A Secure Image Steganography using LSB, DCT and Compression Techniques on Raw Images (original) (raw)
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Steganography is used to carry information from source to destination using public channel in such a way that only sender and intended receiver know that there is hidden message. This paper represents image steganography method that is based on LSB and DCT coefficients that provide randomized bits embedding inside the cover image. Firstly the Discrete Cosine Transform (DCT) apply on the cover image and then hiding the secret information in LSB of the cover image in random locations based on threshold value. Using DCT Coefficients value, Find the randomized pixel locations for hiding secret information and increase the security of system.
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Cryptography and Steganography are two prominent techniques to obtain secure communication over the shared media like the Internet. Steganogra-phy is slightly ahead of cryptography because of its stealthy characteristics. In this paper, a new method has been proposed which combines cryptography and steganography to ensure even more secure communication. The Advanced Encryption Standard (AES) in spatial domain of the carrier/cover image and Least Significant Bit (LSB) replacement in the transformed domain of the same image has been used after performing a Discrete Cosine Transform (DCT) on the pixels. An additional layer of security has been introduced by applying XOR operation on the AES encrypted message with the pixel values of the carrier image. The Peak Signal to Noise Ratio (PSNR) of the proposed algorithm is better than most of the similar algorithms. With better PSNR, the proposed method depicts a three layer of security of the information and error free decryption.
Now a days, internet becomes major channel for communicating information one place to other such as text, image, audio, video data. One of the most important factors of information technology and communication has been the security of the information. For security purpose the concept of Steganography is being used. Image Steganography is a technique in which information can embeded secretly by hiding through an image. For these purpose we used Data compression, it's is a basic need for transmission of data through the internet. There are two methods transmitting the data. they are lossy and lossless compression methods. This paper presents an existing approach of image steganography using Least Significant Bit (LSB) algorithm and Discrete Cosine transform (DCT) algorithm is to be used to Compressed the images. LSB method mainly focused on adaptiveness of LSB's replacement and pixel adjustment for improving the capacity of hiding data. And the jpeg standard compresion DCT algorithum based on lossy technique for image compression.
Hiding data in images using steganography techniques with compression algorithms
TELKOMNIKA Telecommunication Computing Electronics and Control, 2019
Steganography is the science and art of secret communication between two sides that attempt to hide the content of the message. It is the science of embedding information into the cover image without causing a loss in the cover image after embedding.Steganography is the art and technology of writing hidden messages in such a manner that no person, apart from the sender and supposed recipient, suspects the lifestyles of the message. It is gaining huge attention these days as it does now not attract attention to its information's existence. In this paper, a comparison of two different techniques is given. The first technique used Least Significant Bit (LSB) with no encryption and no compression. In the second technique, the secret message is encrypted first then LSB technique is applied. Moreover, Discrete Cosine Transform (DCT) is used to transform the image into the frequency domain. The LSB algorithm is implemented in spatial domain in which the payload bits are inserted into the least significant bits of cover image to develop the stego-image while DCT algorithm is implemented in frequency domain in which the stego-image is transformed from spatial domain to the frequency domain and the payload bits are inserted into the frequency components of the cover image.The performance of these two techniques is evaluated on the basis of the parameters MSE and PSNR.
Concealing Encrypted Messages using DCT in JPEG Images
Steganography is an important area of research in recent years involving a number of applications. It is the science of embedding information into the cover image viz., text, video, and image (payload) without causing statistically significant modification to the cover image. The modern secure image steganography presents a challenging task of transferring the embedded information to the destination without being detected. In this paper we present an image based steganography that combines Discrete Cosine Transform (DCT), and compression techniques with LSB techniques on raw images to enhance the security of the payload. Initially the coverimage is transformed from spatial domain to the frequency domain using DCT. The image is then quantized. and LSB technique is used to insert in pixels specified according to a range.
