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Improving the security level of the FUSION@ multi-agent architecture: Profile on PlumX
Title: Improving the security level of the FUSION@ multi-agent architecture
Authors: Pinzón, Cristian
de Paz Santana, Juan F.
Tapia Martínez, Dante I.
Bajo Pérez, Javier
Corchado Rodríguez, Juan M.
Keywords: Computer Science
Issue Date: 2012
Publisher: Elsevier BV
Citation: Expert Systems with Applications. Volumen 39 (8), pp. 7536-7545. Elsevier BV.
Abstract: 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.
ISSN: 0957-4174 (Print)
Appears in Collections:BISITE. Artículos de revista

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