A novel quantum steganography scheme based on ASCII

2019 ◽  
Vol 17 (04) ◽  
pp. 1950033
Author(s):  
Jia Luo ◽  
Ri-Gui Zhou ◽  
XingAo Liu ◽  
WenWen Hu ◽  
GuangZhong Liu
Keyword(s):  
Text Message ◽  
Gray Code ◽  
Quantum Circuits ◽  
Cover Image ◽  
Quantum Steganography ◽  
Transform Method ◽  
Standard Code ◽  
Lower Complexity ◽  
Judgment Condition ◽  
Information Interchange

Based on the novel enhanced quantum representation for quantum image (NEQR), a new blind quantum steganography scheme is proposed. In this scheme, an improved quantum representation of text utilizing American Standard Code for Information Interchange (ASCII) is provided that uses two qubit sequences to store the same quantum text message. The general embedding process of the scheme is as follows: First, the cover image of size [Formula: see text] will be divided into eight blocks of size [Formula: see text] and the secret quantum text of size [Formula: see text] is scrambled by Gray code transform method. Then, the disorder quantum text is embedded into the eight blocks of cover image employing the Gray code as a judgment condition. Meanwhile, the corresponding quantum circuits are drawn. Through the analysis of all quantum circuits, it can be concluded that the scheme has a lower complexity that is [Formula: see text]. And the performance of the proposed scheme is analyzed in terms of simulation results of three items: visual quality, capacity and robustness.

Quantum steganography based on reflected gray code for color images

2020 ◽  
Vol 14 (3) ◽  
pp. 291-312
Author(s):  
Hong Xiao ◽  
Panchi Li
Keyword(s):  
Gray Code ◽  
Image Steganography ◽  
Cover Image ◽  
Embedding Capacity ◽  
Quantum Steganography ◽  
Stego Image ◽  
Quantum Image ◽  
Image Pixels ◽  
Quantum Image Steganography ◽  
Digital Steganography

Digital steganography is the art and science of hiding information in covert channels, so as to conceal the information and prevent the detection of hidden messages. On the classic computer, the principle and method of digital steganography has been widely and deeply studied, and has been initially extended to the field of quantum computing. Quantum image steganography is a relatively active branch of quantum image processing, and the main strategy currently used is to modify the LSB of the cover image pixels. For the existing LSB-based quantum image steganography schemes, the embedding capacity is no more than 3 bits per pixel. Therefore, it is meaningful to study how to improve the embedding capacity of quantum image steganography. This work presents a novel steganography using reflected Gray code for color quantum images, and the embedding capacity of this scheme is up to 6 bits per pixel. In proposed scheme, the secret qubit sequence is considered as a sequence of 6-bit segments. For 6 bits in each segment, the first 3 bits are embedded into the second LSB of RGB channels of the cover image, and the remaining 3 bits are embedded into the LSB of RGB channels of the cover image using reflected-Gray code to determine the embedded bit from secret information. Following the transforming rule, the LSBs of stego-image are not always same as the secret bits and the differences are up to almost 50%. Experimental results confirm that the proposed scheme shows good performance and outperforms the previous ones currently found in the literature in terms of embedding capacity.

A novel quantum steganography scheme for color images

2018 ◽  
Vol 16 (02) ◽  
pp. 1850020 ◽  
Author(s):  
Panchi Li ◽  
Xiande Liu
Keyword(s):  
Gray Code ◽  
Color Images ◽  
Quantum Circuits ◽  
Embedding Capacity ◽  
Quantum Steganography ◽  
Quantum Image ◽  
Simulation Results ◽  
Color Pixel ◽  
Classical Computer ◽  
Rules Extraction

In quantum image steganography, embedding capacity and security are two important issues. This paper presents a novel quantum steganography scheme using color images as cover images. First, the secret information is divided into 3-bit segments, and then each 3-bit segment is embedded into the LSB of one color pixel in the cover image according to its own value and using Gray code mapping rules. Extraction is the inverse of embedding. We designed the quantum circuits that implement the embedding and extracting process. The simulation results on a classical computer show that the proposed scheme outperforms several other existing schemes in terms of embedding capacity and security.

