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dc.contributor.authorPinzón Trejos, Cristian
dc.contributor.authorDe Paz, Juan
dc.contributor.authorRodríguez, Sara
dc.contributor.authorBajo, Javier
dc.contributor.authorCorchado, Juan
dc.date.accessioned2018-06-05T19:53:40Z
dc.date.available2018-06-05T19:53:40Z
dc.date.issued09/03/2009
dc.date.issued09/03/2009
dc.identifier.issn1888-0258
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4786
dc.descriptionThis paper presents the core component of a solution based on agent technology specifically adapted for the classification of SOAP messages. The messages can carry out attacks that target the applications providing Web Services. One of the most common attacks requiring novel solutions is the denial of service attack (DoS), caused for the modifications introduced in the XML of the SOAP messages. The specifications of existing security standards do not focus on this type of attack. This article presents an advanced mechanism of classification designed in two phases incorporated within a CBR-BDI Agent type. This mechanism classifies the incoming SOAP message and blocks the malicious SOAP messages. Its main feature involves the use of decision trees, fuzzy logic rules and neural networks for filtering attacks. These techniques provide a mechanism of classification with the self-adaption ability to the changes that occur in the patterns of attack. A prototype was developed and the results obtained are presented in this study.en_US
dc.description.abstractThis paper presents the core component of a solution based on agent technology specifically adapted for the classification of SOAP messages. The messages can carry out attacks that target the applications providing Web Services. One of the most common attacks requiring novel solutions is the denial of service attack (DoS), caused for the modifications introduced in the XML of the SOAP messages. The specifications of existing security standards do not focus on this type of attack. This article presents an advanced mechanism of classification designed in two phases incorporated within a CBR-BDI Agent type. This mechanism classifies the incoming SOAP message and blocks the malicious SOAP messages. Its main feature involves the use of decision trees, fuzzy logic rules and neural networks for filtering attacks. These techniques provide a mechanism of classification with the self-adaption ability to the changes that occur in the patterns of attack. A prototype was developed and the results obtained are presented in this study.en_US
dc.formatapplication/pdf
dc.languageeng
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectmulti-agent systemsen_US
dc.subjectcase-based reasoningen_US
dc.subjectDoS Attacken_US
dc.subjectSOAP messageen_US
dc.subjectXML securityen_US
dc.subjectmulti-agent systems
dc.subjectcase-based reasoning
dc.subjectDoS Attack
dc.subjectSOAP message
dc.subjectXML security
dc.titleA hybrid agent-based classification mechanism to detect denial of service attacksen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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