Encryption based LSB Steganography Technique for Digital Images and Text Data
Digital steganography is the art and science of hiding communications; a steganographic system thus embeds secret data in public cover media so as not to arouse an eavesdropper's suspicion. A steganographic system has two main aspects: steganographic capacity and imperceptibility. However, these two characteristics are at odds with each other. Furthermore, it is quite difficult to increase the steganographic capacity and simultaneously maintain the imperceptibility of a steganographic system. Additionally, there are still very limited methods of Steganography to be used with communication protocols, which represent unconventional but promising Steganography mediums. Digital image Steganography, as a method of secret communication, aims to convey a large amount of secret data, relatively to the size of cover image, between communicating parties. Additionally, it aims to avoid the suspicion of noncommunicating parties to this kind of communication. Thus, this research addresses and proposes some methods to improve these fundamental aspects of digital image Steganography. Hence, some characteristics and properties of digital images have been employed to increase the steganographic capacity and enhance the stego image quality (imperceptibility). Here, the research aim is identified based on the established definition of the research problem and motivations. Unlike encryption, Steganography hides the very existence of secret information rather than hiding its meaning only. Image based Steganography is the most common system used since digital images are widely used over the Internet and Web. However, the capacity is mostly limited and restricted by the size of cover images. In addition, there is a tradeoff between both steganographic capacity and stego image quality. Therefore, increasing steganographic capacity and enhancing stego image quality are still challenges, and this is exactly our research main aim. To get a high steganographic capacity, novel Steganography methods were proposed. The first method was based on using 8x8 nonoverlapping blocks and quantization table for DCT with compression. Second method incorporates the DWT technique, with quality of any stego images as enhanced to get correct hidden image. And last LSB as to store images with Key type security built in.
A steganographic method based on DCT and new quantization technique
2012 22nd International Conference on Computer Theory and Applications (ICCTA), 2012
In this paper, an efficient data hiding technique based on the discrete cosine transform (DCT) of image is proposed. In this technique, the DCT coefficient is quantized using a predefined mathematical operation then the secret bits are embedded in all frequency component of the quantized DCT coefficient using least significant-bit (LSB) to enable a large message capacity. A comparison between the proposed method and other existing methods is introduced. The results demonstrated that the performance of the proposed method is satisfied compared to them.
Image Steganography Using Least Significant Bits (LSBs): A Novel Algorithm
Steganography plays a major role in data communication security. It focuses on hiding the fact that communication is taking place by hiding information in other information. The least significant bit (LSB) based approach is a popular type of steganographic algorithms in the spatial domain. The advantage of LSB is its simplicity to embed the bits of the message directly into the LSB plane of cover-image and many applications use this method. Images are the most popular cover objects used for Steganography. In this paper, we introduce a novel secure algorithm for color image steganography using least significant bits (LSBs). The security of our algorithm comes from using a key (the stego key) which is an array of 32 integers chosen randomly from Z24. The first pixel position, where we start hiding process, is computed based on this stego key. https://sites.google.com/site/ijcsis/
CEET: A Compressed Encrypted & Embedded Technique for Digital Image Steganography
IOSR Journal of Computer Engineering, 2014
In this information era, digital information sharing and transfer plays a vital role and their use has increased exponentially with the development of technology. Thus providing security of data is a topic of concern. Data hiding is a powerful tool that provides mechanism for securing data over insecure channel by concealing information within information. Steganography inherits data hiding concept and passes information through host files in such a way that the existence of the embedded secret is unknown. This paper presents a joint application of compression, encryption and embedding techniques for implementing digital image steganography. Compression technique generates noise in the image. Inorder to retain the noise distortion to a minimum level, LSB insertion method is used for embedding purpose where the bits are inserted at the last 2 LSB's of the image. In this proposed technique the secret information is initially compressed and then the resultant bits are encrypted. Finally these encrypted bits are embedded into an image. The main objective is to develop an application that increases the steganographic capacity and enhances the stego image quality while keeping the security intact.