2024-03-28T23:39:33Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1343532024-03-13T09:52:57Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134243
Gestión del Repositorio Documental de la Universidad de Salamanca
author
Herrero Cosío, Álvaro
author
Navarro, Martí
author
Corchado Rodríguez, Emilio Santiago
author
Julián Inglada, Vicente
2017-09-05T11:01:23Z
2017-09-05T11:01:23Z
2013
Future Generation Computer Systems. Volumen 29 (1), pp. 250-261. Elsevier BV.
0167-739X (Print)
http://hdl.handle.net/10366/134353
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.
en
Attribution-NonCommercial-NoDerivs 3.0 Unported
Computer Science
RT-MOVICAB-IDS: Addressing real-time intrusion detection
info:eu-repo/semantics/article
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URL
https://gredos.usal.es/bitstream/10366/134353/1/rt-movicab-ids_addressing_real-time_intrusion_detection.pdf
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rt-movicab-ids_addressing_real-time_intrusion_detection.pdf
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text/plain
rt-movicab-ids_addressing_real-time_intrusion_detection.pdf.txt