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dc.contributor.authorSureda Riera, Tomás
dc.contributor.authorBermejo Higuera, Juan Ramón (1)
dc.contributor.authorBermejo-Higuera, Javier (1)
dc.contributor.authorMartínez Herraiz, José-Javier
dc.contributor.authorSicilia, Juan Antonio (1)
dc.date2020-06-01
dc.date.accessioned2020-09-15T07:33:28Z
dc.date.available2020-09-15T07:33:28Z
dc.identifier.issn20711050
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10564
dc.description.abstractNumerous techniques have been developed in order to prevent attacks on web servers. Anomaly detection techniques are based on models of normal user and application behavior, interpreting deviations from the established pattern as indications of malicious activity. In this work, a systematic review of the use of anomaly detection techniques in the prevention and detection of web attacks is undertaken; in particular, we used the standardized method of a systematic review of literature in the field of computer science, proposed by Kitchenham. This method is applied to a set of 88 papers extracted from a total of 8041 reviewed papers, which have been published in notable journals. This paper discusses the process carried out in this systematic review, as well as the results and findings obtained to identify the current state of the art of web anomaly detection.es_ES
dc.language.isoenges_ES
dc.publisherSustainability (Switzerland)es_ES
dc.relation.ispartofseries;vol. 12, nº 12
dc.relation.urihttps://www.mdpi.com/2071-1050/12/12/4945es_ES
dc.rightsopenAccesses_ES
dc.subjectanomaly detectiones_ES
dc.subjectweb attackses_ES
dc.subjectsystematic reviewes_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titlePrevention and fighting against web attacks through anomaly detection technology. A systematic reviewes_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.3390/su12124945


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