2026-04-28T07:04:56Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/66352022-12-19T09:57:05Zcom_10259_3847com_10259_5086com_10259_2604col_10259_3848

Quintián, Héctor 24df8f20-cf82-40f8-a3bc-a762add5e4b4 500 Jove, Esteban 7141acd0-36d9-40b1-b113-3b6548042ede 500 Casteleiro-Roca, José-Luis 61f65533-5bcc-463c-99de-bb093f5b34d3 500 Urda Muñoz, Daniel 753 500 0000-0003-2662-798X Arroyo Puente, Ángel 741 500 0000-0002-1614-9075 Calvo-Rolle, José Luis 2fa3782f-36e0-43f7-8aa1-68eadc78465c Herrero Cosío, Álvaro 283 600 0000-0002-2444-5384 Corchado, Emilio 125 600 2022-05-04T13:38:27Z 2022-05-04T13:38:27Z 2022-12 1367-0751 http://hdl.handle.net/10259/6635 10.1093/jigpal/jzac013 1368-9894 Detecting intrusions in large networks is a highly demanding task. In order to reduce the computation demand of analysing every single packet travelling along one of such networks, some years ago flows were proposed as a way of summarizing traffic information. Very few research works have addressed intrusion detection in flows from a visualizations perspective. In order to bridge this gap, the present paper proposes the application of a novel projection method (Beta Hebbian Learning) under this framework. With the aim to validate this method, 8 traffic segments, containing many flows, have been analysed by means of this projection method. The promising results obtained for these segments, extracted from the University of Twente dataset, validate the proposed application. Funding for open access charge: Universidade da Coruña/CISUG. application/pdf eng Oxford University Press Logic Journal of the IGPL. 2022, V. 30, n. 6, p. 1056–1073 https://doi.org/10.1093/jigpal/jzac013 Atribución 4.0 Internacional http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess Intrusion detection Traffic flow Exploratory projection pursuit Visualization Artificial neural networks Unsupervised learning Informática Computer science Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Logic Journal of the IGPL THUMBNAIL Quintian-ljIGPL_2022.pdf.jpg Quintian-ljIGPL_2022.pdf.jpg IM Thumbnail image/jpeg 4631 https://riubu.ubu.es/bitstream/10259/6635/4/Quintian-ljIGPL_2022.pdf.jpg d0cf94b449ffec3e4d4bcc3b63ee7ecb MD5 4 Quintian-LjIGPL_2022.pdf.jpg Quintian-LjIGPL_2022.pdf.jpg IM Thumbnail image/jpeg 4656 https://riubu.ubu.es/bitstream/10259/6635/6/Quintian-LjIGPL_2022.pdf.jpg 78784a81058a9754bbc3be7913bd7558 MD5 6 LICENSE license.txt license.txt text/plain; charset=utf-8 1362 https://riubu.ubu.es/bitstream/10259/6635/3/license.txt 5d013bfa6e473ff0db22cd82a4d71a70 MD5 3 CC-LICENSE license_rdf license_rdf application/rdf+xml; charset=utf-8 908 https://riubu.ubu.es/bitstream/10259/6635/2/license_rdf 0175ea4a2d4caec4bbcc37e300941108 MD5 2 ORIGINAL Quintian-LjIGPL_2022.pdf Quintian-LjIGPL_2022.pdf application/pdf 4908718 https://riubu.ubu.es/bitstream/10259/6635/5/Quintian-LjIGPL_2022.pdf 20c3dced0bfedfe7b354e82cc23499c3 MD5 5 10259/6635 oai:riubu.ubu.es:10259/6635 2022-12-19 10:57:05.159 Repositorio Institucional de la Universidad de Burgos bubrep@ubu.es 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