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Publications (38)
Today’s challenges determine the need to improve the biometric authentication of personnel of critical infrastructure facilities. Common means of biometric authentication, which are usually based on the use of neural network technologies for facial image analysis, need improvement in the direction of adaptation to the conditions of recognition duri...
The scientific monograph presents theoretical and practical aspects of the development of science, technology and innovation in the modern world. It covers general issues of technical and physical and mathematical sciences, biological and medical sciences, law, economics and management, pedagogical and philological sciences, etc. The publication is...
The scientific monograph presents theoretical and practical aspects of the development of science, technology and innovation in the modern world. It covers general issues of technical and physical and mathematical sciences, biological and medical sciences, law, economics and management, pedagogical and philological sciences, etc. The publication is...
Currently, means of semantic segmentation of images, based on the use of neural networks, are increasingly used in computer systems for various purposes. Despite significant successes in this field, one of the most important unsolved problems is the task of determining the type and parameters of convolutional neural networks, which are the basis of...
The relevance of the implementation of means of recognition of the emotional state by the image of the face into the personnel management system is well-founded. It is shown that the implementation of such tools leads to the need to adapt the values of architectural parameters of neural network models for detecting the boundaries of target objects...
An important direction of increasing the security and expanding the functionality of modern information systems is the introduction of face recognition tools and user emotions by their keyboard handwriting. The expediency of improving the indicated recognition means by introducing modern neural network solutions into them is shown. A way has been d...
The article is devoted to the problem of ensuring reliable authentication of users of information systems for various purposes. The prospects of solving this problem through the use of voice signal analysis tools to recognize the speaker’s personality are shown. The main advantages of such tools include the increased durability of the biometric acc...
The article deals with improvement of personality and emotion recognizers based on the keystroke pattern. The article shows that improvement of those recognizers can be implemented using neural network solutions. Based on the analysis of literature sources, we have determined the potential of using convolutional neural networks. The difficulties of...
The urgency of the task of developing tools for neural network analysis of biometric parameters for recognizing the personality and emotions of students of the distance learning system has been substantiated. The necessity of formalizing the architectural solutions used in the creation of software for neural network analysis of biometric parameters...
Обоснована актуальность задачи внедрения в существующие системы дистанционного обучения инструментальных средств распознавания личности и эмоций слушателей на основании анализа их голоса. Показана перспективность разработки программных средств нейросетевого анализа голоса. Установлено, что в современной научно-прикладной литературе недостаточное вн...
The article is devoted to increasing the efficiency of technologies of covert monitoring of operators' activity by information and control systems of various purposes for face recognition and emotional state. It is shown that from the standpoint of the possibility of using standard computer peripherals as a sensor for reading biometric parameters,...
Разработаны средства распознавания эмоционального состояния диктора. Показана перспективность использования нейронных сетей для анализа фиксированных фрагментов голосового сигнала. Установлена необходимость адаптации вида и параметров нейросетевой модели к условиям задачи распознавания эмоций по голосу. В результате проведенных исследований определ...
The article is devoted to increase of efficiency of the means of analysis of biometric characteristics of subjects, interacting with information-control systems of various purpose. It is shown that from the standpoint of the possibility of using as a sensor the reading of the biometric parameters of the standard peripheral equipment of the computer...
The article is devoted to the problem of improving Biometric identification systems based on Keystroke Dynamics for recognizing emotions and authenticating users of information systems through the implementation of modern neural network solutions based on Convolutional Neural Network (CNN). It is established that the difficulties of such implementa...
This paper deals with improvement of malware protection efficiency. The analysis of applied scientific researches devoted to creation of malware protection systems suggests that the improvement of mathematical tools using modern neural network models based on deep neural networks is a promising trend in the development of malware detection systems....
The study focuses on increasing the effectiveness of web server load forecasting systems, which are utilized for technical state diagnostics and ensuring data security of distributed computer systems and networks. The analysis of applied research papers has shown that a promising way of web server load forecasting systems development is improving t...
This paper deals with improvement of malware protection efficiency. The analysis of applied scientific research on malware protection development has shown that improvement of the methods for deobfuscation of program code being analyzed is one of the main means of increasing efficiency of malware recognition. This paper demonstrates that the main d...
The article is devoted to the development of a neural network model intended for use in the system of biometric user authentication based on the analysis of the geometry of the auricle. It is determined that from the point of view of using neural network methods the main features of the recognition task are the number of recognizable users, the siz...
The relevance to investigate the influence of low-frequency sound oscillations on universal computer system hardware is shown. Based on the analysis of hardware functionality and protection modern technologies, it is determined that hard disk is the most vulnerable part of the computer system. An experimental setup has been developed, which makes i...
The article is devoted to improve the efficiency of the system of biometric authentication on the basis of neural network fingerprint recognition. Analysis of modern neural network biometric authentication tools shows that it is possible to increase efficiency by adapting the structural parameters of the convolutional neural network to the peculiar...
This article discusses potentials of mathematical support improvement of detection systems of remote cyber-attacks on network resources of data systems. Herewith, efficiency improvement of cyber-attacks management is achieved by models on the basis of deep neural networks. This is aided by appropriate neural network model which is pre-trained by me...