Multilingual Image Steganography Using Matrix Substitution Cipher and Combinatorial Modulo Function

In this paper we are proposing a new Image steganography technique for secure communication between sender and receiver. At the sender we follow two steps. In the first step we encrypt the secret information by blowfish algorithm and in second step we embed the cipher text in LSB minus one and LSB (least significant bit) locations of some of the selected pixels (bytes) of the carrier image. One pixel is 8 bits in 8-bit gray scale. The selection of the pixels is done by a dynamic evaluation function. Depending on the cipher text bits, the dynamic evaluation function decides on which pixels the different cipher text bits are to be embedded. At the receiver also two steps are followed, first the cipher bits are retrieved from the image from the said locations and then it is decrypted by using the blowfish algorithm to get the secret information. As the embedding byte locations are decided based on bits of the cipher text, so it is dynamic steganography. This approach provides two levels of security, one at the cryptography level and the other at the steganography level. The proposed technique is experimented through a large number of experiments.

The secure communication of information is a major concern over the internet. The information must be protected before transmitting over a communication channel to avoid security violations. In this paper, a new hybrid method called compressed encrypted data embedding (CEDE) is proposed. In CEDE, the secret information is first compressed with Lempel Ziv Welch (LZW) compression algorithm. Then, the compressed secret information is encrypted using the Advanced Encryption Standard (AES) symmetric block cipher. In the last step, the encrypted information is embedded into an image of size 512 × 512 pixels by using image steganography. In the steganographic technique, the compressed and encrypted secret data bits are divided into pairs of two bits and pixels of the cover image are also arranged in four pairs. The four pairs of secret data are compared with the respective four pairs of each cover pixel which leads to sixteen possibilities of matching in between secret data pairs and pairs of cover pixels. The least significant bits (LSBs) of current and imminent pixels are modified according to the matching case number. The proposed technique provides double-folded security and the results show that stego image carries a high capacity of secret data with adequate peak signal to noise ratio (PSNR) and lower mean square error (MSE) when compared with existing methods in the literature.

This paper introduces a best approach for Least Significant Bit (LSB) based on image steganography that enhances the existing LSB substitution techniques to improve the security level of hidden information. It is a new approach to substitute LSB of RGB true color image. The new security conception hides secret information within the LSB of image where a secret key encrypts the hidden information to protect it from unauthorized users. In general, in LSB methods, hidden information is stored into a specific position of LSB of image. For this reason, knowing the retrieval methods, anyone can extract the hidden information. In our paper, hidden information is stored into different position of LSB of image depending on the secret key. As a result, it is difficult to extract the hidden information knowing the retrieval methods. We have used the Peak Signal-to-Noise Ratio (PSNR) to measure the quality of the stego images. The value of PSNR gives better result because our proposed method changes very small number of bits of the image. The obtained results show that the proposed method results in LSB based image steganography using secret key which provides good security issue and PSNR value than general LSB based image steganography methods.

Steganography is the practice of hiding information and is well known for concealing the existence of the communication. This technique deals with the insertion of the secret message in an appropriate carrier like writing, audio. Out of these carriers, digital writing (text file) message are mostly preferred because of their wide usage on the Internet. The LSB modification technique allows the secret information to be embedded in the least significant bit of the cover message but this technique can be broken very easily. MATLAB software has been used for the execution of steganography. This paper is used Least Significant Bit (LSB) modification technique. Two techniques are being proposed which work on the basis works on the current sample bits. These techniques spread the secret message on different bits of the sample. The methodology has also involved an AES encryption scheme as a backup in case the steganography algorithm has been broken. This will not compromise the confidentiality of the secret information and implemented Point to Point link between two pc.

