WebRequests

Biardo, Deborah - González, Guzmán - Lanzotti, Sabrina

Resumen:

A dataset of labeled requests assembled from several public datasets, namely, Malicious-URLs, PKDD, and CSIC 2010 (also included). To merge the datasets, only the URI of each web request was used. To construct a feature vector to train the networks, each URI was tokenized in unigrams following a bag-of-words approach. For each URI, the values of the unigrams were computed using term frequency–inverse document frequency (TF–IDF). Each URI was represented by an l1-normalized vector composed of the 500 most frequent tokens across the entire dataset.


Detalles Bibliográficos
2020
Agencia Nacional de Investigación e Innovación
Web requests
Attack detection
Ciencias Naturales y Exactas
Ciencias de la Computación e Información
Agencia Nacional de Investigación e Innovación
REDI
https://hdl.handle.net/20.500.12381/475
Acceso abierto
Reconocimiento 4.0 Internacional. (CC BY)
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author Biardo, Deborah
author2 González, Guzmán
Lanzotti, Sabrina
author2_role author
author
author_facet Biardo, Deborah
González, Guzmán
Lanzotti, Sabrina
author_role author
bitstream.checksum.fl_str_mv 2d97768b1a25a7df5a347bb58fd2d77f
fc60e662a208be4a4ffca8e45456dd44
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/475/2/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/475/1/WebRequests.zip
collection REDI
dc.creator.none.fl_str_mv Biardo, Deborah
González, Guzmán
Lanzotti, Sabrina
dc.date.accessioned.none.fl_str_mv 2021-10-18T11:56:56Z
dc.date.available.none.fl_str_mv 2021-10-18T11:56:56Z
dc.date.issued.none.fl_str_mv 2020-11
dc.description.abstract.none.fl_txt_mv A dataset of labeled requests assembled from several public datasets, namely, Malicious-URLs, PKDD, and CSIC 2010 (also included). To merge the datasets, only the URI of each web request was used. To construct a feature vector to train the networks, each URI was tokenized in unigrams following a bag-of-words approach. For each URI, the values of the unigrams were computed using term frequency–inverse document frequency (TF–IDF). Each URI was represented by an l1-normalized vector composed of the 500 most frequent tokens across the entire dataset.
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación
dc.identifier.anii.es.fl_str_mv POS_ICT4V_2016_1_15, FSDA_1_2018_1_154419, FMV_1_2019_1_155913.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/475
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.license.none.fl_str_mv Reconocimiento 4.0 Internacional. (CC BY)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:REDI
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.anii.none.fl_str_mv Ciencias Naturales y Exactas
Ciencias de la Computación e Información
dc.subject.es.fl_str_mv Web requests
Attack detection
dc.title.none.fl_str_mv WebRequests
dc.type.es.fl_str_mv Conjunto de datos
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_ddb1
description A dataset of labeled requests assembled from several public datasets, namely, Malicious-URLs, PKDD, and CSIC 2010 (also included). To merge the datasets, only the URI of each web request was used. To construct a feature vector to train the networks, each URI was tokenized in unigrams following a bag-of-words approach. For each URI, the values of the unigrams were computed using term frequency–inverse document frequency (TF–IDF). Each URI was represented by an l1-normalized vector composed of the 500 most frequent tokens across the entire dataset.
eu_rights_str_mv openAccess
format source_type/c_ddb1
id REDI_bfb6181fe02827c921d09adcb1e2d9c3
identifier_str_mv POS_ICT4V_2016_1_15, FSDA_1_2018_1_154419, FMV_1_2019_1_155913.
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
network_acronym_str REDI
network_name_str REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/475
publishDate 2020
reponame_str REDI
repository.mail.fl_str_mv jmaldini@anii.org.uy
repository.name.fl_str_mv REDI - Agencia Nacional de Investigación e Innovación
repository_id_str 9421
rights_invalid_str_mv Reconocimiento 4.0 Internacional. (CC BY)
Acceso abierto
spelling Reconocimiento 4.0 Internacional. (CC BY)Acceso abiertoinfo:eu-repo/semantics/openAccess2021-10-18T11:56:56Z2021-10-18T11:56:56Z2020-11https://hdl.handle.net/20.500.12381/475POS_ICT4V_2016_1_15, FSDA_1_2018_1_154419, FMV_1_2019_1_155913.A dataset of labeled requests assembled from several public datasets, namely, Malicious-URLs, PKDD, and CSIC 2010 (also included). To merge the datasets, only the URI of each web request was used. To construct a feature vector to train the networks, each URI was tokenized in unigrams following a bag-of-words approach. For each URI, the values of the unigrams were computed using term frequency–inverse document frequency (TF–IDF). Each URI was represented by an l1-normalized vector composed of the 500 most frequent tokens across the entire dataset.Agencia Nacional de Investigación e InnovaciónWeb requestsAttack detectionCiencias Naturales y ExactasCiencias de la Computación e InformaciónWebRequestsConjunto de datoshttp://purl.org/coar/resource_type/c_ddb1//Ciencias Naturales y Exactas/Ciencias de la Computación e Información/Ciencias de la Computación e Informaciónreponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónBiardo, DeborahGonzález, GuzmánLanzotti, SabrinaLICENSElicense.txtlicense.txttext/plain; charset=utf-84746https://redi.anii.org.uy/jspui/bitstream/20.500.12381/475/2/license.txt2d97768b1a25a7df5a347bb58fd2d77fMD52ORIGINALWebRequests.zipWebRequests.zipapplication/octet-stream81906497https://redi.anii.org.uy/jspui/bitstream/20.500.12381/475/1/WebRequests.zipfc60e662a208be4a4ffca8e45456dd44MD5120.500.12381/4752021-10-18 08:56:57.315oai:redi.anii.org.uy:20.500.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- Agencia Nacional de Investigación e Innovaciónfalse
spellingShingle WebRequests
Biardo, Deborah
Web requests
Attack detection
Ciencias Naturales y Exactas
Ciencias de la Computación e Información
title WebRequests
title_full WebRequests
title_fullStr WebRequests
title_full_unstemmed WebRequests
title_short WebRequests
title_sort WebRequests
topic Web requests
Attack detection
Ciencias Naturales y Exactas
Ciencias de la Computación e Información
url https://hdl.handle.net/20.500.12381/475

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