2026-06-02T07:12:48Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/38582022-04-29T12:02:47Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848
Repositorio Institucional de la Universidad de Burgos
author
Herrero Cosío, Álvaro
author
Navarro, Marti
author
Corchado, Emilio
author
Vicente, Julián
2015-09-30T10:14:45Z
2015-09-30T10:14:45Z
2013-01
0167-739X
http://hdl.handle.net/10259/3858
10.1016/j.future.2010.12.017
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
eng
Hybrid Artificial Intelligent Systems
Unsupervised learning
Artificial Neural Networks
Multi-Agent systems
Case-based reasoning
Computer network security
Intrusion detection
Time-bounded deliberative process
RT-MOVICAB-IDS: Addressing real-time intrusion detection
info:eu-repo/semantics/article
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