Adaptive circular queue image steganography with RSA cryptosystem

When files are created, there are always bits that are not really needed and are not at least important. These bits have the capability of being changed with the information which must be hidden in the file, without damage and changes in the file. There are different methods of image steganography, among which Least Significant Bit (LSB) method is the most common one and we intend to use this method for making stego image. A LSB replacement-based newly developed method (the least significant bit) has been presented in 24 bit color images. We propose a newly developed method of information security in RGB color images using a combined method composed of a two-component method based on the replacement and adaptation of LSB for hiding information and providing more security level. We have used Advanced Encryption Standard (AES) for resisting against attacks, a combined filtering and different disorders.

Information security is an important aspect of information. The importance of the value of information in every aspect can result in attempts to transfer access or theft of data and information by unauthorized parties. One technique for securing data and information is by applying the digital image steganography technique. Many methods can be used in steganography, some of which are Least Significant Bit (LSB), Pixel Value Differencing (PVD), and Modulus Function (MF). Good steganography must produce a stego-image with an image quality that is not different from the original image or what is called a cover image and has the storage capacity to store confidential data and is resistant to robustness. The purpose of this study was to compare the LSB, MF, and PVD methods to serve as alternatives to the use of steganography techniques. The results of this study indicate that the LSB method has the best image quality compared to the MF and PVD methods. For storage capacity, the PVD algorithm has a better capacity than the LSB and MF methods. Meanwhile, the robustness of the LSB, PVD, and MF methods has resistance to cropping with a percentage of 10% at the bottom of the stego-image.

Security of information is becoming main criteria while transferring information through communication networks. Nowadays images are used as information source; therefore its security from unauthorized or unintended access is important. Image encryption play an important role in protecting images from hacking and stealing while sending over an unsecured channel. The proposed method is a combination of encryption using Hill cipher algorithm along with Elliptic curve for enhanced security. Elliptic curve cryptographic method is used to make the system to asymmetric from the less secured symmetric key encryption technique; hill cipher algorithm. In our proposed method we use both grayscale images as well as color images regardless its size. Steganography of actual image with a cover image before encryption is an advantage. The cover image is selected as it mocks like an informative to unauthorized access. Least Significant Bit (LSB) steganography method is used here as it provides more security than any other methods.

The sending of encrypted messages attracts the attention of programmers and crackers who would seek to intercept and uncover the messages before arrive their intended destination. Steganography is one way to mask communication by hiding unrevealed message inside another unsuspecting message. Steganography can be combined with cryptography in order to offer a satisfactory measure of privacy and security. In this study, a new approach of the least significant bit steganography has been proposed which improves on the 1 byte least significance technique. A detail description of image steganography procedures based on Least Significant Bit (LSB) to reduce the possibility of a message being recognized is provided. It includes steganalysis - the techniques by which secret information is been extracted.

Addition of hash component in a message is always for verification of authentication of message without integrity. In order to retain integrity certain schemes such as Merkle–Damgard scheme or Rabin scheme based on the block cipher can be used. However, the block cipher schemes in messages do not get applicable on image which are encoding message in a visual format. Therefore, block cipher based schemes are not able to provide tamper localization in case of image authentication. Tamper detection is needed in case of images as it is not visualized without proper verification. Moreover, localization is not possible by hash verification making the authentication processes only detectable but not identifiable. The paper presents a generation process of three least significant bits of hash function. The image insertion is not visualized due to human eye limitation. The method proposed is able to embed a secret image (gray scale) inside a corner image. Experimental results show an improvement in peak signal-to-noise ratio (PSNR) values of the proposed technique over the other techniques available, such as hash-based LSB(2-3-3) image steganography in spatial domain. This paper proposes an image authentication process not only for robustness, security, and tamper detection but also successfully able to identify tamper by a process of tamper localization. The parameters compared include the classical mechanism along with newly introduced entropy measurement of images. A performance analysis is able to show the result claimed in the paper. The paper uses a least significant bit (LSB) based hash function, which is a blind technique as image-related information is never sent to receiver separately. In fact, the proposed approach is a clever design as the generated hash function will be embedded in the image itself. The proposed mechanism is able to offer good imperceptibility between original image and embedded image with hash bits. Even a minute tampering can be detected with proper localization; the localization of tampering is having its wide applicability in case of forensic evidence of malicious image morphing.

