High-Capacity Image Steganography with Minimum Modified Bits Based on Data Mapping and LSB Substitution

Zakaria, Abdul Alif; Hussain, Mehdi; Wahab, Ainuddin Wahid Abdul; Idris, Mohd Yamani Idna; Abdullah, Norli Anida; Jung, Ki-Hyun

doi:10.3390/app8112199

Cited by 46 publications

(26 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, an image steganography approach used a data mapping technique to minimize the number of bits changed per pixel. Four hidden data bits were mapped to the four most important bits of a cover pixel [29].…”

Section: Image Steganographymentioning

confidence: 99%

A Comparative Analysis of Arabic Text Steganography

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

Section: Image Steganographymentioning

confidence: 99%

A Comparative Analysis of Arabic Text Steganography

et al. 2021

View full text Add to dashboard Cite

show abstract

“…In spatial domain, the most known steganography technique is least significant bit (LSB) in which some bits of pixels are replaced with bits of a message. It may utilize various numbers of bits and mapping strategies, for example in [4,5] four least significant bits are substituted. Algorithm described in [6] uses plane bit substitution method in which message bits are embedded into the pixel value(s) of an image.…”

Section: State-of-the-art In Steganographymentioning

confidence: 99%

Eigenfaces-Based Steganography

Hachaj

Koptyra

Ogiela

2021

Entropy

View full text Add to dashboard Cite

In this paper we propose a novel transform domain steganography technique—hiding a message in components of linear combination of high order eigenfaces vectors. By high order we mean eigenvectors responsible for dimensions with low amount of overall image variance, which are usually related to high-frequency parameters of image (details). The study found that when the method was trained on large enough data sets, image quality was nearly unaffected by modification of some linear combination coefficients used as PCA-based features. The proposed method is only limited to facial images, but in the era of overwhelming influence of social media, hundreds of thousands of selfies uploaded every day to social networks do not arouse any suspicion as a potential steganography communication channel. From our best knowledge there is no description of any popular steganography method that utilizes eigenfaces image domain. Due to this fact we have performed extensive evaluation of our method using at least 200 000 facial images for training and robustness evaluation of proposed approach. The obtained results are very promising. What is more, our numerical comparison with other state-of-the-art algorithms proved that eigenfaces-based steganography is among most robust methods against compression attack. The proposed research can be reproduced because we use publicly accessible data set and our implementation can be downloaded.

show abstract

“…This approach allows replacing not only the two lower bits, but any number of bits. Although replacing more bits allows for more information to be hidden, however the greater the distortion will result in the original image [9].…”

Section: Related Workmentioning

confidence: 99%

Crypto-Steganographic LSB-based System for AES-Encrypted Data

Abu-Alhaija¹

2019

IJACSA

View full text Add to dashboard Cite

The purpose of this work is to increase the level of concealment of information from unauthorized access by preencrypting and hiding it in multimedia files such as images. A crypto-steganographic information protection algorithm with LSB-method was implemented. The algorithm hides AES preencrypted confidential information in the form of text or images into target containing image files. This method uses the concept of data concealing in the least significant pixel bits of the target image files. The proposed method relies on the use of Diffie-Hellman public key exchange protocol for securely exchanging the stego-key used for LSB as well as the public key used for encrypting the secret information. The algorithm ensures that the visual quality of the image remains unchanged, with no distortions perceived by the human eye. The algorithm also complicates the detection of concealed information embedded in the target image with use of PRNG as an enhancement for LSB. The proposed system scheme achieved competitive results. On an average, the system achieved a Peak Signal-to-Noise Ratio (PSNR) of 96.3 dB and a Mean Square Error (MSE) of 0.00408. The results obtained demonstrate that the proposed system offers high payload capabilities with immunity against visual degradation of resultant stego images.

show abstract

High-Capacity Image Steganography with Minimum Modified Bits Based on Data Mapping and LSB Substitution

Cited by 46 publications

References 23 publications

A Comparative Analysis of Arabic Text Steganography

A Comparative Analysis of Arabic Text Steganography

Eigenfaces-Based Steganography

Crypto-Steganographic LSB-based System for AES-Encrypted Data

Contact Info

Product

Resources

About