A hybrid agent-based classification mechanism to detect denial of service attacks
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http://hdl.handle.net/10045/12528
Título: | A hybrid agent-based classification mechanism to detect denial of service attacks |
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Autor/es: | Pinzón Trejos, Cristian Iván | Paz Santana, Juan Francisco de | Rodríguez González, Sara | Bajo Pérez, Javier | Corchado Rodríguez, Juan Manuel |
Palabras clave: | Multi-agent systems | Case-based reasoning | DoS Attack | SOAP message | XML security |
Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | sep-2009 |
Editor: | Red de Agentes Físicos |
Cita bibliográfica: | PINZÓN TREJOS, Cristian Iván, et al. “A hybrid agent-based classification mechanism to detect denial of service attacks”. Journal of Physical Agents. Vol. 3, No. 3 (Sept. 2009). ISSN 1888-0258, pp. 11-18 |
Resumen: | This 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. |
Patrocinador/es: | This development has been partially supported by the Spanish Ministry of Science project TIN2006-14630-C03-03 and The Professional Excellence Program 2006-2010 IFARHU-SENACYT-Panama. |
URI: | http://hdl.handle.net/10045/12528 | http://dx.doi.org/10.14198/JoPha.2009.3.3.03 |
ISSN: | 1888-0258 |
DOI: | 10.14198/JoPha.2009.3.3.03 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Revisión científica: | si |
Aparece en las colecciones: | Journal of Physical Agents - 2009, Vol. 3, No. 3 |
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