Steganography on Color Images Using Least Significant Bit (LSB) Method (original) (raw)
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Implementation of LSB Steganography on Embedding Messages in Digital Image
International Journal of Scientific Research in Science and Technology, 2018
The development of information technology today, makes it easier for perpetrators of computer crime, by abusing technology to support its activities, where their activities significantly disrupt someone's privacy. In this paper the insertion of text messages with the least significant bit method. Therefore the administrator needs a system or application that is safe so that it can make it difficult for computer criminals to carry out their activities, and help technology users regarding securing the accessed data bit, which is expected to increase the security of a secret text message. To increase the security of the data to be stored, the data stored is embedded in other media. Least Significant Bit is one method that can be used to hide confidential data on images or media. With this method, the confidentiality of information will be more secure.
The article deals with the steganography system which hides text inside images without losing data. The secret message is hidden in the cover image using Last Significant Bit (LSB) algorithm. To evaluate steganography system properties the measures like Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PRSN), Mean Squared Error (MSE) and Structural Similarity Index for measuring (SSIM) are used. Experimental results show the advantages of the described steganography system.
Design and Implementation of a Steganographic System using the Least Significant Bit Algorithm
African Journal of Computing & ICT, 2019
Secure data transmission over communication channels has been a critical issue since the beginning of the digital era. Due to advances in ICT, most of information is kept electronically. Consequently, the security of information has become a fundamental issue. Besides cryptography, steganography can be employed to secure information. Steganography is similar but adds another dimension to Cryptography. In cryptography, an intruder is normally aware that data is being communicated, because they can see the coded/scrambled message while in steganography, an unintended recipient or an intruder is unaware of the fact that observed data contains hidden information. In this method, people not only want to protect the secrecy of an information by concealing it, but they also want to make sure any unauthorized person gets no evidence that the information even exists. An example is invisible watermarking; although, this technique is not new, its application has been exploited in various information security technologies. This paper shows the design and implementation of a software system that uses the new image steganographic approach. This approach makes use of Least Significant Bit (LSB) algorithm and is implemented through the Microsoft.NET framework. This software is applied in embedding data into a bit map image (.bmp).
The Least Significant Bit (LSB) algorithm and the Most Significant Bit (MSB) algorithm are steganography algorithms with each one having its demerits. This work therefore proposed a Hybrid approach and compared its efficiency with LSB and MSB algorithms. The Least Significant Bit (LSB) and Most Significant Bit (MSB) techniques were combined in the proposed algorithm. Two bits (the least significant bit and the most significant bit) of the cover images were replaced with a secret message. Comparisons were made based on Mean-Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and the encoding time between the proposed algorithm, LSB and MSB after embedding in digital images. The combined technique produced a stego-image with minimal distortion in image quality than MSB technique independent of the nature of data that was hidden. However, LSB algorithm produced the best stego-image quality. Large cover images however made the combined algorithm’s quality better improved. The combined algorithm had lesser time of image and text encoding. Therefore, a trade-off exists between the encoding time and the quality of stego-image as demonstrated in this work.
2020
The method of steganography commonly used to hide data or information is Least Significant Bit (LSB) method. One of the relevant research is LSB using sequential Encoding Decoding by David Pipkorn and Preston Weisbrot. In this research, an analysis of the LSB method using Sequential Encoding Decoding by doing some testing. The tests are on the aspect of message security using tools StegSpy and enhanced LSB algorithm, testing on image quality by calculating the Peak Signal to Noise Ratio (PSNR) value and see the image histogram, testing on robustness of message by doing some image processing operations on stego image, like cropping, rotating, and etc, and then testing on capacity to check size of cover image and stego image and calculates the maximum size of data that can be hidden. From the testing process, we know that there are deficiencies in the aspects of security, robustness and capacity of a message. And then in this research we try to change the location of messages that are...
