Quantum red–green–blue image steganography

One of the most considering matters in the field of quantum information processing is quantum data hiding including quantum steganography and quantum watermarking. This field is an efficient tool for protecting any kind of digital data. In this paper, three quantum color images steganography algorithms are investigated based on Least Significant Bit (LSB). The first algorithm employs only one of the image’s channels to cover secret data. The second procedure is based on LSB XORing technique, and the last algorithm utilizes two channels to cover the color image for hiding secret quantum data. The performances of the proposed schemes are analyzed by using software simulations in MATLAB environment. The analysis of PSNR, BER and Histogram graphs indicate that the presented schemes exhibit acceptable performances and also theoretical analysis demonstrates that the networks complexity of the approaches scales squarely.

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A secure image steganography based on burrows wheeler transform and dynamic bit embedding

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v9i1.pp460-467 ◽

2019 ◽

Vol 9 (1) ◽

pp. 460

Author(s):

Ahmed Toman Thahab

Keyword(s):

Communication Networks ◽

Color Image ◽

Image Steganography ◽

Digital Data ◽

Embedding Capacity ◽

Image Size ◽

Secret Data ◽

Exclusive Or ◽

Burrows Wheeler Transform ◽

Color Image Steganography

In modern public communication networks, digital data is massively transmitted through the internet with a high risk of data piracy. Steganography is a technique used to transmit data without arousing suspicion of secret data existence. In this paper, a color image steganography technique is proposed in spatial domain. The cover image is segmented into non-overlapping blocks which are scattered among image size window using Burrows Wheeler transform before embedding. Secret data is embedded in each block according to its sequence in the Burrows Wheeler transform output. The hiding method is an operation of an exclusive-or between a virtual bit which is generated from the most significant bit and the least significant bits of the cover pixel. Results of the algorithm are analyzed according to its degradation of the output image and embedding capacity. The results are also compared with other existing methods.

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Crypto-Steganographic Method to Protect Secret Messages

International Journal of Computer Science and Mobile Computing ◽

10.47760/ijcsmc.2021.v10i12.007 ◽

2021 ◽

Vol 10 (12) ◽

pp. 46-61

Author(s):

Mohamad Tariq Barakat ◽

Rushdi Abu Zneit ◽

Ziad A. Alqadi

Keyword(s):

Digital Image ◽

Color Image ◽

Color Images ◽

Secret Message ◽

Security Level ◽

Least Significant Bit ◽

Simple Method ◽

Private Key ◽

Message Length ◽

Digital Color Images

Multiple methods are used to hide secret messages in digital color images, and the most important and most common is the least significant bit (LSB) method. The LSB method is a known and exposed method, and anyone with programming experience can retrieve the secret message embedded in the digital image. In this paper research we will add some enhancements to improve the security level of LSB method to protect the embedded secret message from being hacked. A simple method of secret message cryptography will be used to encrypt the secret message before bedding it using LSB method. The method will be based on using color image as an image_key; this image_key will be resized to generate the needed secret private key used to encrypt-decrypt secret message. The length and the contents of the generated private key will dynamically change depending on the message length and the selected image_key. The selected image_key will be kept in secret without transmission and will be known only by the sender and receiver and it can be changed any time when needed. The proposed crypto_steganographic method will be implemented to show how it will increase the level o secret message protection.

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Testing of Image Steganography with use of LSB and DCT Techniques

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.j9659.0881019 ◽

2019 ◽

Vol 8 (10) ◽

pp. 3694-3697

Keyword(s):

High Speed ◽

Signal To Noise Ratio ◽

Data Communication ◽

Image Steganography ◽

Digital Data ◽

Data Detection ◽

Least Significant Bit ◽

Secret Data ◽

Text Information ◽

Audio Video

In this growing internet world, secret data communication is increasing day by day. There are various methods to communicate secretly. Steganography is one of those techniques in which data is concealed within cover data such that it cannot get detected. Steganography is usually used today on pcs where digital data is the high-speed distribution channels for carriers and networks. Steganography is the skill of understanding of unnoticeable activity at intervals. Steganalysis is the science of concealed data detection. Steganography of data which is of any form like images, audio, video or text information is done by various techniques. Image steganography is done by various technique. Least Significant Bit (LSB) with XORing and Discrete Cosine Transform (DCT) are used to test the image steganography. Images are converted to grey scale to get better accuracy. Results are tested with mean square error (MSE) and peak signal-to-noise ratio (PSNR) values.

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A New Image Steganographic Approach for Secure Communication Based on LSB Replacement Method

Information Technology And Control ◽

10.5755/j01.itc.44.3.8949 ◽

2015 ◽

Vol 44 (3) ◽

pp. 315-328 ◽

Cited By ~ 13

Author(s):

Khalid Darabkh ◽

Iyad F. Jafar ◽

Raed T. Al-Zubi ◽

Mohammed Hawa

Keyword(s):

Digital Media ◽

Secure Communication ◽

Color Image ◽

Signal To Noise Ratio ◽

Geometric Shape ◽

Secret Message ◽

Least Significant Bit ◽

Secret Data ◽

Replacement Method ◽

Lsb Replacement

With the development of internet technologies and communication services, message transmissions over the internet still have to face all kinds of security problems. Hence, how to protect secret messages during transmission becomes a challenging issue for most of current researchers. It is worth mentioning that many applications in computer science and other related fields rely on steganography and watermarking techniques to ensure information safety during communication. Unlike cryptography that focuses on scrambling the secret message so that it cannot be understood, the main objective of steganography and watermarking is to communicate securely in such a way that the hidden data are not visible to the observer. In other words, it seeks for the imperceptibility of stego-images quality to an unintended party through embedding efficiently the secret message in a digital media such as image, video, or audio. In this paper, we propose a new steganographic method to embed the secret data inside a cover image based on least-significant-bit (LSB) replacement method. The embedding process predominantly concentrates on distributing the secret message inside one share of a color image to appear like a 3D geometric shape that is constructed according to well-analyzed geometric equations. The dimensions of the geometric shape are determined pursuant to the size of secret message. Data distribution process makes our method to be of a great interest as of being so difficult for the hackers or intruders to reconstruct the shape from stego-images, thereby the security is improved. Furthermore, we compare the performance of our approach with two other relevant approaches in terms of peak signal-to-noise ratio (PSNR) and payload. The contribution of our approach was immensely impressive.DOI: http://dx.doi.org/10.5755/j01.itc.44.3.8949

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A Survey Paper on Different Steganography Technique

10.29007/kkkg ◽

2018 ◽

Author(s):

Shashi Kant Singh ◽

Seema Yadav ◽

Ankur Raj ◽

Priya Gupta

Keyword(s):

Information Technology ◽

Digital Libraries ◽

World Wide ◽

Color Image ◽

Least Significant Bit ◽

Secret Data ◽

Network Information ◽

Survey Paper ◽

Digital Network ◽

Prime Concern

With the rapid advance in digital network, information technology, digital libraries, and particularly World Wide Web services, many kinds of information could be retrieved any time. So in this digital scenario invisible communication between two parties is the prime concern. Steganography is the technique of hidden communication. It not only hides the message contents, instead it hides the existence of the message. In this paper, a new image steganography method based on spatial domain is proposed secret data hided in image segments using least significant bit (LSB) steganography is proposed. The color image is divided into four equal parts and the secret data is also divided into four equal parts and those divided data is hided in the image segments using least significant bit steganography. In this paper we have critically analyzed various steganographic techniques and also have covered steganography overview its major types, classification, applications.

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