Classification Agent-Based Techniques for Detecting Intrusions in Databases

Título

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.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	Classification Agent-Based Techniques for Detecting Intrusions in Databases
dc.type	info:eu-repo/semantics/article
dc.rights.accessRights	info:eu-repo/semantics/openAccess

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