Arabic calligraphy-based text steganography framework with biologically-encoded secret messages, enhanced embedding capacity and automated extraction

Text steganography faces challenges due to limited redundancy in text and the ease of detecting alterations. Linguistic steganography leverages language variability to conceal data, with Arabic offering unique opportunities through its typographical features, particularly in calligraphy. This articl...

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Auteurs principaux:	Mohammad Nassef, Ali A. Hamzah
Format:	Artigo
Langue:	Inglês
Publié:	PeerJ Inc. 2026-07-01
Collection:	PeerJ Computer Science
Sujets:	Steganography Information hiding Linguistic steganography Arabic text steganography Biological encoder Deep learning
Accès en ligne:	https://peerj.com/articles/cs-3931.pdf
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