An Efficient Approach to Hide Compressed Voice Data in Arabic Text using Kashida and "La"

Abstract

In this research, we propose a new approach to increase the capacity and enhance the reliability of hiding voice data in Arabic text. Using Kashida to hide bits in Arabic text is one of the most promising approaches in steganography. Unfortunately, ignoring the original Kashida in the cover text may affect the results significantly and produce inaccurate results in the extraction process. In this study, we propose tremendous improvements to the Kashida method by considering original Kashida(-) in the cover text, error-detection using Cyclic Redundancy Check (CRC) and hiding bit using the "La" word. Moreover, hiding voice files within Arabic text is considered. The proposed approach is compared with the most related approaches in terms of capacity, security and reliability. Not only are the findings of the paper promising, they also overcome the limitations of other approaches.