Zur Kurzanzeige

dc.contributor.authorPinzón, Cristian
dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorZato Domínguez, Davinia Carolina 
dc.contributor.authorBajo Pérez, Javier
dc.date.accessioned2017-09-06T09:14:55Z
dc.date.available2017-09-06T09:14:55Z
dc.date.issued2010-06
dc.identifier.citationHybrid Artificial Intelligence Systems Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 6076, pp. 229-236.
dc.identifier.isbn978-3-642-13768-6 (Print) / 978-3-642-13769-3 (Online)
dc.identifier.issn0302-9743 (Print) / 1611-3349 (Online)
dc.identifier.urihttp://hdl.handle.net/10366/134927
dc.description.abstractThe real-time detection is a key factor to detect and block DoS attacks within Web services. DoS attacks can be generated for different techniques that take advantage of points vulnerable within Web services. This paper describes a novel proposal based on a real time agent to classify user requests and detect and block malicious SOAP messages. The classification mechanism is based on a Case-Base Reasoning (CBR) model, where the different CBR phases are time bounded. Within the reuse phase of the CBR cycle is incorporated a mixture of experts to choose the most suitable technique of classification depending on the feature of the attack and the available time to solve the classification. A prototype of the architecture was developed and the results obtained are presented in this study.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSpringer Science + Business Media
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleProtecting Web Services against DoS Attacks: A Case-Based Reasoning Approach
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


Dateien zu dieser Ressource

Thumbnail

Das Dokument erscheint in:

Zur Kurzanzeige

Attribution-NonCommercial-NoDerivs 3.0 Unported
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Attribution-NonCommercial-NoDerivs 3.0 Unported