Arabic Language Script Steganography Based on Dynamic Random Linear Regression

المؤلفون

  • Hanaa M. Ahmed

الملخص

In this research, I have process a problem for all previous methods used to hide information within texts. It is possible attack on them easily. But when I used method of concealment using kashida or cancel kashida. In order to prevent the attack it, in this method. In this research is offer in a new method and to use two levels to hide, the first level is hiding by embedding and addition but the second level is hiding by injection. The first level is embed a secret message one bit in the LSB in the FFT and the addition of one kashida. Using DRLR is NRG to find position that are hiding within the text. The second level is the injection one or two random kashida within the text.
Linguistic steganography is covering all the techniques that deal with using written natural language to hide secret message. in this research presents a linguistic steganography for scripts written in Arabic language, using kashida and Fast Fourier Transform on the bases of using new technique entitled Dynamic Random Linear Regression as allocation to hide secret message. The proposed approach is an attempt to present a transform linguistic steganography using levels for hiding to improve implementation of kashida, and improve the security of the secret message by using Dynamic Random Linear Regression.
Are testing this method in terms of security and capacity, transparency, and robustness and this is way better than previous methods. The proposed algorithm optimized steganography properties.

التنزيلات

منشور

2020-09-20

كيفية الاقتباس

M. Ahmed, H. (2020). Arabic Language Script Steganography Based on Dynamic Random Linear Regression. مجلة المستنصرية للعلوم والتربية, 17(1), 397–414. استرجع في من https://edumag.uomustansiriyah.edu.iq/index.php/mjse/article/view/121

إصدار

القسم

Research Article