Generation of money laundering alerts based on complex networks [Generación de alertas de lavado de activos basadas en redes complejas: Una revisión sistemática]

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dc.contributor.affiliationOrtíz, M.M., Estudiante Maestría en Modelación y Ciencia Computacional, Universidad de Medellín, Antioquia, Colombia
dc.contributor.affiliationMarín, L.M.G., Facultad de Ingenierías, Universidad de Medellín, Antioquia, Colombia
dc.contributor.affiliationVillegas, H.H.J., Facultad de Ciencias Básicas, Universidad de Medellín, Antioquia, Colombia
dc.contributor.affiliationEscobar, C.C.P., Facultad de Ciencias Básicas, Universidad de Medellín, Antioquia, Colombia
dc.contributor.affiliationMontoya, L.F.V., Grupo de Investigación Arkadius, Facultad de Ingenierías, Universidad de Medellín, Antioquia, Colombia
dc.contributor.authorOrtíz M.M
dc.contributor.authorMarín L.M.G
dc.contributor.authorVillegas H.H.J
dc.contributor.authorEscobar C.C.P
dc.contributor.authorMontoya L.F.V.
dc.date.accessioned2022-09-14T14:33:47Z
dc.date.available2022-09-14T14:33:47Z
dc.date.issued2021
dc.descriptionInternational organizations face a highly complex task: to detect money-laundering operations, which, because of their illegality, tend to remain hidden from the authorities. One of the most valuable assets is the information centralized by these control bodies such as alerts generated by financial institutions based on transactional transactions, which, because of their large volume, requires an advanced strategy to identify unusual operations that, despite efforts, remain a challenge. For this reason, a systematic review of the literature on generating money-laundering alerts based on complex networks was developed. This review found that the analysis of complex networks is ideal given its ability to identify criminal patterns in a large volume of transactional data and also presents challenges for when the network is incomplete, and the origin or destination of resources is unknown. © 2021, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.eng
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.issn16469895
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/7470
dc.language.isospa
dc.publisherAssociacao Iberica de Sistemas e Tecnologias de Informacaospa
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.facultyFacultad de Ciencias Básicasspa
dc.publisher.programIngeniería de Sistemasspa
dc.publisher.programCiencias Básicasspa
dc.relation.citationendpage265
dc.relation.citationissueE43
dc.relation.citationstartpage254
dc.relation.citationvolume2021
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85124405811&partnerID=40&md5=8bed5730123e3ee2e1687a5ce9d17a44
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dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
dc.subject.proposalComplex networkseng
dc.subject.proposalGraph theoryeng
dc.subject.proposalLiterature revieweng
dc.subject.proposalMoney launderingeng
dc.titleGeneration of money laundering alerts based on complex networks [Generación de alertas de lavado de activos basadas en redes complejas: Una revisión sistemática]
dc.typeArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
dc.type.localArtículospa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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