Improving the security level of the FUSION@ multi-agent architecture
The use of architectures based on services and multi-agent systems has become an increasingly important part of the solution set used for the development of distributed systems. Nevertheless, these models pose a variety of problems with regards to security. This article presents the Adaptive Intrusi...
| Autores Principales: | Pinzón Trejos, Cristian, De Paz, Juan, Tapia, Dante, Bajo, Javier, Corchado, Juan |
|---|---|
| Formato: | Artículo |
| Idioma: | Inglés |
| Publicado: |
2018
|
| Materias: | |
| Acceso en línea: |
https://www.sciencedirect.com/science/article/pii/S0957417412001455 http://ridda2.utp.ac.pa/handle/123456789/4785 http://ridda2.utp.ac.pa/handle/123456789/4785 |
| Sumario: |
The use of architectures based on services and multi-agent systems has become an increasingly important part of the solution set used for the development of distributed systems. Nevertheless, these models pose a variety of problems with regards to security. This article presents the Adaptive Intrusion Detection Multi-agent System (AIDeMaS), a mechanism that has been designed to detect and block malicious SOAP messages within distributed systems built by service based architectures. AIDeMaS has been implemented as part of FUSION@, a multi-agent architecture that facilitates the integration of distributed services and applications to optimize the construction of highly-dynamic multi-agent systems. One of the main features of AIDeMaS is that is employs case-based reasoning mechanisms, which provide it with great learning and adaptation capabilities that can be used for classifying SOAP messages. This research presents a case study that uses the ALZ-MAS system, a multi-agent system built around FUSION@, in order to confirm the effectiveness of AIDeMaS. The preliminary results are presented in this paper. |
|---|