A multiagent solution to adaptively classify SOAP message and protect against dos attack

  • Authors:
  • Cristian I. Pinzón;Juan F. De Paz;Javier Bajo;Juan M. Corchado

  • Affiliations:
  • Universidad de Salamanca, Salamanca, Spain;Universidad de Salamanca, Salamanca, Spain;Universidad de Salamanca, Salamanca, Spain;Universidad de Salamanca, Salamanca, Spain

  • Venue:
  • CAEPIA'09 Proceedings of the Current topics in artificial intelligence, and 13th conference on Spanish association for artificial intelligence
  • Year:
  • 2009

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Abstract

SOAP messages use XML code, which makes them vulnerable to denial of service (DoS) attacks and puts the availability of web services at risk. This article presents an adaptive solution for dealing with DoS attacks in web service environments. The solution proposes a distributed hierarchical multiagent architecture that implements a robust mechanism of classification based on an advanced CBR-BDI agent. The agent incorporates a case-based reasoning engine that integrate a Perceptron Multilayer neural network during the re-use phase to classify incoming SOAP messages and reject those that are considered malicious. A prototype of the architecture was developed and the results obtained are presented in this study.