English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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.

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