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ÐбнаÑÑжение клаÑÑов аÑак Ñ Ð¸ÑполÑзованием LSTM-ÑеÑей
2022The topic of the graduate qualification work is «Detection of attack classes using LSTM networks». The purpose of the study is detection and classification of network attacks using LSTM networks. The subject of the work is modern methods of automated detection of network attacks.
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РеконÑÑÑÑкÑÐ¸Ñ ÐС 35/6 ÐºÐ Ñ Ð¿ÐµÑеводом на напÑÑжение 110/6 кÐ
2022Тема вÑпÑÑкной квалиÑикаÑионной ÑабоÑÑ : "РеконÑÑÑÑкÑÐ¸Ñ ÐС 35\6 ÐºÐ Ñ Ð¿ÐµÑеводом на напÑÑжение 110\6 кÐ". ÐбÑем пÑоекÑа ÑоÑÑавлÑеÑ: 48 ÑÑÑÐ°Ð½Ð¸Ñ Ñ ÑекÑÑом, 5 ÑаблиÑ, 11 ÑиÑÑнков.ÐÐ»Ñ ÑеконÑÑÑÑкÑии бÑла вÑбÑÐ ...
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2023
The purpose of the study is to improve the security of the companiesâ domain infrastructure. The subject of the work is attacks on domain authentication. The research set the following goals: 1. Analysis of attacks on domain authentication. 2. Research a database with attacks, selecting features to detect attacks. 3.
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The purpose of the study is to improve the security of the companiesâ domain infrastructure. The subject of the work is attacks on domain authentication. The research set the following goals: 1. Analysis of attacks on domain authentication. 2. Research a database with attacks, selecting features to detect attacks. 3.
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2022
Topic of the final qualification work: "Attack detection by reinforcement learning". The purpose of the work is to detect malicious traffic among packet streams using a neural network using a reinforcement learning architecture. The subject of the research is modern methods of packet filtering.
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Topic of the final qualification work: "Attack detection by reinforcement learning". The purpose of the work is to detect malicious traffic among packet streams using a neural network using a reinforcement learning architecture. The subject of the research is modern methods of packet filtering.
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2021
ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа напÑавлена на ÑазÑабоÑÐºÑ ÑиÑÑÐµÐ¼Ñ Ð´Ð»Ñ ÑаÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¡OVID-19 и дÑÑÐ³Ð¸Ñ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ð¹ Ð»ÐµÐ³ÐºÐ¸Ñ Ð¿Ð¾ ÑенÑгеновÑким Ñнимкам. ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ вÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑабоÑÑ: 1.
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ÐÐ°Ð½Ð½Ð°Ñ ÑабоÑа напÑавлена на ÑазÑабоÑÐºÑ ÑиÑÑÐµÐ¼Ñ Ð´Ð»Ñ ÑаÑÐ¿Ð¾Ð·Ð½Ð°Ð²Ð°Ð½Ð¸Ñ Ð¡OVID-19 и дÑÑÐ³Ð¸Ñ Ð·Ð°Ð±Ð¾Ð»ÐµÐ²Ð°Ð½Ð¸Ð¹ Ð»ÐµÐ³ÐºÐ¸Ñ Ð¿Ð¾ ÑенÑгеновÑким Ñнимкам. ÐадаÑи, коÑоÑÑе ÑеÑалиÑÑ Ð² Ñ Ð¾Ð´Ðµ вÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑабоÑÑ: 1.
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2021
The given work is devoted to implementation of intrusion detection system based on bioinformatics method MetaFast. The goal of the work is intrusion detection with bioinformatics method MetaFast in the Internet. The research contains a study of methods for comparative metagenomics.
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The given work is devoted to implementation of intrusion detection system based on bioinformatics method MetaFast. The goal of the work is intrusion detection with bioinformatics method MetaFast in the Internet. The research contains a study of methods for comparative metagenomics.
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2022
The topic of the final qualifying work: "Berthing structure of giant massifs in the Severnaya Bay". The purpose of the work: the design of a mooring and fencing structure from giant monoliths based on the available design documentation for the object being designed in the Severnaya Bay.
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The topic of the final qualifying work: "Berthing structure of giant massifs in the Severnaya Bay". The purpose of the work: the design of a mooring and fencing structure from giant monoliths based on the available design documentation for the object being designed in the Severnaya Bay.
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ÐбнаÑÑжение аÑак в MANET на оÑнове ÑепÑÑаÑионной модели
2020This work is devoted to the study of the applicability of the reputation model to the routing protocol for protection against network attacks in MANET. Tasks that were solved during the study: 1. Choosing the most suitable routing protocol to apply a reputation model to it. 2.
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ÐÑиÑиÑеÑкое мÑÑление
2019УÑебное поÑобие по английÑÐºÐ¾Ð¼Ñ ÑзÑÐºÑ Ð´Ð»Ñ ÑÑÑденÑов гÑманиÑаÑнÑÑ Ð½Ð°Ð¿Ñавлений ÑвлÑеÑÑÑ Ð´Ð¾Ð¿Ð¾Ð»Ð½Ð¸ÑелÑнÑм кÑÑÑом по диÑÑиплине «ÐноÑÑÑаннÑй ÑзÑк». Ðно ÑодеÑÐ¶Ð¸Ñ Ð¾ÑÑÑвки из оÑиÑиалÑнÑÑ Ð²ÑÑÑÑплений
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ÐлекÑÑоÑнеÑгеÑика. ÐзолÑÑÐ¸Ñ Ð¸ пеÑенапÑÑжение
2001ÐеÑаÑаеÑÑÑ Ð¿Ð¾ ÑеÑÐµÐ½Ð¸Ñ ÑедакÑионно-издаÑелÑÑкого ÑовеÑа СанкÑ-ÐеÑеÑбÑÑгÑкого гоÑÑдаÑÑÑвенного ÑÐµÑ Ð½Ð¸ÑеÑкого ÑнивеÑÑиÑеÑа.
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