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

2015 ◽  
Vol 44 (3) ◽  
pp. 315-328 ◽  
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

An Improved Method for Combine (LSB and MSB) Based on Color Image RGB

2021 ◽  
Vol 39 (1B) ◽  
pp. 231-242
Author(s):  
Sally A. Mahdi ◽  
Maisa’a A. Khodher
Keyword(s):  
Color Image ◽  
Signal To Noise Ratio ◽  
Cover Image ◽  
Secret Message ◽  
Secret Key ◽  
Improved Method ◽  
Least Significant Bit ◽  
Stego Image ◽  
Novel Method ◽  
Measure Entropy

Image steganography is the art of hiding data into an image by using the secret key. This paper presents two techniques that combine the most significant bit (MSB) as well as the least significant bit (LSB) based on a color image (24bit for RGB). The presented study proposes a novel method to combine (LSB and MSB) bits based on check MSB values and replace bits from LSB with a secret message. The result of this proposed method that made not affect quality stego -image based on the resulting histogram that shows a match between the cover image and stego- image and more secure because not hidden in all image. The factors were used Mean Square Error (MSE), Compute Payload, in addition to Peak Signal to Noise Ratio (PSNR). The PSNR’s rate is high and MSE is less. The result of this paper when applying on the different image gives high PSNR of 87.141 and less MSE of 0.00012 when inserting message 80 bits and reduction value PSNR of 72.023 and MSE of 0.0040 when inserting message 1200 bits and measure entropy is the same value for cover image and stego –image then this method is more security for the attacker.

scholarly journals Chaos-based Color Image Steganography Method Using 3 D Cat Map

2021 ◽  
pp. 3220-3227
Author(s):  
Sarab M. Hameed ◽  
Zuhair Hussein Ali ◽  
Ghadah K. AL-Khafaji ◽  
Safa Ahmed
Keyword(s):  
Color Image ◽  
Signal To Noise Ratio ◽  
Secret Message ◽  
Least Significant Bit ◽  
Stego Image ◽  
Hiding Capacity ◽  
Comparison Results ◽  
Information Hiding Capacity ◽  
High Level ◽  
Color Image Steganography

     Steganography is a technique to hide a secret message within a different multimedia carrier so that the secret message cannot be identified. The goals of steganography techniques include improvements in imperceptibility, information hiding, capacity, security, and robustness. In spite of numerous secure methodologies that have been introduced, there are ongoing attempts to develop these techniques to make them more secure and robust. This paper introduces a color image steganographic method based on a secret map, namely 3-D cat. The proposed method aims to embed data using a secure structure of chaotic steganography, ensuring better security. Rather than using the complete image for data hiding, the selection of the image band and pixel coordination is adopted, using the 3D map that produces irregular outputs for embedding a secret message randomly in the least significant bit (LSB) of the cover image. This increases the complexity encountered by the attackers. The performance of the proposed method was evaluated and the results reveal that the proposed method provides a high level of security through defeating various attacks, such as statistical attacks, with no detectable distortion in the stego-image. Comparison results ensure that the proposed method surpasses other existing steganographic methods regarding the Mean Square Error (MSE) and Peak Signal-to-Noise Ratio(PSNR).

scholarly journals Steganographic Scheme based on Message-Cover matching

2018 ◽  
Vol 8 (5) ◽  
pp. 3594
Author(s):  
Youssef Taouil ◽  
El Bachir Ameur
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Secret Message ◽  
Discrete Wavelet ◽  
Large Set ◽  
Integer Part ◽  
Least Significant Bit ◽  
Secret Data ◽  
Trade Off ◽  
Good Trade

Steganography is one of the techniques that enter into the field of information   security, it is the art of dissimulating data into digital files in an imperceptible way that does not arise the suspicion. In this paper, a steganographic method based on the Faber-Schauder discrete wavelet transform is proposed. The embedding of the secret data is performed in Least Significant Bit (LSB) of the integer part of the wavelet coefficients. The secret message is decomposed into pairs of bits, then each pair is transformed into another pair based on a permutation that allows to obtain the most matches possible between the message and the LSB of the coefficients. To assess the performance of the proposed method, experiments were carried out on a large set of images, and a comparison to prior works is accomplished. Results show a good level of imperceptibility and a good trade-off imperceptibility-capacity compared to literature.

