Arabic language document steganography based on Huffman code using DRLR as (RNG)
Other Title(s)
إخفاء المعلومات لوثائق اللغة العربية بالاعتماد على ترميز هوفمان باستخدام الديناميكية العشوائية للانحدار الخطي كتوليد الرقم العشوائي
Joint Authors
Ahmad, Hana Muhsin
Khidr, Maysa Abd Ali
Source
Issue
Vol. 2016, Issue 26 (31 Dec. 2016), pp.57-84, 28 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
28
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this research the problem of ownership of text is processed in several methods.
The secret message can be used for verification (ID).
All other methods can hide a secret message or (ID) inside text.
It can be found all these methods can change secret message when personal ownership is embedded in the text, this research offers problem solution by hiding in protocol in Arabic scripts.
The new method depends on subtraction of cover text from original secret message different from original message to obtain the new secret message, to embedded into other texts.
And this method uses two levels method to hide a new secret message.
Linguistic Steganography covers all the techniques that deal with using written natural language to hide secret message.
This research, presents a linguistic steganography for Arabic language documents, using Kashida and Fast Fourier Transform on the basis of using new technique which is Secret Message Compression (SMC) to obtain a new a secret message using dynamic random linear regression (DRLR) as location to hide a secret message.
The proposed approach is an attempt to present a transform linguistic steganography using levels for hiding to improve implementation of kashida, and to improve the security of the secret message by using dynamic random linear regression (DRLR).
The proposed algorithm has achieved typical steganography properties such as capacity, security, transparency, and robustness.
American Psychological Association (APA)
Ahmad, Hana Muhsin& Khidr, Maysa Abd Ali. 2016. Arabic language document steganography based on Huffman code using DRLR as (RNG). al-Mansour،Vol. 2016, no. 26, pp.57-84.
https://search.emarefa.net/detail/BIM-733185
Modern Language Association (MLA)
Ahmad, Hana Muhsin& Khidr, Maysa Abd Ali. Arabic language document steganography based on Huffman code using DRLR as (RNG). al-Mansour No. 26 (2016), pp.57-84.
https://search.emarefa.net/detail/BIM-733185
American Medical Association (AMA)
Ahmad, Hana Muhsin& Khidr, Maysa Abd Ali. Arabic language document steganography based on Huffman code using DRLR as (RNG). al-Mansour. 2016. Vol. 2016, no. 26, pp.57-84.
https://search.emarefa.net/detail/BIM-733185
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 82-83
Record ID
BIM-733185