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An Adaptive Mechanism to Protect Databases Against SQL Injection: Profile on PlumX
Título : An Adaptive Mechanism to Protect Databases Against SQL Injection
Autor(es) : Pinzón, Cristian
de Paz Santana, Juan F.
Bajo Pérez, Javier
Corchado Rodríguez, Juan M.
Palabras clave : Computer Science
Fecha de publicación : 2009
Editor : Antonio Vallecillo and Goiuria Sagardui (Eds.)
Citación : XI Jornadas de Ingeniería del Software y Bases de Datos. pp. 209-214.
Resumen : 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
URI : http://www.mondragon.edu/jisbd2009/artaceptados.shtml
http://hdl.handle.net/10366/134983
ISBN : 978-84-692-4211-7
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