Web attack detection using ID3

Autores
García, Víctor H.; Monroy, Raúl; Quintana, Maricela
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. This paper reports on the use of ID3 to Web attack detection. Even though simple, ID3 is sufficient to put apart a number of Web attacks, including a large proportion of their variants. It also surpasses existing methods: it portrays a higher true-positive detection rate and a lower false-positive one. The ID3 output classification rules that are easy to read and so computer officers are more likely to grasp the root of an attack, as well as extending the capabilities of the classifier.
Applications in Artificial Intelligence - Applications
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Web-based services
Security and protection (e.g., firewalls)
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/24247
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/24247
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network_name_str SEDICI (UNLP)
spelling Web attack detection using ID3García, Víctor H.Monroy, RaúlQuintana, MaricelaCiencias InformáticasWeb-based servicesSecurity and protection (e.g., firewalls)Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. This paper reports on the use of ID3 to Web attack detection. Even though simple, ID3 is sufficient to put apart a number of Web attacks, including a large proportion of their variants. It also surpasses existing methods: it portrays a higher true-positive detection rate and a lower false-positive one. The ID3 output classification rules that are easy to read and so computer officers are more likely to grasp the root of an attack, as well as extending the capabilities of the classifier.Applications in Artificial Intelligence - ApplicationsRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24247enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:48:24Zoai:sedici.unlp.edu.ar:10915/24247Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:48:24.321SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Web attack detection using ID3
title Web attack detection using ID3
spellingShingle Web attack detection using ID3
García, Víctor H.
Ciencias Informáticas
Web-based services
Security and protection (e.g., firewalls)
title_short Web attack detection using ID3
title_full Web attack detection using ID3
title_fullStr Web attack detection using ID3
title_full_unstemmed Web attack detection using ID3
title_sort Web attack detection using ID3
dc.creator.none.fl_str_mv García, Víctor H.
Monroy, Raúl
Quintana, Maricela
author García, Víctor H.
author_facet García, Víctor H.
Monroy, Raúl
Quintana, Maricela
author_role author
author2 Monroy, Raúl
Quintana, Maricela
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Web-based services
Security and protection (e.g., firewalls)
topic Ciencias Informáticas
Web-based services
Security and protection (e.g., firewalls)
dc.description.none.fl_txt_mv Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. This paper reports on the use of ID3 to Web attack detection. Even though simple, ID3 is sufficient to put apart a number of Web attacks, including a large proportion of their variants. It also surpasses existing methods: it portrays a higher true-positive detection rate and a lower false-positive one. The ID3 output classification rules that are easy to read and so computer officers are more likely to grasp the root of an attack, as well as extending the capabilities of the classifier.
Applications in Artificial Intelligence - Applications
Red de Universidades con Carreras en Informática (RedUNCI)
description Decision tree learning algorithms have been successfully used in knowledge discovery. They use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. This paper reports on the use of ID3 to Web attack detection. Even though simple, ID3 is sufficient to put apart a number of Web attacks, including a large proportion of their variants. It also surpasses existing methods: it portrays a higher true-positive detection rate and a lower false-positive one. The ID3 output classification rules that are easy to read and so computer officers are more likely to grasp the root of an attack, as well as extending the capabilities of the classifier.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/24247
url http://sedici.unlp.edu.ar/handle/10915/24247
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34655-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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