scholarly journals Crypto-Steganographic Method to Protect Secret Messages

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.

scholarly journals A Technique for Secure Communication Using Message Dependent Steganography

2012 ◽  
pp. 122-126
Author(s):  
Gandharba Swain ◽  
Dodda Ravi Kumar ◽  
Anita Pradhan ◽  
Saroj Kumar Lenka
Keyword(s):  
Secure Communication ◽  
Secret Message ◽  
Least Significant Bit ◽  
Secret Information ◽  
Cipher Text ◽  
Carrier Image ◽  
Substitution Cipher

In this paper we present a technique for secure communication between two parties Alice and Bob. We use both cryptography and steganography. We take image as the carrier to use steganography. By using our own substitution cipher called two square reverse we encrypt the secret information. Then the cipher text of the secret information is embedded into the carrier image in LSB (least significant bit) minus one position of some selected bytes. The byte selection is done depending on the bit pattern of the secret information. Thus the embedding locations are dependent on the secret message. So the intruder will face difficulties to locate the bits. After embedding the resultant image will be sent to the receiver, the receiver will apply the reverse operation what the sender has done and get the secret information.

scholarly journals Hiding Data in Color Image Using Least Significant Bits of Blue Sector

2018 ◽  
Vol 31 (2) ◽  
pp. 193 ◽  
Author(s):  
Hussein L. Hussein
Keyword(s):  
Color Image ◽  
Cover Image ◽  
Secret Message ◽  
Mapping Technique ◽  
Least Significant Bit ◽  
Blue Sector ◽  
Powerful Technique ◽  
Secret Communication ◽  
Least Significant Bits

Concealing the existence of secret hidden message inside a cover object is known as steganography, which is a powerful technique. We can provide a secret communication between sender and receiver using Steganography. In this paper, the main goal is for hiding secret message into the pixels using Least Significant Bit (LSB) of blue sector of the cover image. Therefore, the objective is by mapping technique presenting a model for hiding text in an image. In the model for proposing the secret message, convert text to binary also the covering (image) is divided into its three original colors, Red, Green and Blue (RGB) , use the Blue sector convert it to binary,  hide two bits from the message in  two bits of the least significant bits of blue sector of the image.

scholarly journals Color image steganography in YCbCr space

2020 ◽  
Vol 10 (1) ◽  
pp. 202 ◽  
Author(s):  
Zena Ahmed Alwan ◽  
Hamid Mohammed Farhan ◽  
Siraj Qays Mahdi
Keyword(s):  
Color Image ◽  
Signal To Noise Ratio ◽  
Binary Image ◽  
Adaptive Procedure ◽  
Secret Data ◽  
Hide Data ◽  
Main Color ◽  
Different Color ◽  
Exclusive Or ◽  
Module Space

Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as HSV-(hue, saturation, and value), RGB-(red, green, and blue), YCbCr-(luminance and chrominance), YUV, YIQ, etc. This paper uses unusual module to hide data: an adaptive procedure that can increase security ranks when hiding a top secret binary image in a RGB color image, which we implement the steganography in the YCbCr module space. We performed Exclusive-OR (XOR) procedures between the binary image and the RGB color image in the YCBCR module space. The converted byte stored in the 8-bit LSB is not the actual bytes; relatively, it is obtained by translation to another module space and applies the XOR procedure. This technique is practical to different groups of images. Moreover, we see that the adaptive technique ensures good results as the peak signal to noise ratio (PSNR) and stands for mean square error (MSE) are good. When the technique is compared with our previous works and other existing techniques, it is shown to be the best in both error and message capability. This technique is easy to model and simple to use and provides perfect security with unauthorized.

