scholarly journals Traid-bit embedding process on Arabic text steganography method

2021 ◽  
Vol 10 (1) ◽  
pp. 493-500
Author(s):  
Roshidi Din ◽  
Reema Ahmed Thabit ◽  
Nur Izura Udzir ◽  
Sunariya Utama
Keyword(s):  
Intellectual Property ◽  
Continuous Improvement ◽  
High Capacity ◽  
Arabic Language ◽  
The Internet ◽  
Arabic Text ◽  
Art And Science ◽  
Text Steganography ◽  
Sharp Edges ◽  
Audio Video

The enormous development in the utilization of the Internet has driven by a continuous improvement in the region of security. The enhancement of the security embedded techniques is applied to save the intellectual property. There are numerous types of security mechanisms. Steganography is the art and science of concealing secret information inside a cover media such as image, audio, video and text, without drawing any suspicion to the eavesdropper. The text is ideal for steganography due to its ubiquity. There are many steganography embedded techniques used Arabic language to embed the hidden message in the cover text. Kashida, Shifting Point and Sharp-edges are the three Arabic steganography embedded techniques with high capacity. However, these three techniques have lack of performance to embed the hidden message into the cover text. This paper present about traid-bit method by integrating these three Arabic text steganography embedded techniques. It is an effective way to evaluate many embedded techniques at the same time, and introduced one solution for various cases.

scholarly journals A Novel High-Capacity Behavioral Steganographic Method Combining Timestamp Modulation and Carrier Selection Based on Social Networks

Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 111
Author(s):  
Mingliang Zhang ◽  
Zhenyu Li ◽  
Pei Zhang ◽  
Yi Zhang ◽  
Xiangyang Luo
Keyword(s):  
Social Networks ◽  
High Frequency ◽  
High Capacity ◽  
Extraction Process ◽  
Secret Message ◽  
Covert Communication ◽  
Embedding Capacity ◽  
Carrier Selection ◽  
Text Steganography

Behavioral steganography is a method used to achieve covert communication based on the sender’s behaviors. It has attracted a great deal of attention due to its robustness and wide application scenarios. Current behavioral steganographic methods are still difficult to apply in practice because of their limited embedding capacity. To this end, this paper proposes a novel high-capacity behavioral steganographic method combining timestamp modulation and carrier selection based on social networks. It is a steganographic method where the embedding process and the extraction process are symmetric. When sending a secret message, the method first maps the secret message to a set of high-frequency keywords and divides them into keyword subsets. Then, the posts containing the keyword subsets are retrieved on social networks. Next, the positions of the keywords in the posts are modulated as the timestamps. Finally, the stego behaviors applied to the retrieved posts are generated. This method does not modify the content of the carrier, which ensures the naturalness of the posts. Compared with typical behavioral steganographic methods, the embedding capacity of the proposed method is 29.23∼51.47 times higher than that of others. Compared to generative text steganography, the embedding capacity is improved by 16.26∼23.94%.

scholarly journals A High Capacity PDF Text Steganography Technique Based on Hashing Using Quadratic Probing

2019 ◽  
Vol 12 (3) ◽  
pp. 192-202 ◽  
Author(s):  
Sanjive Tyagi ◽  
◽  
Rakesh Dwivedi ◽  
Ashendra Saxena ◽  
◽  
...  
Keyword(s):  
High Capacity ◽  
Text Steganography

A high capacity text steganography scheme based on huffman compression and color coding

2017 ◽  
Vol 38 (5) ◽  
pp. 647-664 ◽  
Author(s):  
Aruna Malik ◽  
Geeta Sikka ◽  
Harsh K. Verma
Keyword(s):  
High Capacity ◽  
Color Coding ◽  
Text Steganography

High Capacity Persian/Arabic Text Steganography

2008 ◽  
Vol 8 (22) ◽  
pp. 4173-4179 ◽  
Author(s):  
M. Shirali-Sh ◽  
S. Shirali-Sh
Keyword(s):  
High Capacity ◽  
Arabic Text ◽  
Text Steganography
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