An Adaptive Mechanism to Protect Databases against SQL Injection

The purpose of this article is to present an adaptive and intelligent mechanism that can handle SQL injection attacks. This proposal focuses on integrating a case-based reasoning (CBR) mechanism with a neural network. The proposed solution thus adapts to changes in attack patterns and provides the a...

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Detalles Bibliográficos
Autores: Pinzón Trejos, Cristian, De Paz, Juan, Bajo, Javier, Corchado, Juan
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:Panamá
Institución:Universidad Tecnológica de Panamá
Repositorio:Repositorio Institucional de documento digitales de acceso abierto de la UTP
Idioma:inglés
OAI Identifier:oai:ridda2.utp.ac.pa:123456789/4893
Acceso en línea:http://ridda2.utp.ac.pa/handle/123456789/4893
Access Level:acceso abierto
Palabra clave:SQL Injection
database security
case-based reasoning
neural network
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spelling An Adaptive Mechanism to Protect Databases against SQL InjectionPinzón Trejos, CristianDe Paz, JuanBajo, JavierCorchado, JuanSQL Injectiondatabase securitycase-based reasoningneural networkSQL Injectiondatabase securitycase-based reasoningneural networkThe purpose of this article is to present an adaptive and intelligent mechanism that can handle SQL injection attacks. This proposal focuses on integrating a case-based reasoning (CBR) mechanism with a neural network. The proposed solution thus adapts to changes in attack patterns and provides the ability to detect attacks independently of their evolution. A prototype of the architecture was developed and the results obtained are presented in this study.The purpose of this article is to present an adaptive and intelligent mechanism that can handle SQL injection attacks. This proposal focuses on integrating a case-based reasoning (CBR) mechanism with a neural network. The proposed solution thus adapts to changes in attack patterns and provides the ability to detect attacks independently of their evolution. A prototype of the architecture was developed and the results obtained are presented in this study.2018-06-11T19:01:23Z2018-06-11T19:01:23Z2018-06-11T19:01:23Z2018-06-11T19:01:23Z2015-07-012015-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://ridda2.utp.ac.pa/handle/123456789/4893http://ridda2.utp.ac.pa/handle/123456789/4893engenghttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/48932021-07-06T15:35:07Z
dc.title.none.fl_str_mv An Adaptive Mechanism to Protect Databases against SQL Injection
title An Adaptive Mechanism to Protect Databases against SQL Injection
spellingShingle An Adaptive Mechanism to Protect Databases against SQL Injection
Pinzón Trejos, Cristian
SQL Injection
database security
case-based reasoning
neural network
SQL Injection
database security
case-based reasoning
neural network
title_short An Adaptive Mechanism to Protect Databases against SQL Injection
title_full An Adaptive Mechanism to Protect Databases against SQL Injection
title_fullStr An Adaptive Mechanism to Protect Databases against SQL Injection
title_full_unstemmed An Adaptive Mechanism to Protect Databases against SQL Injection
title_sort An Adaptive Mechanism to Protect Databases against SQL Injection
dc.creator.none.fl_str_mv Pinzón Trejos, Cristian
De Paz, Juan
Bajo, Javier
Corchado, Juan
author Pinzón Trejos, Cristian
author_facet Pinzón Trejos, Cristian
De Paz, Juan
Bajo, Javier
Corchado, Juan
author_role author
author2 De Paz, Juan
Bajo, Javier
Corchado, Juan
author2_role author
author
author
dc.subject.none.fl_str_mv SQL Injection
database security
case-based reasoning
neural network
SQL Injection
database security
case-based reasoning
neural network
topic SQL Injection
database security
case-based reasoning
neural network
SQL Injection
database security
case-based reasoning
neural network
description The purpose of this article is to present an adaptive and intelligent mechanism that can handle SQL injection attacks. This proposal focuses on integrating a case-based reasoning (CBR) mechanism with a neural network. The proposed solution thus adapts to changes in attack patterns and provides the ability to detect attacks independently of their evolution. A prototype of the architecture was developed and the results obtained are presented in this study.
publishDate 2015
dc.date.none.fl_str_mv 2015-07-01
2015-07-01
2018-06-11T19:01:23Z
2018-06-11T19:01:23Z
2018-06-11T19:01:23Z
2018-06-11T19:01:23Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://ridda2.utp.ac.pa/handle/123456789/4893
http://ridda2.utp.ac.pa/handle/123456789/4893
url http://ridda2.utp.ac.pa/handle/123456789/4893
dc.language.none.fl_str_mv eng
eng
language eng
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
instname_str Universidad Tecnológica de Panamá
instacron_str U Tecnológica de Panamá
institution U Tecnológica de Panamá
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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