Herrero, Á.; Navarro Llácer, M.; Corchado, E.; Julian Inglada, VJ. (2013). RT-MOVICAB-IDS: Addressing Real-Time Intrusion Detection. Future Generation Computer Systems. 29:250-261. https://doi.org/10.1016/j.future.2010.12.017
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35669
Title:
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RT-MOVICAB-IDS: Addressing Real-Time Intrusion Detection
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Author:
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Herrero, Álvaro
Navarro Llácer, Martín
Corchado, Emilio
Julian Inglada, Vicente Javier
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Issued date:
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Abstract:
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[EN] This study presents a novel Hybrid Intelligent Intrusion Detection System (IDS) known as RT-MOVICABIDS
that incorporates temporal control. One of its main goals is to facilitate real-time Intrusion Detection,
as ...[+]
[EN] This study presents a novel Hybrid Intelligent Intrusion Detection System (IDS) known as RT-MOVICABIDS
that incorporates temporal control. One of its main goals is to facilitate real-time Intrusion Detection,
as accurate and swift responses are crucial in this field, especially if automatic abortion mechanisms are
running. The formulation of this hybrid IDS combines Artificial Neural Networks (ANN) and Case-Based
Reasoning (CBR) within a Multi-Agent System (MAS) to detect intrusions in dynamic computer networks.
Temporal restrictions are imposed on this IDS, in order to perform real/execution time processing and
assure system response predictability. Therefore, a dynamic real-time multi-agent architecture for IDS
is proposed in this study, allowing the addition of predictable agents (both reactive and deliberative). In
particular, two of the deliberative agents deployed in this system incorporate temporal-bounded CBR.
This upgraded CBR is based on an anytime approximation, which allows the adaptation of this Artificial
Intelligence paradigm to real-time requirements. Experimental results using real data sets are presented
which validate the performance of this novel hybrid IDS.
© 2011 Elsevier B.V. All rights reserved.
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Subjects:
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Hybrid Artificial Intelligent Systems
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Unsupervised learning
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Artificial Neural Networks
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Multi-Agent systems
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Case-based reasoning
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Computer network security
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Intrusion detection
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Time-bounded deliberative process
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Copyrigths:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Source:
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Future Generation Computer Systems. (issn:
0167-739X
)
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DOI:
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10.1016/j.future.2010.12.017
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.future.2010.12.017
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Project ID:
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info:eu-repo/grantAgreement/Junta de Castilla y León//BU006A08/ES/ARQUITECTURA DISTRIBUIDA INTELIGENTE PARA LA GESTIÓN DE ENTORNOS DE DEPENDENCIA Y HOSPITALARIOS./ /
...[+]
info:eu-repo/grantAgreement/Junta de Castilla y León//BU006A08/ES/ARQUITECTURA DISTRIBUIDA INTELIGENTE PARA LA GESTIÓN DE ENTORNOS DE DEPENDENCIA Y HOSPITALARIOS./ /
info:eu-repo/grantAgreement/MICINN//TIN2010-21272-C02-01/ES/MODELO INTELIGENTE DE ANALISIS Y SIMULACION DE PROCESOS INDUSTRIALES: TOMA DE DECISIONES Y CONTROL DE PROCESOS./
info:eu-repo/grantAgreement/MICINN//CIT-020000-2008-0002/ES/Desarrollo de un sistema experto para el ajuste automático de fresadoras (QUICK)/
info:eu-repo/grantAgreement/MICINN//TIN2009-13839-C03-01/ES/Organizaciones Virtuales Adaptativas: Arquitecturas Y Metodos De Desarrollo/
info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO08%2F2008%2F051/ES/Advances on Agreement Technologies for Computational Entities (atforce)/
info:eu-repo/grantAgreement/MICINN//CIT-020000-2009-0012/ES/Desarrollo de un Sistema Inteligente Híbrido para optimizar la interacción máquina-proceso en los procesos productivos orientados al sector eólico y de transporte (FOEHN)/
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Thanks:
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This research is funded through the Junta of Castilla and León (BU006A08); the Spanish Ministry of Science and Innovation
(TIN2010-21272-C02-01), Education and Innovation (CIT-020000-2008-2 and CIT-020000-2009-12); the ...[+]
This research is funded through the Junta of Castilla and León (BU006A08); the Spanish Ministry of Science and Innovation
(TIN2010-21272-C02-01), Education and Innovation (CIT-020000-2008-2 and CIT-020000-2009-12); the Spanish government
(TIN2009-13839-C03-01), FEDER and CONSOLIDER-INGENIO (2010 CSD2007-00022) and the Generalitat Valenciana (PROMETEO/ 2008/051). The authors would also like to thank the vehicle interior manufacturer, Grupo Antolin Ingenieria S.A. for supporting the project through the MAGNO2008 – 1028.– CENIT Project funded by the Spanish Ministry of Science and Innovation.
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Type:
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Artículo
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