International Journal of Marketing & Financial Management

APPLICATION OF DIGITAL BANKING IN PREVENTING MONEY LAUNDERING ACTIVITIES

Md Motachcher Hossen, Saikat Dutta, Umme Salma, Kripa Nath Dey, Palash Saha, Md. Tanjil Biswas, Md. Halimuzzaman

1Department of International Trade and Economics, Yibin University, Sichuan, China.

2Risk Management Division, BRAC Bank PLC, Dhaka, Bangladesh.

3General Banking, Al Arafah Islami Bank, PLC, Chattogram, Bangladesh.

4Anti Money Laundering Division, BRAC Bank PLC, Dhaka, Bangladesh.

5Division of Operation, The Premier Bank PLC, Mymensingh, Bangladesh.

6Department of Corporate Taxation and Compliance, MGH Group, Dhaka, Bangladesh.

7School of Business, Galgotias University, Delhi, India. ORCID: 0009-0001-5253-7112

DOI : https://doi.org/10.53882/IJMFM.2024.1202001 Page No : 01-16

Published Online : 2024-12-30

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Article History

Revised on: 26-Oct-2024 Accepted on: 29-Nov-2024 First Published: 30-Dec-2024

Cite this Article as

Hossen M.M, et. al (2024), “Application of Digital Banking In Preventing Money Laundering Activities”, International Journal of Marketing & Financial Management, Volume12, Issue2,

2024, pp 01-16. DOI :

https://doi.org/10.53882/IJMFM.2024.1202001

ABSTRACT

Money laundering remains a significant challenge to the integrity and stability of the global financial system, requiring robust mechanisms to detect and prevent illicit activities. This study examines the role of digital banking in combating money laundering, focusing on the application of advanced technologies such as artificial intelligence (AI), machine learning (ML), block chain, and big data analytics. Through a mixed-methods approach, involving a survey of 300 banking professionals, compliance officers, and technology experts, the research highlights the effectiveness of digital banking platforms in enhancing transaction monitoring, customer verification, and compliance with anti-money laundering (AML) regulations. Key findings indicate that while digital banking significantly strengthens AML efforts, challenges such as high implementation costs, regulatory disparities, and evolving criminal tactics persist. The study emphasizes the importance of global regulatory harmonization, workforce development, and public-private partnerships to address these challenges and fully harness the potential of digital banking in combating money laundering. The research offers actionable recommendations to enhance AML frameworks and foster a secure financial ecosystem in the digital age.

Keywords: Digital Banking, Anti-Money Laundering (AML), Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, Money Laundering Prevention.

