A Comparative Analysis of Arabic Text Steganography

Author:

Thabit ReemaORCID,Udzir Nur IzuraORCID,Yasin Sharifah MdORCID,Asmawi AziahORCID,Roslan Nuur Alifah,Din Roshidi

Abstract

Protecting sensitive information transmitted via public channels is a significant issue faced by governments, militaries, organizations, and individuals. Steganography protects the secret information by concealing it in a transferred object such as video, audio, image, text, network, or DNA. As text uses low bandwidth, it is commonly used by Internet users in their daily activities, resulting a vast amount of text messages sent daily as social media posts and documents. Accordingly, text is the ideal object to be used in steganography, since hiding a secret message in a text makes it difficult for the attacker to detect the hidden message among the massive text content on the Internet. Language’s characteristics are utilized in text steganography. Despite the richness of the Arabic language in linguistic characteristics, only a few studies have been conducted in Arabic text steganography. To draw further attention to Arabic text steganography prospects, this paper reviews the classifications of these methods from its inception. For analysis, this paper presents a comprehensive study based on the key evaluation criteria (i.e., capacity, invisibility, robustness, and security). It opens new areas for further research based on the trends in this field.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Robust Content Authentication and Tampering Detection of Arabic Text Transmitted Through Internet;2023 6th International Conference on Engineering Technology and its Applications (IICETA);2023-07-15

2. A Comprehensive Review on Deep Learning-Based Generative Linguistic Steganography;Lecture Notes in Networks and Systems;2023

3. Systematic literature review and analysis for Arabic text steganography method practically;Egyptian Informatics Journal;2022-12

4. Text Steganography in Images Using Turbo Code-Walsh Code Transforms;2022 2nd International Conference on Advances in Engineering Science and Technology (AEST);2022-10-24

5. LZW-CIE: a high-capacity linguistic steganography based on LZW char index encoding;Neural Computing and Applications;2022-07-01

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