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AIDeM: Agent-Based Intrusion Detection Mechanism

  • Cristian Pinzón
  • Martí Navarro
  • Javier Bajo
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)

Abstract

The availability of services can be comprimised if a service request sent to the web services server hides some form of attack within its contents. This article presents AIDeM (An Agent-Based Intrusion Detection Mechanism), an adaptive solution for dealing with DoS attacks in Web service environments. The solution proposes a two phased mechanism in which each phase incorporates a special type of CBR-BDI agent that functions as a classifier. In the first phase, a case-based reasoning (CBR) engine utilizes a Naïves Bayes strategy to carry out an initial filter, and in the second phase, a CBR engine incorporates a neural network to complete the classification mechanism. AIDeM has been applied within the FUSION@ architecture to improve its current security mechanism. A prototype of the architecture was developed and applied to a case study. The results obtained are presented in this study.

Keywords

Availability Web Service Attack Multi-agent case-based reasoning 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Cristian Pinzón
    • 1
  • Martí Navarro
    • 2
  • Javier Bajo
    • 3
  1. 1.Universidad Tecnológica de PanamáPanama
  2. 2.Departamento de Sistemas Informáticos y ComputaciónUniversidad Polítecnica de ValenciaValenciaEspaña
  3. 3.Escuela Universitaria de InformáticaUniversidad Pontificia de SalamancaSalamancaSpain

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