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检索条件"任意字段=2023 Seminar on Information Computing and Processing, ICP 2023"

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Proceedings of the seminar on information computing and processing, icp 2023

Proceedings of the Seminar on Information Computing and Proc...

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2023 seminar on information computing and processing, icp 2023

ISBN: (纸本)9798350369830

The proceedings contain 56 papers. The topics discussed include: software for presenting a scientist’s personal brand;methodology for applying IIoT architecture to design IIoT systems in the agricultural sector of the Russian Federation;regarding the stability assessment of the informatization object under the conditions of computer attacks at the exponential distribution law of time to an enemy impact;scientific gamification of students in the study of artificial intelligence technology;advanced fog neural network design method;study of pseudo-random number generators with feedback shift register;the problem of ensuring the information security of robots in the implementation of the laws of robotics;overview of the accelerated platform for robotics and artificial intelligence NVIDIA Isaac;and semantic text summarization for Myanmar language using word embedding and graph based approach.

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Intelligent Analysis of Big Data in the information Flow

Intelligent Analysis of Big Data in the Information Flow

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2023 seminar on information computing and processing, icp 2023

作者： Chetyrbok, Petr V. Shostak, Marina A. V.I. Vernadsky Crimean Federal University Candidate of Sci. Eng. and Assoc. Prof. at the Dept. of Comp. Studies and Information Technologies Simferopol Russia Sochi State University Graduate Student at the Faculty of Tourism and Service Sochi Russia

The article considers the use of AI methods for creation of a knowledge base in the field of recreation using a national interactive map of local cultural trends. The map contains thousands of brands classified into 9... 详细信息

ISBN: (纸本)9798350369830

关键词： Big data

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Development of an Automated information System for the IT Clinic

Development of an Automated Information System for the IT Cl...

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2023 seminar on information computing and processing, icp 2023

作者： Shipunov, Ilya S. Nyrkov, Anatoliy P. Knysh, Tatiana P. Shipunova, Diana A. Demenev, Danil A. Zubanova, Anastasia A. Admiral Makarov State University of Maritime and Inland Shipping Chair of Complex Information Security Provision St. Petersburg Russia

ISBN: (纸本)9798350369830

Nowadays, modern universities organise units in which students of IT can obtain additional practical skills in IT during extracurricular time. Most often, their work is organized according to the clinic principle and, accordingly, requires various types of accounting and analytics. This paper deals with the development of an automated information system for the needs of IT clinic of Admiral Makarov State University of Maritime and Inland Shipping. © 2023 IEEE.

关键词： information systems

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Absolute Randomness as a Key Part of information Security

Absolute Randomness as a Key Part of Information Security

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2023 seminar on information computing and processing, icp 2023

作者： Kulagin, Vladimir P. Titov, Andrey P. Alexandrov, Alexander E. Borisov, Sergey P. Bunina, Ludmila V. Bikovsky, Sergey S. Russian Technolical University-MIREA Dept. of Hardware Software and and Mathematical Support of Computational Systems Moscow Russia

ISBN: (纸本)9798350369830

The paper describes a technology for sending and assembling data packets based on a random selection of servers. It is this approach that avoids a lot of problems in the field of information security. The given solution is considered for an abstract industry, and can be adapted to any needs. In the final part of the article, a description of the software solution developed for the implementation of this technology is presented. © 2023 IEEE.

关键词： Python

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Zero-Knowledge Proof and its Application in Distributed Registry Systems

Zero-Knowledge Proof and its Application in Distributed Regi...

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2023 seminar on information computing and processing, icp 2023

作者： Skorobogatova, Anastasia E. Butakova, Natalia G. National Research University of Electronic Technology Department of Information Security Moscow Russia Moscow Polytechnic University National Research University of Electronic Technology Department of Information Security Moscow Russia

ISBN: (纸本)9798350369830

Existing distributed ledger systems ensure the integrity and availability of information, but they lack built-in mechanisms to ensure the confidentiality of transaction data recorded in the ledger. Any intruder can obtain all transaction data by downloading a copy of the ledger and trace the relationships between transactions and accounts. Thus, additional mechanisms are needed to ensure the confidentiality of transactions. One solution to this problem is to use a zero-knowledge proof protocol. This article discusses the use of zero-knowledge proof to ensure the confidentiality of transactions in distributed ledger systems. We consider both the UTXO-model and the account model. © 2023 IEEE.

关键词： Distributed ledger

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Strategies and Methods of Overcoming Threats to information Security in Social Educational Networks

Strategies and Methods of Overcoming Threats to Information ...

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2023 seminar on information computing and processing, icp 2023

作者： Shimichev, Alexey S. Rotanova, Mira B. Veretennikova, Vasilisa A. Minin Nizhny Novgorod State Pedagogical University Department of Foreign Language Professional Communication Nizhny Novgorod Russia Linguistics University of Nizhny Novgorod Department of Advertisement Public Relations and Tourism Nizhny Novgorod Russia

ISBN: (纸本)9798350369830

The article analyzes the didactic potential of using social networks as components of electronic information and educational systems of educational institutions. It is noted that social educational networks are increasingly subject to hacking attacks and are a source of information security threats. It is given the nomenclature of potential threats, as well as their characteristics. It is proposed a set of protection methods against threats that can be undertaken individually by the technical services of educational institutions. The advantages and disadvantages of each method are considered. They are given the examples of software products which use would reduce the risks of information security in social networks. Most of these tools are currently either little known or not available on the market. The creation and development of such products is supposed a promising task. © 2023 IEEE.

