An Automated Cover Text Selection System for Text Steganography Algorithms
Anandaprova Majumder, Suvamoy Changder · 2022
With the abundance of digital text in social media, text steganography has become a lucrative approach for hidden communication. Different text steganography methods have been proposed in recent days but nothing is found for automation of existing manual cover text selection. This chapter presents an automated cover selection system with an aim of faster stego-text generation. Analyzing different attributes of secret texts, requirement study of chosen stego-algorithms and further application of fuzzy clustering finally finds the most accurate cover text from a pre-collected cover-text-bank. An interactive system has been designed in this regard, considering stego-algorithms and secret texts as input. A threshold secret text vector is generated by analyzing the inputs, and cover text vectors are also obtained from each cover text of the cover-text-bank. Fuzzy clustering method finally finds the closest cover text, able to hide the chosen secret text using the chosen stego-algorithm. The proposed method is experimentally tested and verified to be an accurate and effective one.