A Semantic Approach to Text Steganography in Sanskrit Using Numerical Encoding

Vaishakh, K.; Pravalika, A.; Abhishek, D. V.; Meghana, N. P.; Prasad, G. Durga

doi:10.1007/978-981-10-8639-7_19

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

Section: Invisibilitymentioning

confidence: 99%

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

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Security comparison: To measure the security, data must be protected from the unauthorized access if it is transmitted or stored (Vaishakh et al, 2019). An eavesdropper is not able for the detection of hidden text and can be called a security breach (Gutub & Ghamdi, 2019).…”

Section: Figure 6 Capacity Comparisons Of Wm Approachesmentioning

confidence: 99%

Arabic text watermarking tuned for medical e-record semi-authentication

Gutub

Almehmadi²

2022

JER is an international, peer-reviewed journal that publishes f

View full text Add to dashboard Cite

This study focuses on Arabic text watermarking semi-verification utilizing recent counting-based secret-sharing to partially validate the ownership and correctness for all sensitive medical e-records. The benefit of this approach is its semi-trust of e-records, as needed services provided, even if complete text medical report is a bit delayed for full verification. The Proposed work is presents two approaches of text-watermarking which are Seed Shares approach and WM Shares approach. The capacity results of our approaches is achieved without effect of secret bits hidden. The security is achieved via using XOR operation and CBSS technique. The comparisons result shows that the Accuracy percentage of the seed shares approach is much better than the WM in terms of tampering attack. The exploration tested its proposed strategy on standard Arabic benchmark of 42 Nawawi Hadiths which provided promising remarks, which can also be useful for Urdu and Farsi texting.

show abstract

“…Steganography is the art and science of secret communication to conceals sensitive information from an intermediary [4,27]. In addition, in the steganography, the secret message is embedded inside of several cover media, such as text [16,19,31,41], image [21,25,32,51], video [2,12,28] and audio [30,48] files. There are two main criteria by which the performance of steganographic algorithms can be measured, embedding capacity and detectability.…”

Section: Introductionmentioning

confidence: 99%

A steganographic approach based on the chaotic fractional map and in the DCT domain

Soria-Lorente,

Pérez-Michel,

Avila-Domenech

2019

Preprint

View full text Add to dashboard Cite

A steganographic method based on the chaotic fractional map and in the DCT domain is proposed. This method embeds a secret message in some high frequency coefficients of the image using a 128-bit private key and a chaotic fractional map which generate a permutation indicating the positions where the secret bits will be embedded. An experimental work on the validation of the proposed method is also presented, showing performance in imperceptibility, quality, similarity and security analysis of the steganographic system. The proposed algorithm improved the level of imperceptibility and Cachin's security of stego-system analyzed through the values of Peak Signal-to-Noise Ratio (PSNR) and the Relative Entropy (RE).

show abstract

A Semantic Approach to Text Steganography in Sanskrit Using Numerical Encoding

Cited by 4 publications

References 8 publications

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

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

Arabic text watermarking tuned for medical e-record semi-authentication

A steganographic approach based on the chaotic fractional map and in the DCT domain

Contact Info

Product

Resources

About