2026-06-02T06:37:31Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/38582022-04-29T12:02:47Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848

Herrero Cosío, Álvaro Navarro, Marti Corchado, Emilio 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 info:eu-repo/semantics/openAccess 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