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

Pinzón, Cristian; Pérez Lancho, María Belén; González Arrieta, María Angélica; Luis Reboredo, Ana de; Román Gallego, Jesús Ángel

Título

dc.contributor.author	Pinzón, Cristian
dc.contributor.author	Pérez Lancho, María Belén
dc.contributor.author	González Arrieta, María Angélica
dc.contributor.author	Luis Reboredo, Ana de
dc.contributor.author	Román Gallego, Jesús Ángel
dc.date.accessioned	2017-09-06T09:15:20Z
dc.date.available	2017-09-06T09:15:20Z
dc.date.issued	2009-06
dc.identifier.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.
dc.identifier.isbn	978-3-642-02318-7(Print) / 978-3-642-02319-4(Online)
dc.identifier.issn	0302-9743(Print) / 1611-3349(Online)
dc.identifier.uri	http://dx.doi.org/10.1007/978-3-642-02319-4_59
dc.identifier.uri	http://hdl.handle.net/10366/134971
dc.description.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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	A Solution CBR Agent-Based to Classify SOAP Message within SOA Environments
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess