Classification agent-based techniques for detecting intrusions in databases

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URI: http://hdl.handle.net/11268/5422
DOI: 10.1007/978-3-540-87656-4_7

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2008

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Pinzón, Cristian
Paz, Yanira de la
Cano Anguiano, Rosa

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Springer

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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.

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Bibliographic reference

Pinzón, C., De la Paz, Y., & Cano, R. (2008). Classification agent-based techniques for detecting intrusions in databases. In E. Corchado, A. Abraham & W. Pedrycz (Eds.), Third International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008) (pp. 46-53). Berlin: Springer.

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conference output

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Área de TIC y Bienestar