关键词： Personal computing

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The Mandatory State Digital Register of Personal Data processing Consents

The Mandatory State Digital Register of Personal Data Proces...

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2023 seminar on information computing and processing, icp 2023

作者： Burenok, Dmitry S. National Research University of Electronic Technology 'MIET' Information Security Department Moscow Russia

ISBN: (纸本)9798350369830

In today's world, data subjects daily express consents to the processing of a variety of personal data, including sensitive data. Consents are expressed both on paper and electronically, e.g., for profiling, targeted advertising, and cross-border transmission. It's physically difficult for a data subject to control the list of consents he has ever given to specific geographically distributed companies, to consider data processed, processing attributes, and possible risks from the data breach. The article describes the unified state-mandated digital register of personal data processing consents, designed to provide systematic management of consents and data breach risks, discusses the technological structure, the register functionality, ensuring anonymity and security of data contained in the register, integration of the register to legal space of modern states and their unions to protect data subject rights and reduce paper overuse for environmental improvement. © 2023 IEEE.

关键词： Sensitive data

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Application of Machine Learning and Parallel computing to Search for Hypersurfaces Containing Data in Non-Linear Spaces

Application of Machine Learning and Parallel Computing to Se...

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2023 seminar on information computing and processing, icp 2023

作者： Demidova, Kristina Voronova, Anna Zhilenkov, Anton A. St. Petersburg State Marine Technical University Department of Cyber-Physical Systems Saint Petersburg Russia

ISBN: (纸本)9798350369830

To apply machine learning in practice, you often need to process a large amount of data and this takes a lot of time. The use of parallel computing and other types of parallelism can significantly speed up calculations, sometimes even without changing the algorithm itself. This paper explores the use of machine learning and parallel computing to search for hypersurfaces containing data in non-linear spaces. Since the transfer of data between the CPU and GPU is very speed- limited, it is important to be able to generate geometry directly on the GPU. Using various vertex arrays makes it easy to transfer a large amount of various vertex attributes (such as coordinates, normal/binormal, color, texture coordinates, etc.) directly to the GPU and quickly render data. The main advantages of using CUDA for parallel computing are its simplicity and flexibility. © 2023 IEEE.

关键词： Machine learning

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Comparative Analysis of Renewable Energy Production Forecasting Algorithms Using Python

Comparative Analysis of Renewable Energy Production Forecast...

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2023 seminar on information computing and processing, icp 2023

作者： Buchatskiy, Pavel Yu. Teploukhov, Semen V. Lisov, Dmitry N. Rudenko, Marina A. Kazak, Anatoliy N. Dorofeeva, Anna A. Adyghe State University Processing and Control Systems Department of Automated Information Maykop Russia Federal University Business of V.I. Vernadsky Crimean Department of Management and Touristic Simferopol Russia

ISBN: (纸本)9798350369830

In this paper, forecasting algorithms were tested on renewable energy production data and their comparative analysis was carried outThe machine learning methods that were used in the work are DecisionTree, AdaBoost, RandomForest and LSTM *** the analysis of the results of the study, it can be seen that the accuracy of the forecast of the LSTM neural network is higher than all other methods considered, but at the cost of this was the speed of creating a forecast *** the considered methods, according to the combination of time and quality criteria, LSTM neural networks turned out to be the best for data analysis, showing the best accuracy. But for SMALL HYDRO and SOLAR data, RandomForest is the preferred method. It made it possible to build sufficiently accurate models in much less time than neural networks. © 2023 IEEE.

关键词： Forecasting

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Justification of an Experimental Stand Based on a Software-Defined Radio System for Detecting Technical Channels of information Leakage

Justification of an Experimental Stand Based on a Software-D...

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2023 seminar on information computing and processing, icp 2023

作者： Porkhun, Anatoly S. Dushkin, Alexandr V. Gureev, Alexandr V. Los, Vladimir P. National Research University of Electronic Technology Department of Information Security Zelenograd Russia

ISBN: (纸本)9798350369830

The work is devoted to the development of a method and means of protecting acoustic information from leakage due to high-frequency irradiation based on SDR technology. One of the dangerous technical channels for leakage of acoustic information from the premises is an active leakage channel created by high-frequency irradiation of semi-active laying devices installed in the room. Based on the results of the system analysis, the requirements for the means of detecting high-frequency radiation signals are justified, the analysis of possible construction schemes is carried out and the block diagram of the means of detecting high-frequency radiation signals is justified. The following is a description of a laboratory stand consisting of an ultrahigh-frequency signal generator, a software-defined radio system, and a laptop on which the software developed by the authors is deployed. The results of experimental studies on the detection of high-frequency radiation signals are presented. © 2023 IEEE.

关键词： Irradiation

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