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dc.creatorBerrueta Irigoyen, Eduardoes_ES
dc.creatorMorató Osés, Danieles_ES
dc.creatorMagaña Lizarrondo, Eduardoes_ES
dc.creatorIzal Azcárate, Mikeles_ES
dc.date.accessioned2020-05-12T11:15:21Z
dc.date.available2020-05-12T11:15:21Z
dc.date.issued2019
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/2454/36854
dc.description.abstractCrypto-ransomware is a type of malware that encrypts user files, deletes the original data, and asks for a ransom to recover the hijacked documents. It is a cyber threat that targets both companies and residential users, and has spread in recent years because of its lucrative results. Several articles have presented classifications of ransomware families and their typical behaviour. These insights have stimulated the creation of detection techniques for antivirus and firewall software. However, because the ransomware scene evolves quickly and aggressively, these studies quickly become outdated. In this study, we surveyed the detection techniques that the research community has developed in recent years. We compared the different approaches and classified the algorithms based on the input data they obtain from ransomware actions, and the decision procedures they use to reach a classification decision between benign or malign applications. This is a detailed survey that focuses on detection algorithms, compared to most previous studies that offer a survey of ransomware families or isolated proposals of detection algorithms. We also compared the results of these proposals.en
dc.description.sponsorshipThis work was supported by the Spanish MINECO through project PIT (TEC2015-69417-C2-2-R).en
dc.format.extent20 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Access, 2019, 7, 144925-144944en
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectComputer securityen
dc.subjectMalware detectionen
dc.subjectRansomwareen
dc.titleA survey on detection techniques for cryptographic ransomwareen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Ingeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Ingeniaritza Elektriko, Elektroniko eta Telekomunikazio Sailaeu
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISC - Institute of Smart Citieses_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1109/ACCESS.2019.2945839
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/TEC2015-69417en
dc.relation.publisherversionhttps://doi.org/10.1109/ACCESS.2019.2945839
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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