Results 101 to 110 of about 9,736 (132)
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2021
This work is devoted to the study of emergency situations in direct current supply systems (DCSS), such as secondary switching networks connected to discrete inputs of microprocessor terminals of relay protection and the development of methods and algorithms for their detection. Problems that were solved in the course of work: 1.
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This work is devoted to the study of emergency situations in direct current supply systems (DCSS), such as secondary switching networks connected to discrete inputs of microprocessor terminals of relay protection and the development of methods and algorithms for their detection. Problems that were solved in the course of work: 1.
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2022
The topic of the graduate qualification work is «Detecting attacks on smart buildings using machine learning methods».The purpose of the study is to solve the problem of intrusion detection in the BACnet network in the âsmart buildingâ environment using supervised machine learning methods.
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The topic of the graduate qualification work is «Detecting attacks on smart buildings using machine learning methods».The purpose of the study is to solve the problem of intrusion detection in the BACnet network in the âsmart buildingâ environment using supervised machine learning methods.
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2023
The purpose of the study is to evaluate the effectiveness of using reinforcement learning to test the possibility of bypassing XSS filtering of a web application firewall. The subject of the study is the effectiveness of using reinforcement learning to test the ability to bypass a firewall for web applications in the context of XSS attacks.
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The purpose of the study is to evaluate the effectiveness of using reinforcement learning to test the possibility of bypassing XSS filtering of a web application firewall. The subject of the study is the effectiveness of using reinforcement learning to test the ability to bypass a firewall for web applications in the context of XSS attacks.
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2019
РнаÑÑоÑÑей вÑпÑÑкной квалиÑикаÑионной ÑабоÑе ÑпеÑиалиÑÑа пÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑезÑлÑÑаÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑименимоÑÑи нейÑоÑеÑевой аÑÑ Ð¸ÑекÑÑÑÑ LSTM-GAN Ð´Ð»Ñ ÑеÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñи обнаÑÑÐ¶ÐµÐ½Ð¸Ñ Ð°Ð½Ð¾Ð¼Ð°Ð»Ð¸Ð¹ ÑеÑевого ÑÑа
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РнаÑÑоÑÑей вÑпÑÑкной квалиÑикаÑионной ÑабоÑе ÑпеÑиалиÑÑа пÑÐ¸Ð²ÐµÐ´ÐµÐ½Ñ ÑезÑлÑÑаÑÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð¿ÑименимоÑÑи нейÑоÑеÑевой аÑÑ Ð¸ÑекÑÑÑÑ LSTM-GAN Ð´Ð»Ñ ÑеÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°Ñи обнаÑÑÐ¶ÐµÐ½Ð¸Ñ Ð°Ð½Ð¾Ð¼Ð°Ð»Ð¸Ð¹ ÑеÑевого ÑÑа
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2018
Рданной ÑабоÑе изложен Ð¿Ð¾Ð´Ñ Ð¾Ð´ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ FDI-аÑак на инÑеллекÑÑалÑнÑе ÑнеÑгоÑеÑи Ñ Ð¸ÑполÑзованием пÑоÑÑÑанÑÑвенно-вÑеменнÑÑ ÐºÐ¾ÑÑелÑÑий.
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Рданной ÑабоÑе изложен Ð¿Ð¾Ð´Ñ Ð¾Ð´ Ð´Ð»Ñ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ FDI-аÑак на инÑеллекÑÑалÑнÑе ÑнеÑгоÑеÑи Ñ Ð¸ÑполÑзованием пÑоÑÑÑанÑÑвенно-вÑеменнÑÑ ÐºÐ¾ÑÑелÑÑий.
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2023
The topic of the graduate qualification work is «Phishing site detection based on visual similarity score». The purpose of the study is improving the effectiveness of protection against phishing sites. The subject of the work is a method for detecting phishing sites. The research set the following goals: 1. Prepare a database of phishing sites.
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The topic of the graduate qualification work is «Phishing site detection based on visual similarity score». The purpose of the study is improving the effectiveness of protection against phishing sites. The subject of the work is a method for detecting phishing sites. The research set the following goals: 1. Prepare a database of phishing sites.
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2018
In the given work the essence of the approach to network attack detection using classification algorithm based on ant colony algorithm is stated. A compar-ative analysis of existing algorithms is performed and the most suitable algorithm is chosen. A testing is undertaken and detection accuracy values are obtained us-ing chosen datasets. An analysis of
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In the given work the essence of the approach to network attack detection using classification algorithm based on ant colony algorithm is stated. A compar-ative analysis of existing algorithms is performed and the most suitable algorithm is chosen. A testing is undertaken and detection accuracy values are obtained us-ing chosen datasets. An analysis of
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2023
The topic of the graduate qualification work is «Detection of unauthorized channels of control of the nodes of computer network». The purpose of the study is development of method of detection of unauthorized channels of control of the nodes of computer network.
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The topic of the graduate qualification work is «Detection of unauthorized channels of control of the nodes of computer network». The purpose of the study is development of method of detection of unauthorized channels of control of the nodes of computer network.
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ÐбнаÑÑжение веб-аÑак в облаÑнÑÑ ÑеÑвиÑаÑ
The aim of the work is to improve the quality of web attack detection in cloud services. The subject of the study is the choice of an optimal machine learning algorithm for detecting web attacks with an attack detection accuracy higher than that of existing attack detection systems (SOA). Tasks to be solved during the research: 1.openaire +1 more source
2023
The purpose of the study is to determine the essential parameters of the neural network architecture for building a highly efficient intrusion detection system. The subject of the work is the parameters of the neural network architecture used to recognize network attacks. The research set the following goals: 1. Studying of the principle of functioning
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The purpose of the study is to determine the essential parameters of the neural network architecture for building a highly efficient intrusion detection system. The subject of the work is the parameters of the neural network architecture used to recognize network attacks. The research set the following goals: 1. Studying of the principle of functioning
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