Analysis Of Aspects Of Messages Hiding In Text Environments

Afanasyeva, Olesya

doi:10.1515/jok-2015-0019

Cited by 14 publications

(2 citation statements)

References 5 publications

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“…Some researchers have not stated invisibility as the essential criterion of steganography evaluation [56]. On the other hand, most researchers have highlighted invisibility as one of the most critical goals to protect the hidden message [5,7,[80][81][82][83][84][85][86][87][88]. We believe that invisibility is one of the most critical features for preventing the attacker from detecting the hidden message then extracting it.…”

Section: Invisibilitymentioning

confidence: 99%

CSNTSteg: Color Spacing Normalization Text Steganography Model to Improve Capacity and Invisibility of Hidden Data

et al. 2022

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The rapid growth of online communication has increased the demand for secure communication. Most government entities, healthcare providers, the legal sector, financial and banking, and other industries are vulnerable to information security issues. Text steganography is one way to protect secure communication by hiding secret messages in the cover text. Hiding a high amount of secret information without raising the attacker's suspicion is the main challenge in steganography. This paper proposes the Color and Spacing Normalization stego (CSNTSteg) model to resolve the low capacity and invisibility problem on text steganography. CSNTSteg consists of two stages: the pre-embedding stage, which achieves high capacity by utilizing RGB coding and character spacing. It is designed to increase the number of bits per location and usable characters. Besides, it applies the Huffman coding technique to compress the secret message to add more capacity enhancement. The second stage is color and spacing normalization, which accomplishes high invisibility by normalizing the RGB coding and character spacing of the cover and stego text. CSNTSteg overcomes the color differences issue between the cover and stego texts regardless of the color of the cover text. To assess the quality of CSNTSteg, the experimental results are compared with existing works. CSNTSteg shows superior capacity over the existing studies with a percentage of 98.85%. CSNTSteg also achieves high invisibility by reducing the color differences with a percentage of 4.7% and 5.07% for black and colored cover text, respectively. Furthermore, CSNTSteg improves robustness by 94.22% by reducing the distortion in stego text. Overall, the CSNTSteg model embeds a high capacity of secret data while maintaining invisibility and security, offering a new perspective on text steganography to protect against visual and statistical attack issues.

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Section: Invisibilitymentioning

confidence: 99%

CSNTSteg: Color Spacing Normalization Text Steganography Model to Improve Capacity and Invisibility of Hidden Data

et al. 2022

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“…However, most other researchers have emphasized imperceptibility as one of the primary goals to protect the hidden message [17,43,56,[121][122][123][124][125][126] ("protection by invisibility"). We are inclined to take the latter perspective-invisibility is the key properties to prevent the attacker from detecting and hence deducting the hidden message [127][128][129][130].…”

Section: Invisibilitymentioning

confidence: 99%

A Comparative Analysis of Arabic Text Steganography

et al. 2021

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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.

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