Development of methodology for modeling the interaction of antagonistic agents in cybersecurity systems

This paper proposes an approach to the geospatial assessment of a territorial road network based on the fractals theory. This approach allows us to obtain quantitative values of spatial complexity for any transport network and, in contrast to the classical indicators of the transport provisions of a territory (Botcher, Henkel, Engel, Goltz, Uspensky, etc.), consider only the complexity level of the network itself, regardless of the area of the territory. The degree of complexity is measured by a fractal dimension. A method for calculating the fractal dimension based on a combination of box counting and GIS analysis is proposed. We created a geoprocessing script tool for the GIS software system ESRI ArcGIS 10.7, and a study of the spatial pattern of the transport network of the Ukraine territory, and other countries of the world, was made. The results of the study will help to better understand the different aspects of the development of transport networks, their changes over time and the impact on the socioeconomic indicators of urban development.

The article analyzes the main aspects of creating virtual assistants that are part of intelligent computer programs – artificial intelligence systems (AI). The main task of “artificial intelligence” is to ensure effective communication of intelligent robotic systems (including unmanned vehicles) with humans. The basis of the above is in-depth training (systematic machine translation, speech recognition, processing of complex texts in natural languages, computer vision, automation of driving, etc.). This machine learning subsystem can be characterized using neural network models that mimic the brain. Any neural network model learns from large data sets, so it acquires some “skills”, but how it uses them remains for engineers, which ultimately becomes one of the most important problems for many deep learning applications. The reason is that such a model is formal and without an understanding of the logic of its actions. This raises the question: is it possible to increase the level of trust in such systems based on machine learning? Machine learning algorithms are complex mathematical descriptions and procedures and have a growing impact on people's lives. As the decision is increasingly determined by the algorithms, they become less transparent and understandable. Based on the foregoing, the paper considers the issues of the technological component and the algorithms of virtual digital assistants, conducts information modeling based on the conceptual model of the interaction of the virtual assistant with the database, and analyzes the scope and further development of the IT-sphere.

The article considers the preconditions for use of the biometric identification and authentication methods based on the features of a human thermogram. The article presents the method of solution of the problem of recognition of a human face contour thermogram, which can improve the quality of functioning of the information security system and provide high factors of FAR and FRR. The method consists in the fact that initially for all image pixels the squared norm of gradient of change of their brightness was calculated. Then on a new black and white monochrome matrix by black colour on a white background all elements are set off, whose values of the norm of the gradient are over a threshold value. As outlines of objects in a monochrome matrix, we take coherent configurations of elements in black. Further, the coefficient is determined and the threshold value of squared norm of gradient is calculated. It is necessary to take into account that the values are higher than the overall average levels of non-zero changes in rows and columns, respectively, and among the connected configurations of elements in black on the monochrome matrix, the configurations, in which the number of input elements is less than a certain value, are rejected. For remaining configurations the average degree of neighborhood is calculated, i.e. the result of division of the sum of all elements of the configuration of neighboring elements into the sum of the elements in the configuration. At the same time, the configurations in which the average degree of neighborhood is less than three are rejected, and the remaining ones are accepted as the desired object boundaries.

Modern computer modeling is an important stage in the design of control systems for the distribution of information flows in computer networks and in modern control systems for complex technological processes. The core of any computer model is a source of randomness, which should generate a uniformly distributed stream of random integers or real numbers. In addition to the uniformity of distribution, such a source must meet the requirements of economic use of computing system resources. An analysis of simple arithmetic generators is given and, based on it, it is shown that generators such as the Fibonacci sequence generator with a delay and the Xorshift generator proposed by J. Marsaglia are suitable as a generator for the needs of modeling stochastic processes, which are an alternative to the random number generators built into existing programming environment. On the basis of the conducted research, it was concluded that any unevenness of the numbers at the output of the generator chosen as a source of randomness significantly affects the quality of the process to be modeled, and because of this, the numerical flows from such generators should be additionally processed by methods extraction of that part of them that provides maximum randomness. The method of performing such extraction by "slicing" the input stream, the criteria used in this, and the results of its experimental research for the Xorshift128 generator are presented. A conclusion is made about the advantages of using simple and economical generators in a heap with post-processing procedures performed at the level of integers or real numbers. The results of the evaluation of the Xorshift generator, taking into account the methods described in the work, are given, and a conclusion is made about the feasibility of its use for the needs of modeling stochastic processes.

The current experience to ensure of government information resources in the advanced information and telecommunication infrastructures, in terms of the analysis of trends in the state, budget, investment, scientific, technical and human resources policy, as well as to address the complex issues related to information security throughout the national information infrastructure a review. Проведен обзор современного опыта по обеспечению защиты государственных информационных ресурсов в странах с развитой информационной и телекоммуникационной инфраструктурами, с точки зрения анализа тенденций в государственной, бюджетной, инвестиционной, научно-технической и кадровой политике, а также, по решению комплекса проблем, связанных с обеспечением информационной безопасности национальной информационной инфраструктуры. Проведений огляд сучасного досвіду із забезпечення захисту державних інформаційних ресурсів у країнах з розвинутою інформаційною та телекомунікаційною інфраструктурами, з точки зору аналізу тенденцій у державній, бюджетній, інвестиційній, науково-технічній та кадровій політиці, а також, з вирішення комплексу проблем, пов’язаних із забезпеченням інформаційної безпеки всієї національної інформаційної інфраструктури.