RT-MOVICAB-IDS: Addressing real-time intrusion detection

This study presents a novel Hybrid Intelligent Intrusion Detection System (IDS) known as RT-MOVICAB-IDS 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 abortio...

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Detalles Bibliográficos
Autores: Herrero Cosío, Álvaro, Navarro, Marti, Corchado, Emilio, Vicente, Julián
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad de Burgos (UBU)
Repositorio:Repositorio Institucional de la Universidad de Burgos (RIUBU)
OAI Identifier:oai:riubu.ubu.es:10259/3858
Acceso en línea:http://hdl.handle.net/10259/3858
Access Level:acceso abierto
Palabra clave:Hybrid Artificial Intelligent Systems
Unsupervised learning
Artificial Neural Networks
Multi-Agent systems
Case-based reasoning
Computer network security
Intrusion detection
Time-bounded deliberative process
Computer science
Informática
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spelling RT-MOVICAB-IDS: Addressing real-time intrusion detectionHerrero Cosío, ÁlvaroNavarro, MartiCorchado, EmilioVicente, JuliánHybrid Artificial Intelligent SystemsUnsupervised learningArtificial Neural NetworksMulti-Agent systemsCase-based reasoningComputer network securityIntrusion detectionTime-bounded deliberative processComputer scienceInformáticaThis study presents a novel Hybrid Intelligent Intrusion Detection System (IDS) known as RT-MOVICAB-IDS 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 IDSMinisterio de Economía y Competitividad (TIN2010-21272-C02-01, TIN2009-13839-C03-01), Ministerio de Ciencia e Innovación (CIT-020000-2008-2, CIT-020000-2009-12)Elsevier201520152013info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10259/3858reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)instname:Universidad de Burgos (UBU)InglésFuture Generation Computer Systems. 2013, V. 29, n. 1, p. 250–261http://dx.doi.org/10.1016/j.future.2010.12.017info:eu-repo/grantAgreement/MINECO/TIN2010-21272-C02-01/info:eu-repo/grantAgreement/MICINN/CIT-020000-2008-2/info:eu-repo/grantAgreement/MICINN/CIT-020000-2009-12/info:eu-repo/grantAgreement/MINECO/TIN2009-13839-C03-01/info:eu-repo/grantAgreement/JCyL/BU006A08/info:eu-repo/semantics/openAccessoai:riubu.ubu.es:10259/38582026-05-28T07:56:11Z
dc.title.none.fl_str_mv RT-MOVICAB-IDS: Addressing real-time intrusion detection
title RT-MOVICAB-IDS: Addressing real-time intrusion detection
spellingShingle RT-MOVICAB-IDS: Addressing real-time intrusion detection
Herrero Cosío, Álvaro
Hybrid Artificial Intelligent Systems
Unsupervised learning
Artificial Neural Networks
Multi-Agent systems
Case-based reasoning
Computer network security
Intrusion detection
Time-bounded deliberative process
Computer science
Informática
title_short RT-MOVICAB-IDS: Addressing real-time intrusion detection
title_full RT-MOVICAB-IDS: Addressing real-time intrusion detection
title_fullStr RT-MOVICAB-IDS: Addressing real-time intrusion detection
title_full_unstemmed RT-MOVICAB-IDS: Addressing real-time intrusion detection
title_sort RT-MOVICAB-IDS: Addressing real-time intrusion detection
dc.creator.none.fl_str_mv Herrero Cosío, Álvaro
Navarro, Marti
Corchado, Emilio
Vicente, Julián
author Herrero Cosío, Álvaro
author_facet Herrero Cosío, Álvaro
Navarro, Marti
Corchado, Emilio
Vicente, Julián
author_role author
author2 Navarro, Marti
Corchado, Emilio
Vicente, Julián
author2_role author
author
author
dc.subject.none.fl_str_mv Hybrid Artificial Intelligent Systems
Unsupervised learning
Artificial Neural Networks
Multi-Agent systems
Case-based reasoning
Computer network security
Intrusion detection
Time-bounded deliberative process
Computer science
Informática
topic Hybrid Artificial Intelligent Systems
Unsupervised learning
Artificial Neural Networks
Multi-Agent systems
Case-based reasoning
Computer network security
Intrusion detection
Time-bounded deliberative process
Computer science
Informática
description This study presents a novel Hybrid Intelligent Intrusion Detection System (IDS) known as RT-MOVICAB-IDS 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
publishDate 2013
dc.date.none.fl_str_mv 2013
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10259/3858
url http://hdl.handle.net/10259/3858
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Future Generation Computer Systems. 2013, V. 29, n. 1, p. 250–261
http://dx.doi.org/10.1016/j.future.2010.12.017
info:eu-repo/grantAgreement/MINECO/TIN2010-21272-C02-01/
info:eu-repo/grantAgreement/MICINN/CIT-020000-2008-2/
info:eu-repo/grantAgreement/MICINN/CIT-020000-2009-12/
info:eu-repo/grantAgreement/MINECO/TIN2009-13839-C03-01/
info:eu-repo/grantAgreement/JCyL/BU006A08/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname:Universidad de Burgos (UBU)
instname_str Universidad de Burgos (UBU)
reponame_str Repositorio Institucional de la Universidad de Burgos (RIUBU)
collection Repositorio Institucional de la Universidad de Burgos (RIUBU)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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