Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping
<p dir="ltr">Money laundering (ML) is a critical source of extracting the money illegally from the financial system. It is linked to various types of crimes, including corruption, exploitation of a specific community, drug use, and many others. Detection of ML operations is a difficu...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2024
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| الموضوعات: | |
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إضافة وسم
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| _version_ | 1864513515945984000 |
|---|---|
| author | Habib Ullah Khan (12024579) |
| author2 | Muhammad Zain Malik (17949287) Shah Nazir (14779162) |
| author2_role | author author |
| author_facet | Habib Ullah Khan (12024579) Muhammad Zain Malik (17949287) Shah Nazir (14779162) |
| author_role | author |
| dc.creator.none.fl_str_mv | Habib Ullah Khan (12024579) Muhammad Zain Malik (17949287) Shah Nazir (14779162) |
| dc.date.none.fl_str_mv | 2024-04-22T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1080/08839514.2024.2344415 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Identifying_the_AI-based_solutions_proposed_for_restricting_Money_Laundering_in_Financial_Sectors_Systematic_Mapping/25827133 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Money laundering Financial system Corruption Exploitation Drug use Financial transactions |
| dc.title.none.fl_str_mv | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Money laundering (ML) is a critical source of extracting the money illegally from the financial system. It is linked to various types of crimes, including corruption, exploitation of a specific community, drug use, and many others. Detection of ML operations is a difficult task on a global scale due to the large volume of financial transactions. However, it also allows criminals to use financial systems to carry out fraudulent transactions. It mainly concern minimizing the potentially risks associated with money laundering. Anti-money laundering-(AML) tools based on AI-driven applications are now tracking transactions to overcome this challenge. A total of 112 research papers are assessed to identify the literature’s gaps and suggest new directions for the research area accordingly. The findings of this systemic literature review work will not only open new paths for the research community, but will also assist the state agencies in developing an optimal AML system to counter these major issues and provide a healthy environment for their residents. This article seeks to assess the existing situation from various angles and open up new pathways for future research directions to investigate and build high levels of authenticity and security in the financial industry using artificial intelligence (AI).</p><h2>Other Information</h2><p dir="ltr">Published in: Applied Artificial Intelligence<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/08839514.2024.2344415" target="_blank">https://dx.doi.org/10.1080/08839514.2024.2344415</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_8a1cf87027b32a1214c4a51193f3c5c8 |
| identifier_str_mv | 10.1080/08839514.2024.2344415 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25827133 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic MappingHabib Ullah Khan (12024579)Muhammad Zain Malik (17949287)Shah Nazir (14779162)Information and computing sciencesArtificial intelligenceMoney launderingFinancial systemCorruptionExploitationDrug useFinancial transactions<p dir="ltr">Money laundering (ML) is a critical source of extracting the money illegally from the financial system. It is linked to various types of crimes, including corruption, exploitation of a specific community, drug use, and many others. Detection of ML operations is a difficult task on a global scale due to the large volume of financial transactions. However, it also allows criminals to use financial systems to carry out fraudulent transactions. It mainly concern minimizing the potentially risks associated with money laundering. Anti-money laundering-(AML) tools based on AI-driven applications are now tracking transactions to overcome this challenge. A total of 112 research papers are assessed to identify the literature’s gaps and suggest new directions for the research area accordingly. The findings of this systemic literature review work will not only open new paths for the research community, but will also assist the state agencies in developing an optimal AML system to counter these major issues and provide a healthy environment for their residents. This article seeks to assess the existing situation from various angles and open up new pathways for future research directions to investigate and build high levels of authenticity and security in the financial industry using artificial intelligence (AI).</p><h2>Other Information</h2><p dir="ltr">Published in: Applied Artificial Intelligence<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/08839514.2024.2344415" target="_blank">https://dx.doi.org/10.1080/08839514.2024.2344415</a></p>2024-04-22T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1080/08839514.2024.2344415https://figshare.com/articles/journal_contribution/Identifying_the_AI-based_solutions_proposed_for_restricting_Money_Laundering_in_Financial_Sectors_Systematic_Mapping/25827133CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/258271332024-04-22T03:00:00Z |
| spellingShingle | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping Habib Ullah Khan (12024579) Information and computing sciences Artificial intelligence Money laundering Financial system Corruption Exploitation Drug use Financial transactions |
| status_str | publishedVersion |
| title | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping |
| title_full | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping |
| title_fullStr | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping |
| title_full_unstemmed | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping |
| title_short | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping |
| title_sort | Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping |
| topic | Information and computing sciences Artificial intelligence Money laundering Financial system Corruption Exploitation Drug use Financial transactions |