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Classification Agent-Based Techniques for Detecting Intrusions in Databases: Profile on PlumX
Title: Classification Agent-Based Techniques for Detecting Intrusions in Databases
Authors: Pinzón, Cristian
de Paz Santana, Yanira
Cano, Rosa
Keywords: Computer Science
Issue Date: 2008
Publisher: Springer Science + Business Media
Citation: Hybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5271, pp. 46-53.
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.
ISBN: 978-3-540-87655-7 (Print) / 978-3-540-87656-4 (Online)
ISSN: 0302-9743 (Print) / 1611-3349 (Online)
Appears in Collections:BISITE. Congresos

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