An Enhanced Approach of Image Steganographic Using Discrete Shearlet Transform and Secret Sharing

Abstract

Recently, the internet has made the users able to transmit the digital media in the easiest manner. In spite of this facility of the internet, this may lead to several threats that are concerned with confidentiality of transferred media contents such as media authentication and integrity verification. For these reasons, data hiding methods and cryptography are used to protect the contents of digital media. In this paper, an enhanced method of image steganography combined with visual cryptography has been proposed. A secret logo (binary image) of size (128x128) is encrypted by applying (2 out 2 share) visual cryptography on it to generate two secret share. During the embedding process, a cover red, green, and blue (RGB) image of size (512x512) is divided into three layers (red, green and blue). The blue layer is transformed using Discrete Shearlet Transform (DST) to obtain its coefficients. The first secret share is embedded at the coefficients of transformed blue layer to obtain a stego image. At extraction process, the first secret share is extracted from the coefficients of blue layer of the stego image and XORed with the second secret share to generate the original secret logo. According to the experimental results, the proposed method is achieved better imperceptibility for the stego image with the payload capacity equal to (1 bpp). In addition, the secret logo becomes more secured using (2 out 2 share) visual cryptography and the second secret share as a private key.

WITHDRAWN: Hybrid Architecture for Secure Data Communication Within the Private Cloud

“…Data is encrypted using the Advanced Encryption Standard (AES) cryptography, while the information is concealed using LSB steganography [13]. The resulting paradigm provides customers with a higher sense of security.…”

Image Steganography Based on Chaos Function and Randomize Function

“…The EC value ranges between the original image and stego image, and the highest value (0.049476076) and lowest value (0.000120296) were confirmed excellent, given the characteristics of the photos. Figure (11) explains the curve of the ratios of the entropy and EC of the 10 tested images.…”

“…application of unified security to all image formats, the ability to select the cover images that are most appropriate for the length of the data and network bandwidth. The results of this method are very effective and efficient Yasir Ahmed Hamza, Nada Elya Tewfiq, and Mohammed Qasim Ahmed [11], along with visual coding, suggested improving image masks. Images were captured with a size of 128x128.…”

Designing a Model for Hiding Images in RGB Cover Image Based Scrambling and Encryption Methods

“…Hamza et al [13] proposed a new way to hide an encrypted binary logo image by generating two secret shares. The RGB cover image (512×512) is divided into three red, green, and blue bands during the data embedding process.…”