Skip to main content

A Proposal of Digital Image Steganography and Forensics Based on the Structure of File Storage

  • Conference paper
  • First Online:
Proceedings of the 11th International Conference on Computer Engineering and Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 808))

  • 2272 Accesses

Abstract

Steganography is a technology for transmitting secret messages in public channel by embedding secret information into a digital carrier. It has a wide range of applications in the Internet security thus has attracted great interests. Among all kinds of digital carriers, digital image has outstanding performance. To the best of our knowledge, the researches on image steganography mainly focus on the use of the feature of digital image in the spatial or frequency domain, while there are few researches on hiding information through the file format structure. Taking JPEG image standard as an example, this paper analyzes the file format structure as well as the compression procedure and reports a novel proposal of image steganography and forensics. The proposal uses the redundant channel between any marker segments in the JPEG format structure to embed the secret information. The validity of the proposal has been proved by experiments, and further study has shown that this proposal has no limitation on the hiding capacity and has good practicability.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 469.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 599.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 599.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Bender, W., Gruhl, D., Morimoto, N., et al.: Techniques for data hiding. IBM Syst. J. 35(3), 313–336 (1996)

    Article  Google Scholar 

  2. Petitcolas, F., Anderson, R., Kuhn, M.: Information hiding-a survey. Proc. IEEE 87(7), 1062–1078 (1999)

    Article  Google Scholar 

  3. Luo, X.Y., Wang, D.S., Ping, W., et al.: A review on blind detection for image steganography. Signal Process. 88(9), 2138–2157 (2008)

    Article  Google Scholar 

  4. Akbar, F., Purboyo, T., Latuconsina, R.: A study of text steganography methods. J. Eng. Appl. Sci. 15(2), 369–372 (2019)

    Article  Google Scholar 

  5. Fu, Z., Sun, X., Liu, Y., et al.: Text split-based steganography in OOXML format documents for covert communication. Secur. Commun. Netw. 5(9), 957–968 (2012)

    Article  Google Scholar 

  6. Ramakrishnan, B.K., et al.: Text steganography: a novel character-level embedding algorithm using font attribute. Secur. Commun. Netw. 9(18), 6066–6079 (2016)

    Google Scholar 

  7. Muhammad, K., Ahmad, J., Rho, S., et al.: Image steganography for authenticity of visual contents in social networks. Multimed. Tools Appl. 76(18), 18985–19004 (2017)

    Article  Google Scholar 

  8. Sharif, A., Mollaeefar, M., Nazari, M.: A novel method for digital image steganography based on a new three-dimensional chaotic map. Multimed. Tools Appl. 76(6), 7849–7867 (2017)

    Article  Google Scholar 

  9. Wang, X., Zhao, H., Hou, Y., et al.: Chaotic image encryption algorithm based on pseudo-random bit sequence and DNA plane. Mod. Phys. Lett. B 33(22), 1950263 (2019)

    Article  MathSciNet  Google Scholar 

  10. Zhang, Y.: The fast image encryption algorithm based on lifting scheme and chaos. Inf. Sci. 520, 177–194 (2020)

    Article  MathSciNet  Google Scholar 

  11. Yi, Z., Qin, C., Zhang, W., et al.: On the Fault-tolerant performance for a class of robust image steganography. Signal Process. 146(5), 99–111 (2018)

    Google Scholar 

  12. Mo, M.B., et al.: Deep residual network for steganalysis of digital images. IEEE Trans. Inf. Forensics Secur. 14(5), 1181–1193 (2018)

    Google Scholar 

  13. Xin, L., Yin, J., Guo, S., et al.: Medical JPEG image steganography based on preserving inter-block dependencies. Comput. Electr. Eng. 67, 320–329 (2017)

    Google Scholar 

  14. Ni, J., Hu, X., Shi, Y.Q.: Efficient JPEG steganography using domain transformation of embedding entropy. IEEE Signal Process. Lett. 25(6), 773–777 (2018)

    Article  Google Scholar 

  15. Fu, Z.J., Wang, F., Sun, X.M., Wang, Y.: Research on steganography of digital images based on deep learning. Chin. J. Comput. 43(9), 1656–1672 (2020)

    Google Scholar 

  16. Chutani, S., Goyal, A.: A review of forensic approaches to digital image Steganalysis. Multimed. Tools Appl. 78(13), 18169–18204 (2019)

    Article  Google Scholar 

  17. Gopi, A., Selvaraj, A., Jebarani, W.: Digital image steganalysis: a survey on paradigm shift from machine learning to deep learning based techniques. IET Image Proc. 15(2), 504–522 (2020)

    Google Scholar 

  18. Dalal, M., Juneja, M.: Steganography and Steganalysis (in digital forensics): a cybersecurity guide. Multimed. Tools Appl. 80(4), 5723–5771 (2020)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chen Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, C. (2022). A Proposal of Digital Image Steganography and Forensics Based on the Structure of File Storage. In: Liu, Q., Liu, X., Chen, B., Zhang, Y., Peng, J. (eds) Proceedings of the 11th International Conference on Computer Engineering and Networks. Lecture Notes in Electrical Engineering, vol 808. Springer, Singapore. https://doi.org/10.1007/978-981-16-6554-7_79

Download citation

Publish with us

Policies and ethics