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International Conference on Radio Electronics & Info communications (UkrMiCo)

作者： A.E. Goriushkina I.V. Svyd G.E. Zavolodko G.V. Maistrenko Department of Computer science and Programming National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine Dept. Radiotechnologies Information and Communication Systems Kharkiv National University of Radio Electronics Kharkiv Ukraine Department of Information Systems National Technical University «KhPI» NTU «KhPI» Kharkiv Ukraine Department of Electronic Computers Kharkiv National University of Radio Electronics Kharkiv Ukraine

ISBN: (数字)9781538652640

ISBN: (纸本)9781538652657

In the paper, based on a comparative analysis of the methods of processing time-interval codes used as secondary surveillance radar information signals consisting of a different sequence of performing joint decoding operations, selecting signals by duration and time position, it is shown that the most effective is the signal processing method in which first the signals are decoded, then the signals are selected in accordance with the duration and in the future with the selection according to the time position, which provides the lowest probability of a false alarm of the first kind.

关键词： Radar Interference Decoding Security Radar signal processing Surveillance

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Research of Energy Detection Method in Spectrum Sensing in Cognitive Radio Networks

Research of Energy Detection Method in Spectrum Sensing in C...

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International Conference on information Science and communications Technologies (ICISCT)

作者： Ernazar Reypnazarov Halimjon Khujamatov Doston Khasanov Zamira Allamuratova Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Computer Enjineering Faculty Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Data Communication Networks and Systems Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Information-Computer Technologies and Programming Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan

This paper presents the threshold value determination model, its implementation algorithm, and the characteristics of the threshold value depending on the probability of false signal detection, developed for the purpose of researching the method of energy determination in spectrum sensing in cognitive radio networks. Also, the main methods of single-band spectrum sensing in cognitive radio networks were initially studied in the article, and the main spectrum detection algorithms were comparatively analyzed.

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A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset 26

A Horizontal Federated Learning Approach to IoT Malware Traf...

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26th International Conference on Advanced communications Technology, ICACT 2024

作者： Do, Phuc Hao Le, Tran Duc Vishnevsky, Vladimir Berezkin, Aleksandr Kirichek, Ruslan The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Saint-Petersburg Russia Danang Architecture University Da Nang Viet Nam University of Telecommunications Department of Communication Networks and Data Transmission at Bonch-Bruevich Saint-Petersburg State Russia University of Science and Technology The University of Danang Da Nang Viet Nam The University of Danang University of Science and Technology Information Technology Faculty Danang Viet Nam V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Institute of Control Sciences of Russian Academy of Sciences Russia Bonch Bruevich Saint Petersburg State University of Telecommunications Department of Programming Engineering and Computer Science Russia

ISBN: (纸本)9791188428120

The increasing prevalence of botnet attacks in IoT networks has led to the development of deep learning techniques for their detection. However, conventional centralized deep learning models pose challenges in simultaneously ensuring user data privacy and detecting botnet attacks. To address this issue, this study evaluates the efficacy of Federated Learning (FL) in detecting IoT malware traffic while preserving user privacy. The study employs N-BaIoT, a dataset of real-world IoT network traffic infected by malware, and compares the effectiveness of FL models using Convolutional Neural Network, Long Short-Term Memory, and Gated Recurrent Unit models with a centralized approach. The results indicate that FL can achieve high performance in detecting abnormal traffic in IoT networks, with the CNN model yielding the best results among the three models evaluated. The study recommends the use of FL for IoT malware traffic detection due to its ability to preserve data privacy. © 2024 Global IT Research Institute - GIRI.

关键词： Malware

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Structure and Functioning of information Systems of Background Monitoring of Landscape Elements of Gorgany Nature Reserve

Structure and Functioning of Information Systems of Backgrou...

