An Adaptive Mechanism to Protect Databases against SQL Injection

dc.creatorPinzón Trejos, Cristian
dc.creatorDe Paz, Juan
dc.creatorBajo, Javier
dc.creatorCorchado, Juan
dc.date.accessioned2018-06-11T19:01:23Z
dc.date.accessioned2018-06-11T19:01:23Z
dc.date.available2018-06-11T19:01:23Z
dc.date.available2018-06-11T19:01:23Z
dc.date.created2018-06-11T19:01:23Z
dc.date.created2018-06-11T19:01:23Z
dc.date.issued2015-07-01
dc.date.issued2015-07-01
dc.identifierhttp://ridda2.utp.ac.pa/handle/123456789/4893
dc.identifierhttp://ridda2.utp.ac.pa/handle/123456789/4893
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.
dc.languageeng
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSQL Injection
dc.subjectdatabase security
dc.subjectcase-based reasoning
dc.subjectneural network
dc.subjectSQL Injection
dc.subjectdatabase security
dc.subjectcase-based reasoning
dc.subjectneural network
dc.titleAn Adaptive Mechanism to Protect Databases against SQL Injection
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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