![](/images/graphics-bg.png)
Unicode with rules Arabic text data hiding
Author
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 8, Issue 1 (31 Mar. 2018), pp.52-76, 25 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2018-03-31
Country of Publication
Iraq
No. of Pages
25
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
Text documents are the unavoidable form of information communication among humans, research papers on text hiding techniques are less in contrast to other cover object‘s techniques.
This is due to that text documents have relatively less number of features (less redundant), that can be used to hide data in comparison with other cover object types (image, audio, and video).
In this paper, text hiding (Text-in-Text data hiding), algorithms is proposed and then coded in Matlab (m-files) form.
The algorithm represents a new technique.
It has many advantages over other existing text-in-text hiding techniques.
These advantages include the usage of Arabic or Arabic-English mixed for both the secret and cover text with the aids of two of the nonprinting Unicode characters.
Also applying new hiding rules concerning Arabic writing system.
The cover text classified into groups of Arabic letters each with specific features and thus hiding text between letters from these groups must be controlled by these new text hiding rules.
Matlab programs for embedding and extracting the secret text, according to the new approach, are tested and the outputs have been found very satisfying.
Both secret and cover text have the same original format and text configuration.
American Psychological Association (APA)
Khami, Muhammad Jawar. 2018. Unicode with rules Arabic text data hiding. Journal of College of Education for Pure Sciences،Vol. 8, no. 1, pp.52-76.
https://search.emarefa.net/detail/BIM-831981
Modern Language Association (MLA)
Khami, Muhammad Jawar. Unicode with rules Arabic text data hiding. Journal of College of Education for Pure Sciences Vol. 8, no. 1 (Mar. 2018), pp.52-76.
https://search.emarefa.net/detail/BIM-831981
American Medical Association (AMA)
Khami, Muhammad Jawar. Unicode with rules Arabic text data hiding. Journal of College of Education for Pure Sciences. 2018. Vol. 8, no. 1, pp.52-76.
https://search.emarefa.net/detail/BIM-831981
Data Type
Journal Articles
Language
English
Notes
Includes appendices : p. 63-75
Record ID
BIM-831981