2026-09-14T05:56:53Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1349712025-05-28T11:51:34Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

Pinzón, Cristian Pérez Lancho, María Belén González Arrieta, María Angélica Luis Reboredo, Ana de Román Gallego, Jesús Ángel 2017-09-06T09:15:20Z 2017-09-06T09:15:20Z 2009-06 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. 978-3-642-02318-7(Print) / 978-3-642-02319-4(Online) 0302-9743(Print) / 1611-3349(Online) http://dx.doi.org/10.1007/978-3-642-02319-4_59 http://hdl.handle.net/10366/134971 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.     en https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivs 3.0 Unported Computer Science A Solution CBR Agent-Based to Classify SOAP Message within SOA Environments info:eu-repo/semantics/conferenceObject