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A Solution CBR Agent-Based to Classify SOAP Message within SOA Environments: Profile on PlumX
Title: A Solution CBR Agent-Based to Classify SOAP Message within SOA Environments
Authors: Pinzón, Cristian
Pérez Lancho, Belén
González Arrieta, Angélica
Luis Reboredo, Ana de
Román Gallego, Jesús Ángel
Keywords: Computer Science
Issue Date: 2009
Publisher: Springer Science + Business Media
Citation: Hybrid Artificial Intelligence Systems. 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings. Lecture Notes in Computer Science. Volumen 5572, pp. 492-499.
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.    
ISBN: 978-3-642-02318-7(Print) / 978-3-642-02319-4(Online)
ISSN: 0302-9743(Print) / 1611-3349(Online)
Appears in Collections:BISITE. Congresos

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