Applying Semantic Technologies to Fight Online Banking Fraud
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Brasileira de Ciências Policiais (Online) |
Texto Completo: | https://periodicos.pf.gov.br/index.php/RBCP/article/view/360 |
Resumo: | Cybercrime tackling is a major challenge for Law Enforcement Agencies (LEAs). Traditional digital forensics and investigation procedures are not coping with the sheer amount of data to analyse, which is stored in multiple devices seized from distinct, possibly-related cases. Moreover, inefficient information representation and exchange hampers evidence recovery and relationship discovery. Aiming at a better balance between human reasoning skills and computer processing capabilities, this paper discusses how semantic technologies could make cybercrime investigation more efficient. It takes the example of online banking fraud to propose an ontology aimed at mapping criminal organisations and identifying malware developers. Although still on early stage of development, it reviews concepts to extend from well-established ontologies and proposes novel abstractions that could enhance relationship discovery. Finally, it suggests inference rules based on empirical knowledge which could better address the needs of the human analyst. |
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Applying Semantic Technologies to Fight Online Banking FraudOntologyMalwareCybercrime investigationDigital evidenceCybercrime tackling is a major challenge for Law Enforcement Agencies (LEAs). Traditional digital forensics and investigation procedures are not coping with the sheer amount of data to analyse, which is stored in multiple devices seized from distinct, possibly-related cases. Moreover, inefficient information representation and exchange hampers evidence recovery and relationship discovery. Aiming at a better balance between human reasoning skills and computer processing capabilities, this paper discusses how semantic technologies could make cybercrime investigation more efficient. It takes the example of online banking fraud to propose an ontology aimed at mapping criminal organisations and identifying malware developers. Although still on early stage of development, it reviews concepts to extend from well-established ontologies and proposes novel abstractions that could enhance relationship discovery. Finally, it suggests inference rules based on empirical knowledge which could better address the needs of the human analyst. ANP Editora2016-05-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos paresPeer-reviewed articleArtículo revisado por paresArticle revu par des pairsArticolo sottoposto a revisione paritariaapplication/pdfhttps://periodicos.pf.gov.br/index.php/RBCP/article/view/36010.31412/rbcp.v7i1.360Rivista Brasiliana di Scienza di Polizia; V. 7 N. 1 (2016); 11 - 32Brazilian Journal of Police Sciences; Vol. 7 No. 1 (2016); 11 - 32Revista Brasileña de Ciencias Policiales; Vol. 7 Núm. 1 (2016); 11 - 32Revista Brasileira de Ciências Policiais; v. 7 n. 1 (2016); 11 - 32Revue Brésilienne des Sciences Policières; Vol. 7 No. 1 (2016); 11 - 322318-69172178-001310.31412/rbcp.v7i1reponame:Revista Brasileira de Ciências Policiais (Online)instname:Academia Nacional de Polícia (ANP)instacron:ANPporhttps://periodicos.pf.gov.br/index.php/RBCP/article/view/360/25410.31412/rbcp.v7i1.360.g254Carvalho, Rodrigo Alvesinfo:eu-repo/semantics/openAccess2016-05-23T11:23:02Zoai:ojs.pkp.sfu.ca:article/360Revistahttps://periodicos.pf.gov.br/index.php/RBCPPUBhttps://periodicos.pf.gov.br/index.php/RBCP/oaipublicacesp.anp@dpf.gov.br2318-69172178-0013opendoar:2016-05-23T11:23:02Revista Brasileira de Ciências Policiais (Online) - Academia Nacional de Polícia (ANP)false |
dc.title.none.fl_str_mv |
Applying Semantic Technologies to Fight Online Banking Fraud |
title |
Applying Semantic Technologies to Fight Online Banking Fraud |
spellingShingle |
Applying Semantic Technologies to Fight Online Banking Fraud Carvalho, Rodrigo Alves Ontology Malware Cybercrime investigation Digital evidence |
title_short |
Applying Semantic Technologies to Fight Online Banking Fraud |
title_full |
Applying Semantic Technologies to Fight Online Banking Fraud |
title_fullStr |
Applying Semantic Technologies to Fight Online Banking Fraud |
title_full_unstemmed |
Applying Semantic Technologies to Fight Online Banking Fraud |
title_sort |
Applying Semantic Technologies to Fight Online Banking Fraud |
author |
Carvalho, Rodrigo Alves |
author_facet |
Carvalho, Rodrigo Alves |
author_role |
author |
dc.contributor.author.fl_str_mv |
Carvalho, Rodrigo Alves |
dc.subject.por.fl_str_mv |
Ontology Malware Cybercrime investigation Digital evidence |
topic |
Ontology Malware Cybercrime investigation Digital evidence |
description |
Cybercrime tackling is a major challenge for Law Enforcement Agencies (LEAs). Traditional digital forensics and investigation procedures are not coping with the sheer amount of data to analyse, which is stored in multiple devices seized from distinct, possibly-related cases. Moreover, inefficient information representation and exchange hampers evidence recovery and relationship discovery. Aiming at a better balance between human reasoning skills and computer processing capabilities, this paper discusses how semantic technologies could make cybercrime investigation more efficient. It takes the example of online banking fraud to propose an ontology aimed at mapping criminal organisations and identifying malware developers. Although still on early stage of development, it reviews concepts to extend from well-established ontologies and proposes novel abstractions that could enhance relationship discovery. Finally, it suggests inference rules based on empirical knowledge which could better address the needs of the human analyst. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-05-23 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo avaliado pelos pares Peer-reviewed article Artículo revisado por pares Article revu par des pairs Articolo sottoposto a revisione paritaria |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.pf.gov.br/index.php/RBCP/article/view/360 10.31412/rbcp.v7i1.360 |
url |
https://periodicos.pf.gov.br/index.php/RBCP/article/view/360 |
identifier_str_mv |
10.31412/rbcp.v7i1.360 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.pf.gov.br/index.php/RBCP/article/view/360/254 10.31412/rbcp.v7i1.360.g254 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
ANP Editora |
publisher.none.fl_str_mv |
ANP Editora |
dc.source.none.fl_str_mv |
Rivista Brasiliana di Scienza di Polizia; V. 7 N. 1 (2016); 11 - 32 Brazilian Journal of Police Sciences; Vol. 7 No. 1 (2016); 11 - 32 Revista Brasileña de Ciencias Policiales; Vol. 7 Núm. 1 (2016); 11 - 32 Revista Brasileira de Ciências Policiais; v. 7 n. 1 (2016); 11 - 32 Revue Brésilienne des Sciences Policières; Vol. 7 No. 1 (2016); 11 - 32 2318-6917 2178-0013 10.31412/rbcp.v7i1 reponame:Revista Brasileira de Ciências Policiais (Online) instname:Academia Nacional de Polícia (ANP) instacron:ANP |
instname_str |
Academia Nacional de Polícia (ANP) |
instacron_str |
ANP |
institution |
ANP |
reponame_str |
Revista Brasileira de Ciências Policiais (Online) |
collection |
Revista Brasileira de Ciências Policiais (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Ciências Policiais (Online) - Academia Nacional de Polícia (ANP) |
repository.mail.fl_str_mv |
publicacesp.anp@dpf.gov.br |
_version_ |
1776751178710777856 |