The article considers the problem of cryptanalysis of an information security system based on a difficult-to-solve problem of Diophantine equations. A mathematical model of such a protection system is described in the article and a solution to the cryptanalysis problem using an artificial immune system adapted for solving Diophantine equations is proposed. The paper discusses the basic principles of building artificial immune systems and presents the results of experiments on evaluating the effectiveness of the proposed system of Diophantine equations of a degree not exceeding six. The results obtained demonstrate the possibility of using artificial immune systems to solve the problem of cryptanalysis of information security systems based on Diophantine equations.
Keywords: cryptanalysis, information security system, diophantine equations, artificial immune system, adaptive algorithm, efficiency assessment
This article discusses a solution to the problem of transferring image styles using a convolutional neural network. First, the general mathematical concept of the image style transfer algorithm is considered, and then the implementation of this algorithm using Keras and TensorFlow libraries for the Python programming language, as well as the convolutional neural network VGG19, which is part of these libraries.
Keywords: machine creativity, image style transfer, convolutional neural network, Keras library, TensorFlow library, Python programming language, VGG19 network