AIDeM: Agent-Based Intrusion Detection Mechanism
The availability of services can be comprimised if a service request sent to the web services server hides some form of attack within its contents. This article presents AIDeM (An Agent-Based Intrusion Detection Mechanism), an adaptive solution for dealing with DoS attacks in Web service environment...
Autores Principales: | Pinzón Trejos, Cristian, Navarro, Martí, Bajo, Javier |
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Formato: | Artículo |
Idioma: | Inglés Inglés |
Publicado: |
2018
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Materias: | |
Acceso en línea: |
http://ridda2.utp.ac.pa/handle/123456789/4798 http://ridda2.utp.ac.pa/handle/123456789/4798 |
Sumario: |
The availability of services can be comprimised if a service request sent to the web services server hides some form of attack within its contents. This article presents AIDeM (An Agent-Based Intrusion Detection Mechanism), an adaptive solution for dealing with DoS attacks in Web service environments. The solution proposes a two phased mechanism in which each phase incorporates a special type of CBR-BDI agent that functions as a classifier. In the first phase, a case-based reasoning (CBR) engine utilizes a Naïves Bayes strategy to carry out an initial filter, and in the second phase, a CBR engine incorporates a neural network to complete the classification mechanism. AIDeM has been applied within the FUSION@ architecture to improve its current security mechanism. A prototype of the architecture was developed and applied to a case study. The results obtained are presented in this study. |
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