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dc.contributor.authorBermejo-Higuera, Javier
dc.contributor.authorAbad-Aramburu, Carlos
dc.contributor.authorBermejo Higuera, Juan Ramón
dc.contributor.authorSicilia Urban, Miguel Ángel
dc.contributor.authorSicilia, Juan Antonio
dc.date2020-02
dc.date.accessioned2020-08-04T10:46:40Z
dc.date.available2020-08-04T10:46:40Z
dc.identifier.citationBermejo Higuera, J.; Abad Aramburu, C.; Bermejo Higuera, J.-R.; Sicilia Urban, M.A.; Sicilia Montalvo, J.A. Systematic Approach to Malware Analysis (SAMA). Appl. Sci. 2020, 10, 1360.es_ES
dc.identifier.issn2076-3417
dc.identifier.urihttps://reunir.unir.net/handle/123456789/10321
dc.description.abstractMalware threats pose new challenges to analytic and reverse engineering tasks. It is needed for a systematic approach to that analysis, in an attempt to fully uncover their underlying attack vectors and techniques and find commonalities between them. In this paper, a method of malware analysis is described, together with a report of its application to the case of Flame and Red October. The method has also been used bv different analysts to analyze other malware threats like 'Stuxnet', 'Dark Comet', Toison Ivy', 'Locky', 'Careto', and 'Sofacy Carberp'. The method presented in this work is a systematic and methodological process of analysis, whose main objective is the acquisition of knowledge as well as to gain a full understanding of a particular malware. Using the proposed method to analyze two well-known malware as 'Flame' and 'Red October' will help to understand the added value of the method.es_ES
dc.language.isoenges_ES
dc.publisherApplied Scienceses_ES
dc.relation.ispartofseries;vol. 10, nº 4
dc.relation.urihttps://www.mdpi.com/2076-3417/10/4/1360es_ES
dc.rightsopenAccesses_ES
dc.subjectmalware analysises_ES
dc.subjectmalware samplees_ES
dc.subjectFlamees_ES
dc.subjectRed Octoberes_ES
dc.subjectsandboxes_ES
dc.subjectbehavioral analysises_ES
dc.subjectcode analysises_ES
dc.subjectScopuses_ES
dc.subjectJCRes_ES
dc.titleSystematic Approach to Malware Analysis (SAMA)es_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.3390/app10041360


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