Artificial intelligence for traffic control in data networks: A Review

Traffic control in data networks has recently become very important due to the massive use of computer networks in different areas of society. Different techniques are usually used to carry out effective traffic control, allowing, among other things, to classify, predict and monitor network traffic....

Full description

Autores:

Tipo de recurso:: Article of journal

Fecha de publicación:: 2022

Institución:: Universidad Católica de Pereira

Repositorio:: Repositorio Institucional - RIBUC

Idioma:: spa

id	RepoRIBUC2_0c68cef344fb8c064eb12fb93212eb7e
oai_identifier_str	oai:repositorio.ucp.edu.co:10785/13697
network_acronym_str	RepoRIBUC2
network_name_str	Repositorio Institucional - RIBUC
repository_id_str
spelling	2022-06-282023-08-29T03:49:40Z2023-08-29T03:49:40Zhttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/265510.31908/19098367.2655http://hdl.handle.net/10785/13697Traffic control in data networks has recently become very important due to the massive use of computer networks in different areas of society. Different techniques are usually used to carry out effective traffic control, allowing, among other things, to classify, predict and monitor network traffic. These techniques have evolved and are currently supported by artificial intelligence tools, which have made it possible to improve the results obtained with conventional techniques. This paper collects the different contributions made by the field of artificial intelligence to the improvement of these techniques and network management in general. The article describes the contributions made in aspects such as security, prediction, and classification of data traffic, as well as the optimization of routing in a computer network.El control del tráfico en las redes de datos ha cobrado gran importancia en los últimos tiempos debido al uso masivo que se le está dando a las redes informáticas en distintos ámbitos de la sociedad. Con el fin de realizar un control de tráfico efectivo, se suele hacer uso de diferentes técnicas que permiten, entre otras cosas, clasificar, predecir y monitorear el tráfico de la red. Estas técnicas han ido evolucionando y actualmente se apoyan en métodos de inteligencia artificial, lo cual ha permitido mejorar los resultados obtenidos con las técnicas convencionales. El presente artículo recopila los diferentes aportes realizados por el campo de la inteligencia artificial al mejoramiento de estas técnicas y a la gestión de redes en general. Se describen los aportes realizados en aspectos tales como la seguridad, la predicción y clasificación del tráfico de datos, así como la optimización del ruteo en una red informática.application/pdfapplication/xmlspaUniversidad Católica de Pereirahttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2577https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2639Derechos de autor 2022 Entre Ciencia e Ingenieríahttps://creativecommons.org/licenses/by-nc/4.0/deed.es_ESinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Entre ciencia e ingeniería; Vol 16 No 31 (2022); 17-24Entre Ciencia e Ingeniería; Vol. 16 Núm. 31 (2022); 17-24Entre ciencia e ingeniería; v. 16 n. 31 (2022); 17-242539-41691909-8367Artificial intelligence for traffic control in data networks: A ReviewInteligencia artificial para el control de tráfico en redes de datos: Una RevisiónArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionLeón, Daruin ArleyMartínez Cuenca, James GustavoArdila Sánchez, Ismael AntonioMosquera Palacios, Darin JairoPublication10785/13697oai:repositorio.ucp.edu.co:10785/136972025-01-27 18:31:00.747metadata.onlyhttps://repositorio.ucp.edu.coRepositorio Institucional de la Universidad Católica de Pereira - RIBUCbdigital@metabiblioteca.com
dc.title.eng.fl_str_mv	Artificial intelligence for traffic control in data networks: A Review
dc.title.spa.fl_str_mv	Inteligencia artificial para el control de tráfico en redes de datos: Una Revisión
title	Artificial intelligence for traffic control in data networks: A Review
spellingShingle	Artificial intelligence for traffic control in data networks: A Review
title_short	Artificial intelligence for traffic control in data networks: A Review
title_full	Artificial intelligence for traffic control in data networks: A Review
title_fullStr	Artificial intelligence for traffic control in data networks: A Review
title_full_unstemmed	Artificial intelligence for traffic control in data networks: A Review
title_sort	Artificial intelligence for traffic control in data networks: A Review
description	Traffic control in data networks has recently become very important due to the massive use of computer networks in different areas of society. Different techniques are usually used to carry out effective traffic control, allowing, among other things, to classify, predict and monitor network traffic. These techniques have evolved and are currently supported by artificial intelligence tools, which have made it possible to improve the results obtained with conventional techniques. This paper collects the different contributions made by the field of artificial intelligence to the improvement of these techniques and network management in general. The article describes the contributions made in aspects such as security, prediction, and classification of data traffic, as well as the optimization of routing in a computer network.
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2023-08-29T03:49:40Z
dc.date.available.none.fl_str_mv	2023-08-29T03:49:40Z
dc.date.none.fl_str_mv	2022-06-28
dc.type.spa.fl_str_mv	Artículo de revista
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.none.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.coarversion.none.fl_str_mv	http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv	info:eu-repo/semantics/publishedVersion
format	http://purl.org/coar/resource_type/c_6501
status_str	publishedVersion
dc.identifier.none.fl_str_mv	https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655 10.31908/19098367.2655
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/10785/13697
url	https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655 http://hdl.handle.net/10785/13697
identifier_str_mv	10.31908/19098367.2655
dc.language.none.fl_str_mv	spa
language	spa
dc.relation.none.fl_str_mv	https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2577 https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2639
dc.rights.spa.fl_str_mv	Derechos de autor 2022 Entre Ciencia e Ingeniería https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
dc.rights.accessrights.none.fl_str_mv	info:eu-repo/semantics/openAccess
dc.rights.coar.none.fl_str_mv	http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv	Derechos de autor 2022 Entre Ciencia e Ingeniería https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.none.fl_str_mv	application/pdf application/xml
dc.publisher.spa.fl_str_mv	Universidad Católica de Pereira
dc.source.eng.fl_str_mv	Entre ciencia e ingeniería; Vol 16 No 31 (2022); 17-24
dc.source.spa.fl_str_mv	Entre Ciencia e Ingeniería; Vol. 16 Núm. 31 (2022); 17-24
dc.source.por.fl_str_mv	Entre ciencia e ingeniería; v. 16 n. 31 (2022); 17-24
dc.source.none.fl_str_mv	2539-4169 1909-8367
institution	Universidad Católica de Pereira
repository.name.fl_str_mv	Repositorio Institucional de la Universidad Católica de Pereira - RIBUC
repository.mail.fl_str_mv	bdigital@metabiblioteca.com
_version_	1828143353540116480

Artificial intelligence for traffic control in data networks: A Review

Publicaciones similares