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International Conference on Advanced Computer information Technologies (ACIT)

作者： Yaroslav Nykolaychuk Yaroslav Petrashchuk Olena Slobodian Ihor Pitukh Taras Grynchyshyn Lyubov Nykolaychuk Volodymyr Hryha Department of Specialized Computer Systems Ternopil National Economic University Ternopil Ukraine Gorgany nature reserve Nadvirna Ukraine Department of Programming and Information Technologies Nadvirna College by National Transport University Nadvirna Ukraine Department of Social Communication and Law Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk Ukraine Department of Computer Engineering and Electronics Vasyl Stefanyk Precarpathian National University Ivano-Frankivsk Ukraine

ISBN: (数字)9781728167602

ISBN: (纸本)9781728167619

This paper discusses the structural organization of the background monitoring system (BMS) of the transboundary UNESCO World Heritage Site “Beech forests of the Carpathians and ancient beech forests of Germany” using actual data and information from Gorgany Nature Reserve in Ivano-Frankivsk, Ukraine. The features of the structure and functions of background monitoring of the protected natural resources, forests and wildlife of Gorgany Nature Reserve is based on modern methods of collecting and processing of digital data, implementation of the principles of Internet of Things and cloud technologies, combined with GPS-systems, sensor networks with the use of optical and fiber-optic telecommunication channels. The information technology of the background monitoring system is based on figurative cluster models of monitoring objects according to theoretical principles of statistical, correlatory, spectral, cluster, logic-statistical and entropy analysis.

关键词： Monitoring Forestry Correlation Optical fiber sensors Optical fibers Biological system modeling

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Digital education in the coronavirus era

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Journal of Physics: Conference Series 2020年第1期1691卷

作者： A I Dzhangarov H E Hanmurzaev N V Potapova Department of Programming and Information and Communication Chechen State University Sheripova Street 32 Groznyy 364093 Russia Department of Information Educational Technologies Kuban State University Stavropol'skaya street 149 Krasnodar 350001 Russia

following work outlines a study of the transformation of the educational process during the coronavirus pandemic. The object of the study is the Moscow region, which in the study is represented by seven universities. The subject of the research is the reports of students of these universities, which contain an opinion about the quality of distance education and the degree of satisfaction with it. Messages were collected and classified using machine learning methods-they were grouped according to various topics, from organizational issues to questions of personal well-being. Based on the results of the research carried out, a general assessment of the digital educational process by students is given.

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Electronic digital signature

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IOP Conference Series: Materials Science and Engineering 2020年第5期862卷

作者： A I Dzhangarov M A Suleymanova Department of Programming and Information and Communication Chechen State University Sheripova Street 32 Groznyy 364093 Russia Department of Business Informatics Chechen State University Sheripova Street 32 Groznyy 364093 Russia

The object of this article is an electronic digital signature that allows to identify the author of the document. An electronic digital signature is some details of the source document obtained by converting information using special cryptographic algorithms. In addition to determining the author, it also allows to check the accuracy of the information and evaluate its distortion from the moment of the formation of the signature itself. As part of the scientific work, a software product was created that was able to sign electronic documents using one of the well-known cryptographic algorithms, and the prospects for the development of this direction were also analyzed. Despite the fact that the electronic signature has not yet become widespread, there is a high probability that its widespread adoption in public and private institutions is expected in the very near future.

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Principles of organizing a hardware of information collection system perceptron for a quantum hashing problem

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AIP Conference Proceedings 2024年第1期2969卷

作者： V. D. Munister A. L. Zolkin A. I. Dzhangarov Department of mathematical methods and system analysis Mariupol State University Prospect Builders 129 a Mariupol 87500 Ukraine Computer and Information Sciences Department Povolzhskiy State University of Telecommunications and Informatics Samara 443010 Russia Department of Programming and Information and Communication Kadyrov Chechen State University 32 Sheripova Street Groznyy 364093 Russia

