A Solution CBR Agent-Based to Classify SOAP Message within SOA Environments

Authors:
Cristian Pinzón;Belén Pérez;Angélica González;Ana Luís Y;J. A. Román
Affiliations:
University of Salamanca, Salamanca, Spain 37008;University of Salamanca, Salamanca, Spain 37008;University of Salamanca, Salamanca, Spain 37008;University of Salamanca, Salamanca, Spain 37008;University of Salamanca, Salamanca, Spain 37008
Venue:
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Year:
2009

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Abstract

This paper presents the core component of a solution based on agent technology specifically adapted for the classification of SOA messages. These messages can carry out attacks that target the applications providing Web Services. An advanced mechanism of classification designed in two phases incorporates a CBR-Agent type for classifying the incoming SOAP messages as legal or malicious. Its main feature involves the use of decision trees, fuzzy logic rules and neural networks for filtering attacks.