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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...

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Autores Principales:	Pinzón Trejos, Cristian, De Paz, Juan, Tapia, Dante, Bajo, Javier, Corchado, Juan
Formato:	Artículo
Idioma:	Inglés
Publicado:	2018
Materias:	Service-oriented architectures Multi-agent systems SecurityCase-based reasoning
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

id	RepoUTP4785
recordtype	dspace
spelling	RepoUTP47852021-07-06T15:35:05Z Improving the security level of the FUSION@ multi-agent architecture Pinzón Trejos, Cristian De Paz, Juan Tapia, Dante Bajo, Javier Corchado, Juan Service-oriented architectures Multi-agent systems SecurityCase-based reasoning Service-oriented architectures Multi-agent systems SecurityCase-based reasoning 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. 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. 2018-06-05T19:41:29Z 2018-06-05T19:41:29Z 2018-06-05T19:41:29Z 2018-06-05T19:41:29Z 06/06/2012 06/06/2012 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S0957417412001455 http://ridda2.utp.ac.pa/handle/123456789/4785 http://ridda2.utp.ac.pa/handle/123456789/4785 eng info:eu-repo/semantics/embargoedAccess application/pdf text/html
institution	Universidad Tecnológica de Panamá
collection	Repositorio UTP – Ridda2
language	Inglés
topic	Service-oriented architectures Multi-agent systems SecurityCase-based reasoning Service-oriented architectures Multi-agent systems SecurityCase-based reasoning
spellingShingle	Service-oriented architectures Multi-agent systems SecurityCase-based reasoning Service-oriented architectures Multi-agent systems SecurityCase-based reasoning Pinzón Trejos, Cristian De Paz, Juan Tapia, Dante Bajo, Javier Corchado, Juan Improving the security level of the FUSION@ multi-agent architecture
description	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.
format	Artículo
author	Pinzón Trejos, Cristian De Paz, Juan Tapia, Dante Bajo, Javier Corchado, Juan
author_sort	Pinzón Trejos, Cristian
title	Improving the security level of the FUSION@ multi-agent architecture
title_short	Improving the security level of the FUSION@ multi-agent architecture
title_full	Improving the security level of the FUSION@ multi-agent architecture
title_fullStr	Improving the security level of the FUSION@ multi-agent architecture
title_full_unstemmed	Improving the security level of the FUSION@ multi-agent architecture
title_sort	improving the security level of the fusion@ multi-agent architecture
publishDate	2018
url	https://www.sciencedirect.com/science/article/pii/S0957417412001455 http://ridda2.utp.ac.pa/handle/123456789/4785 http://ridda2.utp.ac.pa/handle/123456789/4785
_version_	1796210126711947264
score	12.232477

Improving the security level of the FUSION@ multi-agent architecture

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