On the Information Hiding Technique Using Least Significant Bits Steganography
Steganography is the art and science of hiding data or the practice of concealing a message, image, or file within another message, image, or file. Steganography is often combined with cryptography so that even if the message is discovered it cannot be read. It is mainly used to maintain private data and/or secure confidential data from misused through unauthorized person. In contemporary terms, Steganography has evolved into a digital strategy of hiding a file in some form of multimedia, such as an image, an audio file or even a video file. This paper presents a simple Steganography method for encoding extra information in an image by making small modifications to its pixels. The proposed method focuses on one particular popular technique, Least Significant Bit (LSB) Embedding. The paper uses the (LSB) to embed a message into an image with 24-bit (i.e. 3 bytes) color pixels. The paper uses the (LSB) of every pixel’s bytes. The paper show that using three bits from every pixel is robust and the amount of change in the image will be minimal and indiscernible to the human eye. For more protection to the message bits a Stego-Key has been used to permute the message bits before embedding it. A software tool that employ steganography to hide data inside of other files (encoding) as well as software to detect such hidden files (decoding) has been developed and presented. https://sites.google.com/site/ijcsis/
Evaluation of LSB Based Image Steganography Technique for various File Formats
2015
Steganography is derived from the Greek word steganos which literally means “Covered” and graphy means “Writing”, i.e. covered writing. Steganography is the art and science of hiding messages in such a way that no one apart from sender and receiver identify the message. The paper describes the steganalysis technique for the detection of secret message in the image. The strong and weak point of this technique is mentioned briefly. Steganography function is used to hide a secret message in any media such as text, image, audio and video. There are many algorithms used for hiding the information. One of the simplest and best known techniques is Least Significant Bit (LSB). This paper focuses on image Steganography and hiding the message in the Least Significant Bit (LSB) method. We also discuss the LSB method used for various file formats. KeywordsCryptography, Steganography, Steganalysis, LSB (Least Significant Bit), GIF, PNG, BMP.
An Overview of Image Steganography using LSB Technique
International Journal
Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of steganographic techniques some are more complex than others and all of them have respective strong and weak points. This paper intends to give an overview of image steganography, its uses and techniques. For a more secure approach, this paper encrypts the message using secret key and then sends it to the receiver. The receiver then decrypts the message to get the original one. The rapid development of data transfer through internet made it easier to send the data accurate and faster to the destination. This paper deals with the algorithm based on hiding a large amount of data (image, audio, text) file into color BMP image. This project gives a brief idea about the image steganographic approach that make use of Least Significant Bit(LSB) algorithm for embedding the data into the bitmap image(.bmp) which is implemented through the JDK 1.5.0_07 environment. The Least Significant Bit (LSB) embedding technique suggests that data can be hidden in the least significant bits of the cover image and the human eye would be unable to notice the hidden image in the cover file.
A Development of Least Significant Bit Steganography Technique
Iraqi Journal of Computers, Communication and Control & System Engineering (IJCCCE), 2020
Recently, the world has been interested in transferring data between different devices. The transmission of data must be encrypted so that the intended receiver can only read and process a secret message. Hence, the security of information has become more important than earlier. This paper proposes the least significant bit Steganography method to hide a secret message inside an image cover via using dynamic stego-key. To check the effectiveness of the proposed method, many factors are used for evaluation and compared with another method. The results illustrate more robustness at steganography since stego-key depends on the cover image to hide a secret message.
2019
Information hiding is one of the considerable objects in secret communication. Steganography is a vital research area in recent years relating several applications. Image steganography is the mode of embedding information (e.g. text) in an image, such an impossible to be seen by human eyes or so-called visual system (HVS). This study presents a steganography scheme based on a dynamic non-sequential Least Significant Bit (LSB) procedure for concealing text information into two kinds of images; include RGB images and Grayscale images, where the efficiency of using each of these kinds is studied. the spatial domain is used to perform the LSB procedure, where the bits of the secret message are inserted into the host or cover image using LSB process to outcome a stego-image. The results show that the secret message can be hidden securely and undetectable against HVS, and using RGB image shows better performance. Comparing with some other methods, the proposed scheme is superior in terms ...