2009) On using LSB matching function for data hiding in pixels. Fundamenta Informaticae 96:49–59

    Google Scholar 

  11. Chen P-Y, Lin H-J et al (2006) A DWT based approach for image steganography. International Journal of Applied Science and Engineering 4(3):275–290

    Google Scholar 

  12. Cox IJ, Kalker T, Pakura G, Scheel M (2005) Information transmission and steganography. Proceeding of the 4th International Workshop on Digital Watermarking, Springer, vol. 3710, p 15–29

  13. Cox I, Miller M, Bloom J, Fridrich J, Kalker T (2007) Digital watermarking and steganography. Morgan Kauffman, Burlington

    Google Scholar 

  14. Crandall R (1998) Some notes on steganography. Posted on steganography mailing list

  15. Dey S, Abraham A, Sanyal S (2007) An LSB Data Hiding Technique Using Prime Numbers. Third International Symposium on Information Assurance and Security, IAS 2007, IEEE, p 101–108

  16. Dey S, Abraham A, Sanyal S (2007) An LSB Data Hiding Technique Using Natural Number Decomposition. Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007, IEEE, vol. 2, p 473–476

  17. Fridrich J, Goljan M (2004) On estimation of secret message length in LSB steganography in spatial domain. Proc. SPIE Electronic Imaging Security Forensics Steganography and Watermarking of Multimedia Contents, p 23–34

  18. Fridrich J, Lisonek P, Soukal D (2007) On steganographic embedding efficiency. International Workshop on information hiding. Springer, p 282–296

  19. Iranpour M, Farokhian F (2013) Minimal distortion steganography using well-defined functions. 10th International Conference on high Capacity Optical Networks and Enabling Technologies (HONET-CNS), Magosa, Cyprus, p 21–24

  20. Ker AD (2005) Improved detection of LSB steganography in grayscale images. International Workshop on information hiding. Springer, p 97–115

  21. Ker AD (2005) A general framework for structural steganalysis of LSB replacement. International Workshop on information hiding, Springer,vol. 3427, p 296–311

  22. Ker AD, Bohme R (2008) Revisiting weighted stego-image steganalysis. Proc. SPIE Electronic Imaging Security Forensics Steganography and Watermarking of Multimedia Contents, vol. 6819

  23. Ker AD, Bas P, Bohme R, Cogranne R, Craver S, Filler T, Fridrich J, Pevny T (2013) Moving steganography and steganalysis from the laboratory into the real world. Proceedings of the first ACM workshop on Information hiding and multimedia security, p 45–58

  24. Lin G-S, Chan Y-T, Lie W-N (2010) A framework of enhancing image steganography with picture quality optimization and anti-steganalysis based on simulated annealing algorithm. IEEE Transactions on Multimedia 12:345–357

    Article  Google Scholar 

  25. Lin Y-T, Wang C-M, Chen W-S, Lin F-P, Lin W (2017) A novel data hiding algorithm for high dynamic range images. IEEE Transactions on Multimedia 19:196–211

    Article  Google Scholar 

  26. Luo W, Huang F, Huang J (2010) Edge adaptive image steganography based on LSB matching revisited. IEEE Transactions on Information Forensics and Security 5:201–214

    Article  Google Scholar 

  27. Mielikainen J (2006) LSB matching revisited. IEEE Signal Processing Letters 13:285–287

    Article  Google Scholar 

  28. Picione DDL, Battisti F, Carli M, Astola J, Egiazarian K (2006) A Fibonacci LSB data hiding tecnique. 14th European Signal Processing Conference (EUSIPCO), p 1–5

  29. Sharp T (2001) An implementation of key-based digital signal steganography. International Workshop on information hiding. Springer, p 13–26

  30. Viterbi U (1981) USC-SIPI image database. USC University of Southren California

  31. Westfeld A (2001) F5—a steganographic algorithm. International Workshop on Information hiding, Springer, USA, p 289–302

  32. Zhang T, Ping X (2003) Reliable detection of LSB steganography based on the difference image histogram. AIEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP'03), vol. 1, p 54–548

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alan A. Abdulla.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Fig. 14
figure 14

Diagram for embedding procedure for the proposed image-based steganography

Fig. 15
figure 15

Diagram for extracting procedure for the proposed image-based steganography

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abdulla, A.A., Sellahewa, H. & Jassim, S.A. Improving embedding efficiency for digital steganography by exploiting similarities between secret and cover images. Multimed Tools Appl 78, 17799–17823 (2019). https://doi.org/10.1007/s11042-019-7166-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-019-7166-7

Keywords

Navigation