A hybrid agent-based classification mechanism to detect denial of service attacks
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...
| Autores Principales: | Pinzón Trejos, Cristian, De Paz, Juan, Rodríguez, Sara, Bajo, Javier, Corchado, Juan |
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| Formato: | Artículo |
| Idioma: | Inglés Inglés |
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2018
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| Acceso en línea: |
http://ridda2.utp.ac.pa/handle/123456789/4786 |
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RepoUTP4786 |
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dspace |
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RepoUTP47862021-07-06T15:35:05Z A hybrid agent-based classification mechanism to detect denial of service attacks Pinzón Trejos, Cristian De Paz, Juan Rodríguez, Sara Bajo, Javier Corchado, Juan multi-agent systems case-based reasoning DoS Attack SOAP message XML security multi-agent systems case-based reasoning DoS Attack SOAP message XML security 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. 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. 2018-06-05T19:53:40Z 2018-06-05T19:53:40Z 09/03/2009 09/03/2009 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 1888-0258 http://ridda2.utp.ac.pa/handle/123456789/4786 eng eng info:eu-repo/semantics/restrictedAccess application/pdf application/pdf |
| institution |
Universidad Tecnológica de Panamá |
| collection |
Repositorio UTP – Ridda2 |
| language |
Inglés Inglés |
| topic |
multi-agent systems case-based reasoning DoS Attack SOAP message XML security multi-agent systems case-based reasoning DoS Attack SOAP message XML security |
| spellingShingle |
multi-agent systems case-based reasoning DoS Attack SOAP message XML security multi-agent systems case-based reasoning DoS Attack SOAP message XML security Pinzón Trejos, Cristian De Paz, Juan Rodríguez, Sara Bajo, Javier Corchado, Juan A hybrid agent-based classification mechanism to detect denial of service attacks |
| description |
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. |
| format |
Artículo |
| author |
Pinzón Trejos, Cristian De Paz, Juan Rodríguez, Sara Bajo, Javier Corchado, Juan |
| author_sort |
Pinzón Trejos, Cristian |
| title |
A hybrid agent-based classification mechanism to detect denial of service attacks |
| title_short |
A hybrid agent-based classification mechanism to detect denial of service attacks |
| title_full |
A hybrid agent-based classification mechanism to detect denial of service attacks |
| title_fullStr |
A hybrid agent-based classification mechanism to detect denial of service attacks |
| title_full_unstemmed |
A hybrid agent-based classification mechanism to detect denial of service attacks |
| title_sort |
hybrid agent-based classification mechanism to detect denial of service attacks |
| publishDate |
2018 |
| url |
http://ridda2.utp.ac.pa/handle/123456789/4786 |
| _version_ |
1796210029826670592 |
| score |
12.235121 |