Compartir
Título
Improving the security level of the FUSION@ multi-agent architecture
Autor(es)
Materia
Computer Science
Fecha de publicación
2012
Editor
Elsevier BV
Citación
Expert Systems with Applications. Volumen 39 (8), pp. 7536-7545. Elsevier BV.
Resumen
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.
URI
ISSN
0957-4174 (Print)
Colecciones
- BISITE. Artículos [294]
Ficheros en el ítem
Tamaño:
1.092Mb
Formato:
Adobe PDF