Applying Semantic Technologies to Fight Online Banking Fraud

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span style="font-size: 9.000000pt; font-family: 'NimbusRomNo9L'; font-weight: 500;">Cybercrime tackling is a major challenge for...

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Autor principal: Rodrigo Alves Carvalho
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Publicado: Academia Nacional de Polícia 2016
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Acceso en línea:https://doaj.org/article/ab9dd7282bb6493ba6e5a6cc3f450411
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spelling oai:doaj.org-article:ab9dd7282bb6493ba6e5a6cc3f4504112021-12-02T17:26:14ZApplying Semantic Technologies to Fight Online Banking Fraud2178-00132318-691710.31412/rbcp.v7i1.360https://doaj.org/article/ab9dd7282bb6493ba6e5a6cc3f4504112016-05-01T00:00:00Zhttps://periodicos.pf.gov.br/index.php/RBCP/article/view/360https://doaj.org/toc/2178-0013https://doaj.org/toc/2318-6917<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span style="font-size: 9.000000pt; font-family: 'NimbusRomNo9L'; font-weight: 500;">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. </span></p></div></div></div>Rodrigo Alves CarvalhoAcademia Nacional de Políciaarticleontologymalwarecybercrime investigationdigital evidenceSocial pathology. Social and public welfare. CriminologyHV1-9960ENESFRITPTRevista Brasileira de Ciências Policiais, Vol 7, Iss 1, Pp 11-32 (2016)
institution DOAJ
collection DOAJ
language EN
ES
FR
IT
PT
topic ontology
malware
cybercrime investigation
digital evidence
Social pathology. Social and public welfare. Criminology
HV1-9960
spellingShingle ontology
malware
cybercrime investigation
digital evidence
Social pathology. Social and public welfare. Criminology
HV1-9960
Rodrigo Alves Carvalho
Applying Semantic Technologies to Fight Online Banking Fraud
description <div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span style="font-size: 9.000000pt; font-family: 'NimbusRomNo9L'; font-weight: 500;">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. </span></p></div></div></div>
format article
author Rodrigo Alves Carvalho
author_facet Rodrigo Alves Carvalho
author_sort Rodrigo Alves Carvalho
title Applying Semantic Technologies to Fight Online Banking Fraud
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
publisher Academia Nacional de Polícia
publishDate 2016
url https://doaj.org/article/ab9dd7282bb6493ba6e5a6cc3f450411
work_keys_str_mv AT rodrigoalvescarvalho applyingsemantictechnologiestofightonlinebankingfraud
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