Skip to main content

A Combined Approach of Steganography and Cryptography with Generative Adversarial Networks: Survey

  • Conference paper
  • First Online:
Intelligent System Design

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 494))

  • 494 Accesses

Abstract

Secure transformation of data over public networks like the Internet is nothing but achieving authenticity, secrecy, and confidentiality in secure data transmission is now the primary concern. These issues may be solved by using data hiding techniques. Steganography, cryptography, and watermarking techniques are used to hide data and ensure its security during transmission. Objective of this submission is to analyze and examine several methods of deep learning in image cryptography and steganography. The hidden message is revealed via steganography, but its format is altered through cryptography. Steganography and cryptography are both essential and robust techniques. This paper’s primary goal is to explore several integrating steganography with encryption to create a hybrid system. In addition, specific differences were also given between cryptography and steganographic approaches. This paper aims to help other researchers’ summaries current trends, problems, and possible future directions in this area.

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 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight 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. El-kenawy E-S, Saber M, Arnous R (2019) An integrated framework to ensure information security over the internet. Int J Comput Appl 178:13–15. https://doi.org/10.5120/ijca2019919117

    Article  Google Scholar 

  2. Alqadi Z (2020) Image blocking to hide secret message. Int J Comput Sci Mob Comput 9. https://doi.org/10.47760/ijcsmc.2020.v09i11.002

  3. Asratian R (2019) Protected message processing in distributed systems on the basis of cryptographic message syntax. Inform Tehnol 25:435–440. https://doi.org/10.17587/it.25.435-440

  4. Chandra P, Suhartana I (2021) Web-based image steganography application to hide secret messages. JELIKU (J Elektr Ilmu Komput Udayana) 9(375). https://doi.org/10.24843/JLK.2021.v09.i03.p08

  5. Zaidan BB, Zaidan AA, Al-Frajat AK, Jalab HA (2010) On the differences between hiding information and cryptography techniques: an overview. J Appl Sci (Faisalabad) 10:1650–1655

    Google Scholar 

  6. Gupta Vibhor, Metha G (2018) Medical data security using cryptography, pp 866–869. https://doi.org/10.1109/CONFLUENCE.2018.8442712

  7. Rahim R, Adyaraka D, Sallu S, Sarimanah E, Hidayat A, Sewang A, Hartinah S (2018) An application data security with lempel-ziv welch and blowfish. Int J Eng Technol (UAE) 7:71–73

    Google Scholar 

  8. Singh A, Gilhotra R (2011) Data security using private key encryption system based on arithmetic coding. Int J Netw Secur Appl (IJNSA) 3. https://doi.org/10.5121/ijnsa.2011.3305

  9. Sheshasaayee A, Anandapriya B (2017) Digital signatures security using cryptography for industrial applications, pp 379–382. https://doi.org/10.1109/ICIMIA.2017.7975640

  10. Lyubashevsky V, Micciancio D (2017) Asymptotically efficient lattice-based digital signatures. J Cryptol 31. https://doi.org/10.1007/s00145-017-9270-z

  11. Khan S, Yousaf MH, Wahid M (2015) Variable least significant bits garyscale image Stegnography. Pak J Sci 67:281–287

    Google Scholar 

  12. Bajwa I, Riasat R (2011) A new perfect hashing based approach for secure stegnography. In: 2011 6th International conference on digital information management, ICDIM 2011. https://doi.org/10.1109/ICDIM.2011.6093325

  13. Islam AU, Khalid F, Shah M, Khan Z, Mahmood T, Khan A, Ali U, Naeem M (2016) An improved image steganography technique based on MSB using bit differencing. In2016 Sixth international conference on innovative computing technology, pp 265–269. https://doi.org/10.1109/INTECH.2016.7845020

  14. Singh A, Singh H (2015) An improved LSB based image steganography technique for RGB images, pp 1–4. https://doi.org/10.1109/ICECCT.2015.7226122

  15. Qu Z, Cheng Z, Liu W, Wang X (2019) A novel quantum image steganography algorithm based on exploiting modification direction. Multimedia Tools Appl 78. https://doi.org/10.1007/s11042-018-6476-5

