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

Authors: Pinzón Trejos, Cristian; Peréz, Belén; González, Angélica; de Luís, Ana; Román, J.A.

Description: 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.
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.

Topic: SOAP message
XML security
multi-agent systems
case-based reasoning
SOAP message
XML security
multi-agent systems
case-based reasoning