Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning

A method for analyzing network traffic based on quantum machine learning is presented. A method for network traffic encoding into quantum computer terms is developed. The experimental results show the superiority of the proposed approach over traditional machine learning methods for detecting networ...

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Detalles Bibliográficos
Autores principales: Kalinin, M. O., Krundyshev, V. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pleiades Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886188/
http://dx.doi.org/10.3103/S014641162108040X
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author Kalinin, M. O.
Krundyshev, V. M.
author_facet Kalinin, M. O.
Krundyshev, V. M.
author_sort Kalinin, M. O.
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description A method for analyzing network traffic based on quantum machine learning is presented. A method for network traffic encoding into quantum computer terms is developed. The experimental results show the superiority of the proposed approach over traditional machine learning methods for detecting network attacks.
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spelling pubmed-88861882022-03-01 Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning Kalinin, M. O. Krundyshev, V. M. Aut. Control Comp. Sci. Article A method for analyzing network traffic based on quantum machine learning is presented. A method for network traffic encoding into quantum computer terms is developed. The experimental results show the superiority of the proposed approach over traditional machine learning methods for detecting network attacks. Pleiades Publishing 2022-03-01 2021 /pmc/articles/PMC8886188/ http://dx.doi.org/10.3103/S014641162108040X Text en © Allerton Press, Inc. 2021, ISSN 0146-4116, Automatic Control and Computer Sciences, 2021, Vol. 55, No. 8, pp. 1165–1174. © Allerton Press, Inc., 2021.Russian Text © The Author(s), 2020, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Kalinin, M. O.
Krundyshev, V. M.
Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning
title Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning
title_full Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning
title_fullStr Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning
title_full_unstemmed Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning
title_short Analysis of a Huge Amount of Network Traffic Based on Quantum Machine Learning
title_sort analysis of a huge amount of network traffic based on quantum machine learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886188/
http://dx.doi.org/10.3103/S014641162108040X
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