An Adaptive Mechanism to Protect Databases against SQL Injection

Authors: Pinzón Trejos, Cristian; De Paz, Juan; Bajo, Javier; Corchado, Juan

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.
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.

Topic: SQL Injection
database security
case-based reasoning
neural network
SQL Injection
database security
case-based reasoning
neural network