In this paper, the problem of secure transmission of sensitive contents over the public network Internet is addressed by proposing a novel data hiding method in encrypted images with dual-level security. The secret information is divided into three blocks using a specific pattern, followed by an encryption mechanism based on the three-level encryption algorithm (TLEA). The input image is scrambled using a secret key, and the encrypted sub-message blocks are then embedded in the scrambled image by cyclic18 least significant bit (LSB) substitution method, utilizing LSBs and intermediate LSB planes. Furthermore, the cover image and its planes are rotated at different angles using a secret key prior to embedding, deceiving the attacker during data extraction. The usage of message blocks division, TLEA, image scrambling, and the cyclic18 LSB method results in an advanced security system, maintaining the visual transparency of resultant images and increasing the security of embedded data. In addition, employing various secret keys for image scrambling, data encryption, and data hiding using the cyclic18 LSB method makes the data recovery comparatively more challenging for attackers. Experimental results not only validate the effectiveness of the proposed framework in terms of visual quality and security compared to other state-of-the-art methods, but also suggest its feasibility for secure transmission of diagnostically important keyframes to healthcare centers and gastroenterologists during wireless capsule endoscopy.

The less obvious that an image has been modified, the less it will be suspected of containing a secret message or image. This paper proposes an image steganographic approach wherein the bit information of the secret message replaces the LSBs (least significant bit) of the RGB (red green blue) bytes of the cover image just like many of the LSB image steganography methods, except that the bits of the secret message undergo a series of evaluated and scored bit rotation and inversion operations prior replacement. Using MSE and PSNR as a measure of image quality, the stego image generated by this proposed approach produced lesser distortion than the existing four bits per byte replacement approach of LSB Replacement and Adaptive LSB Embedding algorithms. The proposed approach however does not offer significant improvement of robustness in terms of security.

Image steganography conceals secret information in a cover image .It is used for secure data transfer. Various LSB (least significant bits) approaches have been used over the years in steganography. This paper proposes a novel technique to improve the conventional LSB technique for image steganography by using pseudo random number generation using Henon chaotic map. The random numbers are used to encrypt the hide image which is embedded in the cover picture. This encryption using pseudo random generator provides sufficient security to the payload as the same set of random numbers cannot be regenerated without knowing the exact random generator function and thus the secret data cannot be retrieved easily. The proposed technique has been tested successfully on various .jpg files and corresponding PSNR values have been calculated.

Information hiding technology is an advanced researching field, which recently spring up in international academic area. This article utilizes chaotic system, which possesses optimum pseudorandom characteristics, sensitivities to initial situations and such unpredictable characteristics and it applies LSB(Least Significant Bit),to produce embedded sequence and embed secret information to certain bit on pixel of a picture. It applies minimum pixel to alter optimum strategy. Experiment results show that crypticity of embedded secret information is fine; room for secret key is ample. This calculation can stand noise and other interference; authorized users can get the secret information easily and quickly, while illegal ones cannot get the right secret information anyway.

Image steganography is a technique of masking secret information (e.g. text, image, audio, video etc.) in a cover image in order to protect the information from being modified or destroyed. Owing to its simplicity and hiding capacity, Least Significant-Bit (LSB) insertion in spatial domain techniques is a very popular approach of hiding information in a cover image. This paper presents a new algorithm to hide a RGB image in another RGB image based on LSB insertion technique. The concept of mapping is applied on RGB images for making it more secure. Two different key-boxes for each channel are used for mapping. Each of these two key-boxes for a channel have 4 different values which are used to map the pixel values of that channel of secret image to 3 LSB bits of corresponding channel of cover image. The proposed method provides extra security as without the knowledge of mapping technique, it is not possible to extract the secret information. Further, the hiding capacity is good and the quality of stego-image is improved by using fewer number of LSB bits for hiding the secret information.