Simple LSB Substitution Research Articles

Color-based microscopic image steganography for telemedicine applications using pixel value differencing algorithm

There are some ethics in the medical world to keep patient information confidential on every result of medical observations and analysis. Therefore, steganography technique is an alternative to conceal sensitive text information on a medical image in the telemedicine system process. Research on steganography using Simple LSB-Substitution and other algorithm has been available but in this study, the implementation of steganography was designed to hide text in color medical images before being sent through the telemedicine system. Sensitive text is hidden in medical images using the Pixel Value Differencing (PVD) algorithm. The main purpose of using this algorithm is to maintain the peak signal to noise ratio (PSNR) and mean square error (MSE) of the steganography image result. As a result, the PSNR value can be maintained at the 57,98dB for 10KB hidden text, and lower MSE at 0.05 for high-density object microscopic image.

Information Hiding for G.711 Speech Based on Substitution of Least Significant Bits and Estimation of Tolerable Distortion

In this paper, we propose a novel data hiding technique for G.711-coded speech based on the LSB substitution method. The novel feature of the proposed method is that a low-bitrate encoder, G.726 ADPCM, is used as a reference for deciding how many bits can be embedded in a sample. Experiments showed that the method outperformed the simple LSB substitution method and the selective embedding method proposed by Aoki. We achieved 4-kbit/s embedding with almost no subjective degradation of speech quality, and 10kbit/s while maintaining good quality.

LSB-Based Steganography Using Reflected Gray Code

Steganography aims to hide secret data into an innocuous cover-medium for transmission and to make the attacker cannot recognize the presence of secret data easily. Even the stego-medium is captured by the eavesdropper, the slight distortion is hard to be detected. The LSB-based data hiding is one of the steganographic methods, used to embed the secret data into the least significant bits of the pixel values in a cover image. In this paper, we propose an LSB-based scheme using reflected-Gray code, which can be applied to determine the embedded bit from secret information. Following the transforming rule, the LSBs of stego-image are not always equal to the secret bits and the experiment shows that the differences are up to almost 50 %. According to the mathematical deduction and experimental results, the proposed scheme has the same image quality and payload as the simple LSB substitution scheme. In fact, our proposed data hiding scheme in the case of G1 (one bit Gray code) system is equivalent to the simple LSB substitution scheme.

Hiding data in images by simple LSB substitution

In this paper, a data hiding scheme by simple LSB substitution is proposed. By applying an optimal pixel adjustment process to the stego-image obtained by the simple LSB substitution method, the image quality of the stego-image can be greatly improved with low extra computational complexity. The worst case mean-square-error between the stego-image and the cover-image is derived. Experimental results show that the stego-image is visually indistinguishable from the original cover-image. The obtained results also show a significant improvement with respect to a previous work.

A FAST AND SECURE IMAGE HIDING SCHEME BASED ON LSB SUBSTITUTION

The improving technology and the ubiquity of the Internet have allowed more and more people to transmit data via the Internet. The contents of the transmission can be in the form of words, voices, images, or even computer animation. To protect the contents from interceptors' attention, the image hiding technology thus emerged. Some contents transmitted via the Internet can be confidential data such as highly valued product design blueprints or war plans, so it is important to pay more attention to the security of the transmitted data, or what we called secret image in this paper. The point of this paper is to enhance the security of the secret image without causing too much distortion to the host image and in the meantime to shorten the image hiding process time. For better protection, we adopted encryption process DES. In addition, we used greedy algorithm to shorten hiding process and to protect the host image from being severely distorted. To test our proposed method to see whether it indeed achieved its objective, we used two sets of images in our experiment. The results of the experiments showed, when k = 2, our PSNR is close to that of Wang et al.'s optimal LSB substitution, but is not significantly different from that of simple LSB substitution. However, our method took approximately only 1/7 of the time consumed by Wang et al. When k = 3, our PSNR is significantly higher than that of simple LSB substitution. The experimental results confirmed that our method could effectively protect host image quality and shorten the overall hiding time when it enhanced the security of the secret image.

Image hiding by optimal LSB substitution and genetic algorithm

In this paper, we develop a novel method to embed important data in the host image so that the interceptors will not notice about the existence of the data. The basic concept of the proposed method is by simple LSB substitution. To prevent illicit access of data and increase the system performance, the method of randomized process and the optimal LSB substitution are proposed. The effectiveness of the optimal LSB substitution in the worst case is proved. We also develop a genetic algorithm to solve the problem of hiding important data in the rightmost k LSBs of the host image, which may involve a huge computation time to find the optimal result when k is large. Finally, based on the concept of perceptual modeling, an improved hiding technique is developed to obtain a high-quality embedding result. Experimental results will reveal that the quality of the embedding result will not be seriously degraded, and is near optimal by utilizing the proposed method.