Abstract
This paper presented new models to hide sensitive data via Arabic text steganography. The models are structured to serve personal remembrance of secret shares to be used within counting-based secret sharing technique. This research hides secret shares adopting humanized remembrance tool to serve uncontrolled assigned shares, which are generated from the security system via automatically authentic target key generation process. The shares in their original secret sharing process are challenging to be memorized unlike normal password assignment that is enjoying the full personal selection. Therefore, our models for hiding secret shares are proposed to be hidden inside the personally chosen texts utilizing improved Arabic text steganography. This steganography models study is based on Kashida extension character used redundant within Arabic writing text. The research tests our two proposed modifications to original Arabic text steganography all serving secret sharing on the same text database. The comparisons examined the different models on the same benchmark of Imam Nawawi's forty hadeeth collected by Islamic Scholar: Yahya ibn Sharaf an-Nawawi as standard text statements (40 Prophet Hadiths) showing interesting results and promising research contributions.