  16. Dhamija A, Dhaka V (2015) A novel cryptographic and steganographic approach for secure cloud data migration. https://doi.org/10.1109/ICGCIoT.2015.7380486

  17. Pv, Vijay &Vijayalakshmi, V. &Godandapani, Zayaraz (2016) An improved level of security for DNA steganography using hyperelliptic curve cryptography. Wireless Pers Commun 89. https://doi.org/10.1007/s11277-016-3313-x

  18. Balaji P, Murugan K, Srinivasan K, Shridevi S, Shamsudheen S, Hu Y-C (2021) Improved authentication and computation of medical data transmission in the secure IoT using hyperelliptic curve cryptography. J Supercomput. https://doi.org/10.1007/s11227-021-03861-x

    Article  Google Scholar 

  19. Qian Y, Dong J, Wang W, Tan T (2015) Deep learning for steganalysis via convolutional neural networks. In: Proceedings of SPIE—the international society for optical engineering, p 9409. https://doi.org/10.1117/12.2083479

  20. Qian Y, Dong J, Wang W, Tan T (2016) Learning and transferring representations for image steganalysis using convolutional neural network, pp 2752–2756. https://doi.org/10.1109/ICIP.2016.7532860

  21. Duan X, Li B, Guo D, Zhang Z, Ma Y (2020) A coverless steganography method based on generative adversarial network. EURASIP J Image Video Process. https://doi.org/10.1186/s13640-020-00506-6

  22. Chen X, Zhang Z, Qiu A, Xia Z, Xiong N (2020) A novel coverless steganography method based on image selection and StarGAN. IEEE Trans Netw Sci Eng 1–1. https://doi.org/10.1109/TNSE.2020.3041529

  23. Li S, Wang J, Liu P, Wei M, Yan Q (2021) Detection of multiple steganography methods in compressed speech based on code element embedding, Bi-LSTM and CNN with attention mechanisms. IEEE/ACM Trans Audio Speech Lang Process 29:1556–1569. https://doi.org/10.1109/TASLP.2021.3074752

    Article  Google Scholar 

  24. Zhang Z, Liu J, Ke Y, Lei Y, Li J, Zhang M, Yang X (2019) Generative steganography by sampling. IEEE Access 1–1. https://doi.org/10.1109/ACCESS.2019.2920313

  25. Ke Y, Zhang MQ, Liu J, Su TT, Yang XY (2019) Generative steganography with Kerckhoffs’ principle. Multimedia Tools Appl 78(10):13805–13818. https://doi.org/10.1007/s11042-018-6640-y

  26. Yang Z, Xiang L, Zhang S, Sun X, Huang Y (2021) Linguistic generative steganography with enhanced cognitive-imperceptibility. IEEE Signal Process Lett 1–1. https://doi.org/10.1109/LSP.2021.3058889

  27. Yu C, Hu D, Zheng S, Jiang W, Li M, Zhao Z-Q (2021) An improved steganography without embedding based on attention GAN. Peer-to-Peer Netw Appl 14:1–12. https://doi.org/10.1007/s12083-020-01033-x

    Article  Google Scholar 

  28. Chen L, Wang R, Yan D, Wang J (2021) Learning to generate steganographic cover for audio steganography using gan. IEEE Access 1–1. https://doi.org/10.1109/ACCESS.2021.3090445

  29. Chang C-C (2021) Cryptospace invertible steganography with conditional generative adversarial networks. Secur Commun Netw 2021:1–14. https://doi.org/10.1155/2021/5538720

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kakunuri Sandya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 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

Sandya, K., Kompella, S. (2023). A Combined Approach of Steganography and Cryptography with Generative Adversarial Networks: Survey. In: Bhateja, V., Sunitha, K.V.N., Chen, YW., Zhang, YD. (eds) Intelligent System Design. Lecture Notes in Networks and Systems, vol 494. Springer, Singapore. https://doi.org/10.1007/978-981-19-4863-3_18

Download citation

Publish with us

Policies and ethics