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dc.contributor.authorPinzón Trejos, Cristian
dc.contributor.authorDe Paz, Juan
dc.contributor.authorBajo, Javier
dc.contributor.authorCorchado, Juan
dc.date.accessioned2018-06-11T19:01:23Z
dc.date.available2018-06-11T19:01:23Z
dc.date.issued2015-07-01
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4893
dc.descriptionThe 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.en_US
dc.description.abstractThe 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.en_US
dc.formatapplication/pdf
dc.language.isoengen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSQL Injectionen_US
dc.subjectdatabase securityen_US
dc.subjectcase-based reasoningen_US
dc.subjectneural networken_US
dc.titleAn Adaptive Mechanism to Protect Databases against SQL Injectionen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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