Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Keywords |
|---|---|---|
2009 | JISBD | sql injection |
Field | DocType | Citations |
Architecture,Attack patterns,Computer science,Database security,Case-based reasoning,Artificial neural network,SQL injection,Database | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristian Pinzón | 1 | 99 | 11.80 |
| Juan Francisco de Paz | 2 | 395 | 52.24 |
| Javier Bajo | 3 | 1451 | 118.96 |
| Juan M. Corchado | 4 | 2899 | 239.10 |