Advanced Text Steganography Using Variational Autoencoders and Greedy Sampling

Tarush Chintala, Ritesh Mishra, Shobana J.

2025

Abstract

Text steganography applies language use as a cover for the covert communication by embedding secret messages within apparently ordinary text. Our proposal involves a new strategy for performing text steganography utilizing a VAE along with a transformer-based model for encoding and decoding secret messages. This approach uses BERT-based encoder to learn latent representations of cover texts, allowing for embedding hidden information in such a way that the text could be linguistically coherent and fluent. A greedy algorithm is used for embedding messages into token sequences and developing techniques for the robust extraction of messages. To generalize to different domains of text, the model is trained on diverse datasets including social media posts and news articles. Experimental results show that the approach presented yields very high embedding capacity with minimal distortion and can thus provide a reliable and scalable solution to secure text-based steganography. Further validation of the system is done by encoding and decoding text messages and then measuring the model in terms of accuracy and text quality compared to baseline approaches.

Paper Citation

in Harvard Style

Chintala T., Mishra R. and J. S. (2025). Advanced Text Steganography Using Variational Autoencoders and Greedy Sampling. 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 811-817. DOI: 10.5220/0013921200004919

in Bibtex Style

@conference{icrdicct`2525,
author={Tarush Chintala and Ritesh Mishra and Shobana J.},
title={Advanced Text Steganography Using Variational Autoencoders and Greedy Sampling},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={811-817},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013921200004919},
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 - Advanced Text Steganography Using Variational Autoencoders and Greedy Sampling
SN - 978-989-758-777-1
AU - Chintala T.
AU - Mishra R.
AU - J. S.
PY - 2025
SP - 811
EP - 817
DO - 10.5220/0013921200004919
PB - SciTePress