RT info:eu-repo/semantics/article
T1 RT-MOVICAB-IDS: Addressing real-time intrusion detection
A1 Herrero Cosío, Álvaro
A1 Navarro, Marti
A1 Corchado, Emilio
A1 Vicente, Julián
K1 Hybrid Artificial Intelligent Systems
K1 Unsupervised learning
K1 Artificial Neural Networks
K1 Multi-Agent systems
K1 Case-based reasoning
K1 Computer network security
K1 Intrusion detection
K1 Time-bounded deliberative process
K1 Computer science
K1 Informática
AB 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
PB Elsevier
SN 0167-739X
YR 2013
FD 2013-01
LK http://hdl.handle.net/10259/3858
UL http://hdl.handle.net/10259/3858
LA eng
NO Ministerio 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)
DS Repositorio Institucional de la Universidad de Burgos
RD 25-abr-2024