Iranian Standard Code for Information Interchange (ISCII)

1987 ◽  
Vol 6 (4) ◽  
pp. 427-432
Author(s):  
Mohammad Sanati ◽  
Mohammad Dadashzadeh ◽  
Mohammad B Dadfar
Keyword(s):  
Standard Code ◽  
Information Interchange

scholarly journals Modified Lsb For Hiding Encrypted Kurdish Text Into Digital Image

2019 ◽  
Vol 7 (4) ◽  
pp. 254
Author(s):  
Nada E. Tawfiq
Keyword(s):  
Digital Image ◽  
Text Message ◽  
Cover Image ◽  
Second Phase ◽  
Original Image ◽  
Text File ◽  
Least Significant Bit ◽  
Text Information ◽  
Embedded Technique ◽  
Lsb Substitution

Image files can hide text without their size being affected too much. This process called steganography which allows hiding text in images without any suspicions from intruders. This paper addresses an improved LSB substitution algorithm for hiding Kurdish text information written in text file into digital image as steganography technique. The algorithm consists of two main phases, the first phase holds the encryption of the Kurdish text message and the embedded technique while the second phase hold the message extraction followed by decryption to get the original code of each character. The algorithm contains many procedures to enhance this process. Least Significant Bit method is used to hide the Kurdish text, in order to keep the features and characteristics of the original image. Applying the proposed approach shows that it seems work in a best case by hiding and retrieving text from the digital image which is used as a carrier of this text. Delphi 2010 was used to simulate both encrypt-embedded phase and extract-decrypt phase, and the results were obtained with high and security which proved the efficiency of the algorithm, where the hidden Kurdish text didn’t make any distortion or change over the cover image.

scholarly journals Image Steganography Using Pixel Value Differencing (PVD) Technique Based on Firefly Algorithm

2021 ◽  
pp. 80-86
Author(s):  
Oluwaseun M. Alade ◽  
Elizabeth A. Amusan ◽  
Oluyinka T. Adedeji ◽  
Oluwaseun O. Alo
Keyword(s):  
Firefly Algorithm ◽  
Promising Result ◽  
Signal To Noise Ratio ◽  
Text Message ◽  
Image Steganography ◽  
Cover Image ◽  
Experimental Result ◽  
Stego Image ◽  
Pixel Value ◽  
Pixel Value Differencing

Steganography deals with the ways of hiding communicated data in such a way that it remains confidential. Finding best position inside cover image to embed text message, maintaining a reasonable trade-off between security, robustness, higher bit embedding rate and imperceptibility are some of the challenges of steganography system. Hence, this paper presents firefly algorithm for finding best positions inside cover image in order to embed text message into cover image using Pixel Value Differencing (PVD) technique. Four different cover image was used. Experimental result showed the cover image with selected location using firefly algorithm as well as the stego image using PVD technique. The stego image was evaluated using Peak Signal to Noise Ratio (PSNR) and Mean square Error (MSE).  Firefly Algorithm with PVD technique produced a promising result for image steganography.

Secure Text Extraction From Complex Degraded Images by Applying Steganography and Deep Learning

2021 ◽  
pp. 146-163
Author(s):  
Binay Kumar Pandey ◽  
Deepak Mane ◽  
Vinay Kumar Kumar Nassa ◽  
Digvijay Pandey ◽  
Shawni Dutta ◽  
...  
Keyword(s):  
Text Message ◽  
Cover Image ◽  
Retrieval Algorithm ◽  
Receiver Side ◽  
Secret Key ◽  
Least Significant Bit ◽  
Public Network ◽  
Transmission Of Information ◽  
Two Stages ◽  
Degraded Images

This work's primary goal is to secure the transmission of text hidden within the cover image using steganography over a public network of computers. Steganography is a powerful tool for concealing information within a cover image so that the concealed message remains undetectable. As a result, steganography refers to concealed writing. The secure transmission of information over a public network communication channel using steganography occurs in two stages, the first on the sender side and the second on the receiver side. In the first phase, steganography is normally applied to conceal the encrypted information within the image as a cover. The encrypted data is implanted inside the cover image using an improved least significant bit steganography method. The secret key obtained by the embedding algorithm is shared with the message retrieval algorithm on the receiver side to retrieve the message. Finally, the embedded text message is identified using a hybrid convolution regression adaptive integrated neural network (CRAINN) approach.

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