Network anomaly detection using Machine Learning techniques

Detalles Bibliográficos
Autor: Schummer Bengoa, Pilar
Tipo de recurso: tesis de maestría
Fecha de publicación:2024
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:82976
Acceso en línea:https://oa.upm.es/82976/
Access Level:acceso abierto
Palabra clave:Anomaly
Machine learning
Detection
Artificial intelligence
Prediction
Network traffic
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oai_identifier_str oai:oa.upm.es:82976
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network_name_str España
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spelling Network anomaly detection using Machine Learning techniquesSchummer Bengoa, PilarAnomalyMachine learningDetectionArtificial intelligencePredictionNetwork trafficRío Ponce, Alberto delSerrano Romero, Javier20242024-07-12master thesishttp://purl.org/coar/resource_type/c_bdccinfo:eu-repo/semantics/masterThesishttps://oa.upm.es/82976/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:829762026-06-21T12:45:07Z
dc.title.none.fl_str_mv Network anomaly detection using Machine Learning techniques
title Network anomaly detection using Machine Learning techniques
spellingShingle Network anomaly detection using Machine Learning techniques
Schummer Bengoa, Pilar
Anomaly
Machine learning
Detection
Artificial intelligence
Prediction
Network traffic
title_short Network anomaly detection using Machine Learning techniques
title_full Network anomaly detection using Machine Learning techniques
title_fullStr Network anomaly detection using Machine Learning techniques
title_full_unstemmed Network anomaly detection using Machine Learning techniques
title_sort Network anomaly detection using Machine Learning techniques
dc.creator.none.fl_str_mv Schummer Bengoa, Pilar
author Schummer Bengoa, Pilar
author_facet Schummer Bengoa, Pilar
author_role author
dc.contributor.none.fl_str_mv Río Ponce, Alberto del
Serrano Romero, Javier
dc.subject.none.fl_str_mv Anomaly
Machine learning
Detection
Artificial intelligence
Prediction
Network traffic
topic Anomaly
Machine learning
Detection
Artificial intelligence
Prediction
Network traffic
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-07-12
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://oa.upm.es/82976/
url https://oa.upm.es/82976/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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