| dc.contributor.author | Pinzón, Cristian | |
| dc.contributor.author | de Paz Santana, Yanira | |
| dc.contributor.author | Cano, Rosa | |
| dc.date.accessioned | 2017-09-06T09:15:40Z | |
| dc.date.available | 2017-09-06T09:15:40Z | |
| dc.date.issued | 2008-09 | |
| dc.identifier.citation | Hybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5271, pp. 46-53. | |
| dc.identifier.isbn | 978-3-540-87655-7 (Print) / 978-3-540-87656-4 (Online) | |
| dc.identifier.issn | 0302-9743 (Print) / 1611-3349 (Online) | |
| dc.identifier.uri | http://hdl.handle.net/10366/135008 | |
| dc.description.abstract | This paper presents an agent specially designed for the prevention and detection of SQL injection at the database layer of an application. The agent incorporates a Case-based reasoning mechanism whose main characteristic involves a mixture of neural networks that carry out the task of filtering attacks. The agent had been tested and the results obtained are presented in this study. | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.publisher | Springer Science + Business Media | |
| dc.subject | Computer Science | |
| dc.title | Classification Agent-Based Techniques for Detecting Intrusions in Databases | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
