Vol 9, No 6 (2023)

An integro-differential operator is specified that determines the longitudinal component of the electric field strength on the surface of the emitter conductor of an Unbalanced Monopole with Shunt Feed, created by the Base Current (BC). Analytical expressions are obtained that determine the parameters of an equivalent eight pole, which is the internal resistance of equivalent BC generators. The influence of the length of the counterweight conductors and the upper load of the high-voltage transformer on the efficiency and gain was studied.

The article discusses the problems of direct spread spectrum signal’s parameters estimation and estimation performance analyzing. The achieved estimation variances compared with the corresponding Cramer ‒ Rao bounds as a rule. The proposed approach makes it possible to determine the bounds for signals of various types of modulation and spectral characteristics. The dependences of the Cramer ‒ Rao bounds on the signal-to-noise ratio, the spread spectrum sequence length and the duration of the observation interval are presented.

The article is devoted to the analysis of traffic classification methods in SDN network. The review of analytical approaches of traffic identification to identify the solutions used in them, as well as assessing their applicability in the SDN network. Types of machine learning are considered and input parameters are analyzed. The methods of intelligent analysis covered in the scientific articles are systematized according to the following criteria: traffic identification parameters, neural network model, identification accuracy. Based on the analysis of the review results, the conclusion is made about the possibility of applying the considered solutions, as well as the need to form a scheme of SDN network with a module of artificial intelligence elements for load balancing.

The article studies the problem of ensuring information security in the field of telecommunications using the phasing method. The analysis of modern software products designed for testing by the fuzzing method is carried out, their disadvantages are revealed, and an approach to the creation of a universal mutation protocol fuzzer is proposed. The method of test data formation allows to automate the process of searching for vulnerabilities in telecommunication protocols and pro-software. Its novelty lies in the formation of test constructs on the basis of parameters of fields of telecommunication protocols. The proposed fuzzy solution allows to form an attack vector on the basis of known parameters presented in the threat database, as well as to modify these attack vectors.

The article is devoted to the searching for vulnerabilities in software problem, as well as the possibilities of application of such a promising area in information technology as machine learning. For this purpose, a review of scientific publications in this area from Russian and foreign citation databases is made. A comparative analysis of the review's results was made according to the following criteria: publication year, application field, idea, solved problem of machine learning, degree of realization of its models and methods; for each criterion basic conclusions were drawn. As a result, 7 principles of building a new conceptual system of searching for vulnerabilities in software with the help of machine learning are proposed, the short meaning of which is as follows: program's multilateral study, combination of known methods, the use of machine learning in each method and algorithm of its management, the possibility of correcting the expert's work, storing information in a database and its synchronization with external, advisory nature of the found vulnerabilities; single software application usage. Based on the stated principles, a graphical scheme of such a system has been developed.

The work solves the problem an analytical model constructing of the user interaction interface with an information system designed to provide information based on multi-parameter user requests. The model purpose is to evaluate the effectiveness of the interface and, accordingly, the interaction itself. To do this, using an example of typical work with an interface, the following prerequisites (as conditions) for modeling are introduced: the effectiveness of the interface, its forms and transitions between them, interface elements, the atomic efficiency of the element and form, the order of their arrangement and the empirical dependence of efficiency, as well as the formulation interface design tasks. Using these premises, an appropriate efficiency model has been formed, which allows us too analytically, based on the structure and parameters of the interface, evaluate its effectiveness, operativeness and resource efficiency. A software prototype was created, which was based on the model and with the help of which a number of experiments were carried out under three scenarios, consisting of changing the number of forms and interface elements in order to determine their impact on overall efficiency; the corresponding dependencies were obtained in the form of histograms. Conclusions are drawn regarding the accuracy of the model, its theoretical and practical significance, as well as the overall complexity of designing “ideal” interfaces.