Classification Agent-Based Techniques for Detecting Intrusions in Databases

  • Cristian Pinzón
  • Yanira De Paz
  • Rosa Cano
Conference paper

DOI: 10.1007/978-3-540-87656-4_7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5271)
Cite this paper as:
Pinzón C., De Paz Y., Cano R. (2008) Classification Agent-Based Techniques for Detecting Intrusions in Databases. In: Corchado E., Abraham A., Pedrycz W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science, vol 5271. Springer, Berlin, Heidelberg

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.

Keywords

SQL injection multiagent systems case-based reasoning neural networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Cristian Pinzón
    • 1
  • Yanira De Paz
    • 2
  • Rosa Cano
    • 3
  1. 1.Universidad Tecnológica de PanamáBatistaPanama
  2. 2.Universidad Europea de MadridVillaviciosa de OdónSpain
  3. 3.Instituto Tecnológico de ColimaMexico

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