The article raises the issue of organizing the signal processing process in existing classes of digital systems and analogue-to-digital converters. The authors indicate a significant problem of the synthesis of controlled action (and its adequate perception by the control system through the "sensory level of perception", in particular, the aspectology of redundancy in computing power and the problem of choice and delegation in stream processing of signals).A solution for an information system for collecting and managing data based on peripheral interrogation of sensors is generalized and formalized. For the first time authors are developing a new class of hardware devices that combine the principles of organization of neural pathogens (perceptrons) that work within the activation function and trend line (neural memory), and quantum logic in a Boolean basis. The functional testing of the developed device is presented, the simplicity and reliability of the hardware implementation is indicated. While formulating research methods, the goal is to develop a reliable integrative system for information support of the hardware circuit system. A structural block of controlled addiction has been implemented, taking into account quantum caching that is taken as a mean of ensuring the unity and consistency of data transmission from the measuring environment in case of increasing its structural component. Options for the practical implementation of the information and analytical structure of the hardware perceptron in the industrial Internet of Things are considered in the conclusion.

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A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset

A Horizontal Federated Learning Approach to IoT Malware Traf...

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International Conference on Advanced communication Technology (ICACT)

作者： Phuc Hao Do Tran Duc Le Vladimir Vishnevsky Aleksandr Berezkin Ruslan Kirichek The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Saint-Petersburg Russia Danang Architecture University Da Nang Viet Nam Department of Communication Networks and Data Transmission at Bonch-Bruevich Saint-Petersburg State University of Telecommunications Russia University of Science and Technology - The University of Danang Da Nang Viet Nam Information Technology Faculty The University of Danang - University of Science and Technology Danang Vietnam V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences Moscow Russia Institute of Control Sciences of Russian Academy of Sciences Russia Department of Programming Engineering and Computer Science Bonch Bruevich Saint Petersburg State University of Telecommunications

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Compression testing of soils by utilizing method of constant rate of loading

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IOP Conference Series: Earth and Environmental Science 2019年第3期315卷

作者： A I Dzhangarov E R Guzueva H A Akhmetova H G Chaplaev N V Potapova Department of Programming and Information and Communication Chechen State University Sheripova Street 32 Groznyy 364093 Russia Department of Business Informatics Chechen State University Sheripova Street 32 Groznyy 364093 Russia Department of Economics and Management in Education Chechen State Pedagogical University Kievskaya street 33 Groznyy 364031 Russia Department of Information Educational Technologies Kuban State University Stavropol`skaya street 149 Krasnodar 350001 Russia

The work outlines one of the most frequently encountered methods of soil compression testing - the method of constant rate of loading (CRL). Compression tests, in fact, are laboratory tests to determine the deformation characteristics of soils. There are a large number of methods that differ in the approach to the study of soils, the duration of the test, etc. The most reliable results, which are close to those obtained in practice, are provided by the so-called method of constant rate of loading as was mentioned before. However, it also has its drawbacks - the time that is spent on researching the properties of the soil. It usually takes about two weeks. In order to optimize this method, a software product was created that relies on the developed mathematical apparatus and allows you to significantly speed up the data processing process and build a forecast regarding soil characteristics.

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Face recognition methods

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IOP Conference Series: Materials Science and Engineering 2020年第4期862卷

作者： A I Dzhangarov M A Suleymanova A L Zolkin Department of Programming and Information and Communication Chechen State University Sheripova Street 32 Groznyy 364093 Russia Department of Business Informatics Chechen State University Sheripova Street 32 Groznyy 364093 Russia Department of Water Transport Volga State University of Water Transport (Samara branch) Molodogvardeiskaya Street 62-64 Samara 443099 Russia

Nowadays, a science as cybernetics is gaining popularity. World society is on the verge of digitalization a technological and social sectors of human life. One of the most popular areas of cybernetics is computer vision. Systems of video assistants that recognize images and objects are widely distributed, and social test and control systems are introduced in test mode. In this regard, the relevance of research in this area is extremely high. This paper provides an analysis of the available methods for recognizing faces in images and discusses the software implementation of one of them.

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