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dc.contributor.authorde Vicente Mohino, José Javier (1)
dc.contributor.authorBermejo-Higuera, Javier
dc.contributor.authorBermejo Higuera, Juan Ramón
dc.contributor.authorSicilia, Juan Antonio (1)
dc.contributor.authorSánchez Rubio, Manuel (1)
dc.contributor.authorMartínez Herraiz, José-Javier
dc.date2021
dc.date.accessioned2021-06-24T07:50:28Z
dc.date.available2021-06-24T07:50:28Z
dc.identifier.issn1546-2218
dc.identifier.urihttps://reunir.unir.net/handle/123456789/11516
dc.description.abstractIn a computer environment, an operating systemis prone to malware, and even the Linux operating system is not an exception. In recent years, malware has evolved, and attackers have becomemore qualified compared to a fewyears ago. Furthermore, Linux-based systems have become more attractive to cybercriminals because of the increasing use of the Linux operating system in web servers and Internet of Things (IoT) devices. Windows is the most employed OS, somost of the research efforts have been focused on itsmalware protection rather than on other operating systems. As a result, hundreds of research articles, documents, and methodologies dedicated to malware analysis have been reported. However, there has not been much literature concerning Linux security and protection from malware. To address all these new challenges, it is necessary to develop a methodology that can standardize the required steps to perform the malware analysis in depth. A systematic analysis process makes the difference between good and ordinary malware analyses. Additionally, a deep malware comprehension can yield a faster and much more efficient malware eradication. In order to address all mentioned challenges, this article proposed a methodology for malware analysis in the Linux operating system, which is a traditionally overlooked field compared to the other operating systems. The proposed methodology is tested by a specific Linux malware, and the obtained test results have high effectiveness in malware detection.es_ES
dc.language.isoenges_ES
dc.publisherComputers, materials and continuaes_ES
dc.relation.ispartofseries;vol. 67, nº 2
dc.relation.urihttps://www.techscience.com/cmc/v67n2/41332es_ES
dc.rightsopenAccesses_ES
dc.subjectmalware analysises_ES
dc.subjectmethodology analysises_ES
dc.subjectlinux malwarees_ES
dc.subjectIoT malwarees_ES
dc.subjectScopuses_ES
dc.subjectWOS(2)es_ES
dc.titleMMALE a methodology for malware analysis in linux environmentses_ES
dc.typeArticulo Revista Indexadaes_ES
reunir.tag~ARIes_ES
dc.identifier.doihttps://doi.org/10.32604/cmc.2021.014596


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