High Payload Image Steganography Using DNN Classification and Adaptive Difference Expansion-Reference-Cited by-同舟云学术

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High Payload Image Steganography Using DNN Classification and Adaptive Difference Expansion

Published:2024-02 Issue:3 Volume:134 Page:1349-1366
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Dash Shreela^ORCID,Behera Dayal Kumar,Swetanisha Subhra,Das Madhabananda

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11277-024-10944-4.pdf

Reference35 articles.

1. Kaur, S., Singh, S., Kaur, M., & Lee, H. N. (2022). A systematic review of computational image steganography approaches. Archives of Computational Methods in Engineering, 29(7), 4775–4797. https://doi.org/10.1007/s11831-022-09749-0

2. Douglas, M., Bailey, K., Leeney, M., & Curran, K. (2018). An overview of steganography techniques applied to the protection of biometric data. Multimedia Tools and Applications, 77(13), 17333–17373. https://doi.org/10.1007/s11042-017-5308-3

3. Jung, K. H. (2018). High-capacity reversible data hiding method using block expansion in digital images. Journal of Real-Time Image Processing, 14(1), 159–170. https://doi.org/10.1007/s11554-016-0618-7

4. Sahu, A. K., & Swain, G. (2016). A review on LSB substitution and PVD based image steganography techniques. Indonesian Journal of Electrical Engineering and Computer Science, 2(3), 712–719. https://doi.org/10.11591/ijeecs.v2.i3.pp712-719

5. Rajendran, S., & Doraipandian, M. (2017). Chaotic map based random image steganography using LSB technique. Int. J. Netw. Secur., 19(4), 593–598. https://doi.org/10.6633/IJNS.201707.19(4).12

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1. A Hybrid Framework for Secure Communication Integrating HMAC and GAN Algorithm;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

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