An Attack Detection Mechanism Based on a Distributed Hierarchical Multi-agent Architecture for Protecting Databases
This paper presents an innovative approach to detect and classify SQL injection attacks. The existing approaches are centralized while this proposal is based on a distributed hierarchical architecture to provide a robust and dynamic strategy. The strategy for the classification and detection of SQL...
| Autores Principales: | Pinzón Trejos, Cristian, De Paz, Yanira, Cano, Rosa, Rubio, Manuel |
|---|---|
| Formato: | Artículo |
| Idioma: | Inglés Inglés |
| Publicado: |
2018
|
| Materias: | |
| Acceso en línea: |
http://ridda2.utp.ac.pa/handle/123456789/4885 http://ridda2.utp.ac.pa/handle/123456789/4885 |
| Sumario: |
This paper presents an innovative approach to detect and classify SQL injection attacks. The existing approaches are centralized while this proposal is based on a distributed hierarchical architecture to provide a robust and dynamic strategy. The strategy for the classification and detection of SQL injection attacks uses a combination based on detection by anomalies and misuses. The detection by anomaly uses a case-based reasoning mechanism incorporating a mixture of neural networks. The approach has been tested and the results are presented in this paper. |
|---|