Arabic Language text Steganography Besed on Microsoft Word documents

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Authors

  • Assist.prof. Dr. Hanaa M. Ahmed Computer Science Department University of Technology Baghdad, Iraq
  • PhD Students: Maisa'a A. A. Khohder Computer Science Department University of Technology Baghdad, Iraq

Keywords:

Arabic text, Linguistic Steganography, random Singular Value Decomposition (RSVD), quotation mark, Transform Based

Abstract

The fast evolution of internet innocent over communication in the net environment become an important research trend. Steganography is meaning that secure information is embedded into cover data unnoticeably for transmitted. Linguistic steganography is covering all the techniques that deal with using written natural language to hide secret message. This paper, it presents a linguistic steganography in arabic texts, using single quotation mark and double quotation mark that transform on the bases of using new technique entitled RSVD Image as allocation to hide secret message. The proposed that approach is an attempt to present a transform linguistic steganography using levels for hiding to improve implementation of quotation mark, and improve the security of the secret message using RSVD Image. The proposed algorithm is achieved perfect steganography properties such as capacity, security, transparency, and robustness.

Author Biographies

Assist.prof. Dr. Hanaa M. Ahmed, Computer Science Department University of Technology Baghdad, Iraq



PhD Students: Maisa'a A. A. Khohder, Computer Science Department University of Technology Baghdad, Iraq



Published

2026-05-03

How to Cite

Assist.prof. Dr. Hanaa M. Ahmed, & PhD Students: Maisa'a A. A. Khohder. (2026). Arabic Language text Steganography Besed on Microsoft Word documents: , , , , . AL-Yarmouk Journal, 7(1), 138–158. Retrieved from https://journal.al-yarmok.edu.iq/index.php/alyj/article/view/1720

Issue

Section

Articles