scholarly journals Digital Color Image Watermarking Using Encoded Frequent Mark

2019 ◽  
Vol 25 (3) ◽  
pp. 81-88
Author(s):  
Abdulkareem Mohammed Salih ◽  
Salih Hassan Mahmood
Keyword(s):  
Digital Media ◽  
Communication Channel ◽  
Color Image ◽  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Watermark Image ◽  
Main Principle ◽  
Color Image Watermarking ◽  
Algorithm Efficiency ◽  
Media And Communication

With the increased development in digital media and communication, the need for methods to protection and security became very important factor, where the exchange and transmit date over communication channel led to make effort to protect these data from unauthentication access. This paper present a new method to protect color image from unauthentication access using watermarking. The watermarking algorithm hide the encoded mark image in frequency domain using Discrete Cosine Transform. The main principle of the algorithm is encode frequent mark in cover color image. The watermark image bits are spread by repeat the mark and arrange in encoded method that provide algorithm more robustness and security. The proposed algorithm efficiency is measured by using many of measurement factors such as Peak Signal to Noise Ratio PSNR and Normalized Correlation Coefficient NC, the watermark robustness and feasibility are measured by using many types of attacks.  

scholarly journals Image steganography based on DNA sequence translation properties

2020 ◽  
Vol 4 (6) ◽  
pp. 15-26
Author(s):  
Abdullah Abdullah ◽  
Sardar Ali ◽  
Ramadhan Mstafa ◽  
Vaman Haji
Keyword(s):  
Information Security ◽  
Dna Sequence ◽  
Secure Communication ◽  
Secret Message ◽  
Least Significant Bit ◽  
Sensitive Data ◽  
Translation Process ◽  
Hide Information ◽  
Authorized Access ◽  
Audio Video

Digital communication has become a vital part of daily life nowadays, many applications are using internet-based communication and here the importance of security rose to have a secure communication between two parties to prevent authorized access to sensitive data. These requirements led to a number of research in information security that has been done in the past two decades. Cryptography and steganography are the two main methods that are being used for information security. Cryptography refers to techniques that encrypt a message to be sent to a destination using different methods to be done. On the other hand, steganography is the science of hiding information from others using another cover message or media such as image, audio, video, and DNA sequence. This paper proposed a new method to hide information in an image using the least significant bit (LSB) based on Deoxyribonucleic Acid (DNA) sequence. To accomplish this, the proposed scheme used properties of DNA sequence when codons that consist of three nucleotides are translated to proteins. The LSB of two pixels from the image are taken to represent a codon and then translate them to protein. The secret message bits are injected into codons before the translation process which slightly distorts the image and makes the image less suspicious and hard to detect the hidden message. The experimental results indicate the effeteness of the proposed method.

Video Steganography Based on Shi-Tomasi Corner Detection and Least Significant Bit Algorithm

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Kaviya K ◽  
Mridula Bala ◽  
Swathy N P ◽  
Chittam Jeevana Jyothi ◽  
S.Ewins Pon Pushpa
Keyword(s):  
Mean Squared Error ◽  
Signal To Noise Ratio ◽  
Similarity Index ◽  
Structural Similarity ◽  
Corner Detection ◽  
Least Significant Bit ◽  
Secret Data ◽  
Video Steganography ◽  
Corner Points ◽  
Algorithmic Rule

Today, the digital and social media platforms are extremely trending, leading a demand to transmit knowledge very firmly. The information that is exchanged daily becomes ‘a victim’ to hackers. To beat this downside, one of the effective solutions is Steganography or Cryptography. In this paper, the video Steganography and cryptography thoughts are employed, where a key text is hidden behind a ‘certain frame’ of the video using Shi-Tomasi corner point detection and Least Significant Bit (LSB) algorithmic rule. Shi-Tomasi algorithmic rule is employed to observe, the corner points of the frame. In the proposed work, a ‘certain frame’ with large number of corner points is chosen from the video. Then, the secret text is embedded within the detected corner points using LSB algorithmic rule and transmitted. At the receiver end, decryption process is employed, in the reverser order of encryption to retrieve the secret data. As a technical contribution, the average variation of Mean Squared Error, Peak Signal to Noise Ratio, Structural Similarity Index are analysed for original and embedded frames and found to be 0.002, 0.016 and 0.0018 respectively.

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