Abstract: Steganography is the process of hiding secret data inside other media or cover media. Balancing the requirements for capacity, security, and imperceptibility is the main challenge for any successful steganography system. In text steganography, the data hiding capacity is limited because of the lack of redundant data compared to other digital media, such as images, video, or audio. Other challenges in text steganography are imperceptibility and security. Poor imperceptibility results from the structure of the text file, which is more visually apparent in terms of syntax and grammar than in other media. Low level of security results from the sequential selection of positions for embedding secret data due to insufficient redundant data in a text file. Therefore, an attacker or a third party would notice slight changes in the text file. This paper proposes a new text steganography method that combines cryptography and compression techniques to deal with these issues. This technique is used to conceal secret data to achieve high data hiding capacity in the cover text while maintaining security and imperceptibility. Multilayer encoding and Format-Preserving Encryption (FPE) with Huffman Coding, are applied to secret data before embedding. Invisible Unicode characters are employed to embed secret data into English text files to generate stego files. Results show that the proposed method satisfies capacity and imperceptibility in the cover file by comparing it with previously developed methods.

Mohammed Abdul Majeed, Rossilawati Sulaiman and Zarina Shukur, “New Text Steganography Technique based on Multilayer Encoding with Format-Preserving Encryption and Huffman Coding” International Journal of Advanced Computer Science and Applications(IJACSA), 13(12), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131222

@article{Majeed2022,
title = {New Text Steganography Technique based on Multilayer Encoding with Format-Preserving Encryption and Huffman Coding},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131222},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131222},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {12},
author = {Mohammed Abdul Majeed and Rossilawati Sulaiman and Zarina Shukur}
}