A Novel Method for Embedding and Extracting Secret Messages in Textual Documents based on Paragraph Resizing

Benjamin Aziz, Aysha Bukhelli, Rinat Khusainov, Alaa Mohasseb

2022

Abstract

The ancient technique of information hiding known as text steganography has enjoyed much research in recent years due to the rising popularity of social media platforms and the abundant availability of online literature and other text as cover media for steganography. Whilst the majority of the research approaches have focused on manipulating or replacing text, in some form or another, to embed secret information, the utilisation of the structure of the document itself for such embedding has rarely been researched. Therefore, we propose in this short paper a new approach for embedding secret messages in textual documents based on the splitting, merging, and resizing of paragraph text. The size comparison between adjacent paragraphs embeds one bit of information. We outline only the basic idea and define the syntax and semantics of the embedding language.

Paper Citation

in Harvard Style

Aziz B., Bukhelli A., Khusainov R. and Mohasseb A. (2022). A Novel Method for Embedding and Extracting Secret Messages in Textual Documents based on Paragraph Resizing. In Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-590-6, pages 714-719. DOI: 10.5220/0011384200003283

in Bibtex Style

@conference{secrypt22,
author={Benjamin Aziz and Aysha Bukhelli and Rinat Khusainov and Alaa Mohasseb},
title={A Novel Method for Embedding and Extracting Secret Messages in Textual Documents based on Paragraph Resizing},
booktitle={Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT,},
year={2022},
pages={714-719},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011384200003283},
isbn={978-989-758-590-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - A Novel Method for Embedding and Extracting Secret Messages in Textual Documents based on Paragraph Resizing
SN - 978-989-758-590-6
AU - Aziz B.
AU - Bukhelli A.
AU - Khusainov R.
AU - Mohasseb A.
PY - 2022
SP - 714
EP - 719
DO - 10.5220/0011384200003283