Oleg Evsutin

An Adaptive Algorithm for the Steganographic Embedding Information into the Discrete Fourier Transform Phase Spectrum

On the example of digital images there are investigated properties of the discrete Fourier transform (DFT) used to embed information into the phase spectrum. The investigation helped to form a new steganografic algorithm that can be used in case of non- compressed images. Peculiarity of the algorithm is changeable size of information put into the blocks of stego-image. Characteristics of the suggested algorithm are comparable with the analog ones, they allow to get the correct information without mistakes.

The adaptive algorithm of information unmistakable embedding into digital images based on the discrete Fourier transformation

Many effective methods of the data embedding into digital images are based on the frequency transformations. However use of similar transformations is connected to the following problem: the built-in message is distorted because of information losses in case of restoration of pixels’ integer values from the frequency domain. It represents a vital issue if the integrity of the transmitted data is critical. For example, an insignificant distortion of the ciphered message results in impossibility of deciphering and to loss of all ciphered information. In this paper is described the new algorithm of the information embedding into digital images on the basis of the discrete Fourier transformation allowing to provide unmistakable extraction of the built-in messages from the frequency domain. The faultlessness is reached through an iterative procedure of embedding and non-uniform distribution of the message parts for the image-container’s blocks. Our algorithm not only solves a problem of the built-in messages distortions, but also provides high visual quality of stego-image. Moreover, our approach to the unmistakable embedding of information into the digital images frequency domain is applicable not only for the discrete Fourier transformation, but also for other frequency transformations.

Approach to the selection of the best cover image for information embedding in JPEG images based on the principles of the optimality

Abstract In the presented research, the decision support in order to increase the efficiency of providing confidentiality of information with the use of methods of digital steganography is considered. These methods allow one to secretly transmit confidential information using various digital objects. When hiding information with the use of steganography, digital images are often used, among which compressed JPEG images are of the greatest popularity. The efficiency of information embedding into JPEG images substantially depends on properties of the source image used as a container. Therefore, in the considered field of information security, the relevant problem is to provide the decision support about the choice of digital cover objects that are the most suitable for the transmitting of the given amount of information. In the given paper, we provide an approach to the support of the selection of the best cover image out of a number of JPEG images, based on the application of the principles of optimality. The implementation of the given approach with the reference to the popular method of embedding (JSteg) is given. The results of experiments show that the considered approach allows us to select such an image from a set of cover images, for which the best visual quality of embedding is provided.

Integer properties of a composition of exponential generating functions

In this paper, we study a composition of exponential generating functions. We obtain new properties of this composition, which allow to distinguish prime numbers from composite numbers. Using the results of the paper we get the known properties of the Bell numbers (Touchard’s Congruence for k = 0).In this paper, we study a composition of exponential generating functions. We obtain new properties of this composition, which allow to distinguish prime numbers from composite numbers. Using the results of the paper we get the known properties of the Bell numbers (Touchard’s Congruence for k = 0).

The architecture of the management system of complex steganographic information

The aim of the study is to create a wide area information system that allows one to control processes of generation, embedding, extraction, and detection of steganographic information. In this paper, the following problems are considered: the definition of the system scope and the development of its architecture. For creation of algorithmic maintenance of the system, classic methods of steganography are used to embed information. Methods of mathematical statistics and computational intelligence are used to identify the embedded information. The main result of the paper is the development of the architecture of the management system of complex steganographic information. The suggested architecture utilizes cloud technology in order to provide service using the web-service via the Internet. It is meant to provide streams of multimedia data processing that are streams with many sources of different types. The information system, built in accordance with the proposed architecture, will be used in the following areas: hidden transfer of documents protected by medical secrecy in telemedicine systems; copyright protection of online content in public networks; prevention of information leakage caused by insiders.

An improved algorithm of digital watermarking based on wavelet transform using learning automata

In this paper, we present an algorithm for embedding digital watermarks in digital images. Embedding is based on block quantization of DWT coefficients. A distinctive feature of this paper is the use of learning automata for the optimal redistribution of energy in blocks of DWT coefficients during the quantization. The obtained algorithm is highly efficient in terms of the quality criteria for embedding and can be used both for embedding digital watermarks and for arbitrary messages.

The Algorithm of Continuous Optimization Based on the Modified Cellular Automaton

This article is devoted to the application of the cellular automata mathematical apparatus to the problem of continuous optimization. The cellular automaton with an objective function is introduced as a new modification of the classic cellular automaton. The algorithm of continuous optimization, which is based on dynamics of the cellular automaton having the property of geometric symmetry, is obtained. The results of the simulation experiments with the obtained algorithm on standard test functions are provided, and a comparison between the analogs is shown.