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dc.contributor.authorPinzón Trejos, Cristian
dc.contributor.authorDe Paz, Juan
dc.contributor.authorTapia, Dante
dc.contributor.authorBajo, Javier
dc.contributor.authorCorchado, Juan
dc.date.accessioned2018-06-05T19:41:29Z
dc.date.accessioned2018-06-05T19:41:29Z
dc.date.available2018-06-05T19:41:29Z
dc.date.available2018-06-05T19:41:29Z
dc.date.issued06/06/2012
dc.date.issued06/06/2012
dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0957417412001455
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4785
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4785
dc.descriptionThe 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.en_US
dc.description.abstractThe 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.en_US
dc.formatapplication/pdf
dc.formattext/html
dc.languageeng
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectService-oriented architecturesen_US
dc.subjectMulti-agent systemsen_US
dc.subjectSecurityCase-based reasoningen_US
dc.subjectService-oriented architectures
dc.subjectMulti-agent systems
dc.subjectSecurityCase-based reasoning
dc.titleImproving the security level of the FUSION@ multi-agent architectureen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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