Reversible Generative Steganography Leveraging Distribution Preserving Encoding for Enhanced Data Security and Integrity

J. Uthayakumar, S. Sreeraj, C. Sandhiya, Ram Ganesh G. H., T. Mohanraj, R. Senthilkumar

2025

Abstract

Distribution-Preserving encoding combined with reversible generative steganography has been a key development in safe data embedding and retrieval. Achieving lossless recovery is difficult with traditional stenographic approaches since they frequently compromise reversibility and data integrity. In this paper, a novel framework that combines a distribution-preserving encoding technique with reversible generative steganography is proposed. The suggested technique embeds cover images with hidden messages while guaranteeing that the encoded data maintains its statistical characteristics. In order to ensure imperceptibility and reversibility, our method uses a deep generative model to map the secret message into a latent space while maintaining the data distribution. In order to recover the original secret message without distortion, a stego-image is created and decoded using an inverse generative model. We perform extensive tests on benchmark datasets to assess the efficacy of our system, proving full reversibility, improved embedding capability, and security. Our methodology offers state-of-the-art performance, ensuring lossless information retrieval and preserving high quality in cover images when compared to conventional methods.

Paper Citation

in Harvard Style

Uthayakumar J., Sreeraj S., Sandhiya C., H. R., Mohanraj T. and Senthilkumar R. (2025). Reversible Generative Steganography Leveraging Distribution Preserving Encoding for Enhanced Data Security and Integrity. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 723-730. DOI: 10.5220/0013889000004919

in Bibtex Style

@conference{icrdicct`2525,
author={J. Uthayakumar and S. Sreeraj and C. Sandhiya and Ram H. and T. Mohanraj and R. Senthilkumar},
title={Reversible Generative Steganography Leveraging Distribution Preserving Encoding for Enhanced Data Security and Integrity},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={723-730},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013889000004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Reversible Generative Steganography Leveraging Distribution Preserving Encoding for Enhanced Data Security and Integrity
SN - 978-989-758-777-1
AU - Uthayakumar J.
AU - Sreeraj S.
AU - Sandhiya C.
AU - H. R.
AU - Mohanraj T.
AU - Senthilkumar R.
PY - 2025
SP - 723
EP - 730
DO - 10.5220/0013889000004919
PB - SciTePress