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title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: Computer attack detection by means of using quantum machine learning
Creators: name: Ð¡Ð¾Ð²Ð¸Ð½, ÐÐ½Ð´ÑÐµÐ¹
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÐÐ°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
Ð°Ð½Ð°Ð»Ð¸Ð· ÑÑÐ°ÑÐ¸ÐºÐ°
ÐºÐ²Ð°Ð½ÑÐ¾Ð²ÑÐ¹ ÐºÐ¾Ð¼Ð¿ÑÑÑÐµÑ
network traffic analysis
quantum computer

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description: The topic of the graduate qualification work is Â«Computer attack detection by means of using quantum machine learningÂ». The purpose of the study is accuracy raising of network attack detection using quantum machine learning. The subject of the work are quantum machine learning methods. The research set the following tasks: Analysis of approaches to detecting network attacks.Investigation of the principles of operation of various methods of quantum machine learning. Evaluation of the accuracy of detecting computer attacks using quantum machine learning methods and developed coding schemes. During the work, modern methods of building intrusion detection systems, as well as methods of quantum machine learning were investigated.As a result of the work, two algorithms for encoding network streams into qubits were developed. The network streams encoded in this way were used to train a quantum convolutional neural network. The results obtained can be used as an intrusion detection system to protect some network from computer attacks.