REFERENCES

Agorbia-Atta, et. al (2024). Enhancing anti-money laundering capabilities: The Strategic Use of AI and Cloud Technologies in Financial Crime Prevention. World Journal of Advanced Research and Reviews, 23(2), 2035–2047. DOI: http://dx.doi.org/10.30574/wjarr.2024.23.2.2508
Akartuna, E. A., et. al (2022). Preventing the money laundering and terrorist financing risks of emerging technologies: An international policy Delphi study. Technological Forecasting and Social Change, 179, 121632. DOI: https://doi.org/10.1016/j.techfore.2022.121632
Alomari, K. A. K. (2020). Linking between E-government and money laundering: The mediating role of compliance unit. International Journal of Academic Research in Business & Social Sciences, 10(2), 179–194. DOI: http://dx.doi.org/10.6007/IJARBSS/v10-i2/6919
Chi-Cheng, Y., et. al (2022). The Proposed PDCA Model to Counter Money Laundering. Procedia Computer Science, 207, 2454–2463. DOI: https://doi.org/10.1016/j.procs.2022.09.303
Datta, R.,et. al (2024). A Comparative Analysis of Safety Performance in Commercial and Residential Construction: Unraveling Critical Insights. Journal of Control & Instrumentation, 15(01), 1–10. Retrieved From: https://www.researchgate.net/publication/384039310_A_Comparative_Analysis_of_Safety_Performance_in_Commercial_and_Residential_Construction_Unraveling_Critical_Insights
Demetis, D. S. (2018). Fighting money laundering with technology: A case study of Bank X in the UK. Decision Support Systems, 105, 96–107. DOI: https://doi.org/10.1016/j.dss.2017.11.005
Faccia, A., et. al (2020). Electronic money laundering, the dark side of fintech: An overview of the most recent cases. Proceedings of the 2020 12th International Conference on Information Management and Engineering, 29–34. DOI: http://dx.doi.org/10.1145/3430279.3430284
Geceviciene, K., et. al (2024). Impact of Fintech Sector Development On Money Laundering Prevention. Economic & Managerial Spectrum/Ekonomicko-Manažérske Spektrum, 18(1). Retrieved From: https://ems.uniza.sk/wp-content/uploads/EMS_1_2024_05_Geceviciene_etal.pdf
Halimuzzaman, et. al (2024). Public Relation and Educational Outcomes of Films in Bangladesh: A Study on Hawa. Journal of Primeasia, 5(1), 1–7. DOI: https://doi.org/10.25163/primeasia.519834
Hassan, K., et. al (2022). Spirituality in Hospitality Services: An Assessment of Halal Tourism Practices. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130035
Hassan, S., et. al (2022). A Wavelet-Based Approach to Rapidly Identify Drug-Addicted Individuals Using Voice Signal Analysis. Journal of Primeasia. Retrieved From: https://publishing.emanresearch.org/CurrentIssuePDF/EmanPublisher_26_5491primeasia-3130036.pdf
Honey, S. et. al (2024). Consumer Perception of Eco-Friendly Apparel: Insights from Bangladesh’s RMG Sector. International Journal Of Research And Innovation In Social Science (Ijriss), VIII. DOI: https://doi.org/10.47772/IJRISS
Hossain, M. et. al (2022). Policy Recommendations and Guidelines on Sustainable Tourism Development in Bangladesh–A Systematic Review. Journal of Primeasia, 3(1), 1–9. DOI: https://doi.org/10.25163/primeasia.3130034
Islam, T., et. al (2022). Toxic Leadership and Employee Misconduct of Hotel and Tourism Institution: A Frontline Perspective. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130038
Kumar, N., et. al (2022). Adoption of Anti-Money Laundering By Banks. International Journal of Early Childhood Special Education, 14(3). DOI: http://dx.doi.org/10.9756/INT-JECSE/V14I3.1238
Kurniawan, V. (2023). The Role of Regulatory Technology & Bankers to Prevent Money Laundering in Bank. JBMP (Jurnal Bisnis, Manajemen Dan Perbankan), 9(1), 43–52. DOI: http://dx.doi.org/10.21070/jbmp.v9i1.1660
Maweu, P., et. al (2024). Assessment of Anti-Money Laundering Practices on Financial Crime Prevention Among Commercial Banks in Kenya. DOI: https://doi.org/10.51505/IJEBMR.2024.8821
Meiryani, M., et. al (2023). Effectiveness of regulatory technology implementation in Indonesian banking sector to prevent money laundering and terrorist financing. Journal of Money Laundering Control, 26(4), 892–908. Retrieved From: https://www.emerald.com/insight/content/doi/10.1108/jmlc-04-2022-0059/full/html
Mugarura, N. et. al (2021). Intricacies of anti-money laundering and cyber-crimes regulation in a fluid global system. Journal of Money Laundering Control, 24(1), 10–28. DOI: http://dx.doi.org/10.1108/JMLC-11-2019-0092
Ningtias, A. D., et. al (2023). Enforcement of the Crime of Money Laundering in Digital Financial Transactions. Jurnal Independent, 11(2), 575–585. DOI: https://doi.org/10.30736/ji.v11i2.265
Obe, R. G. A.et. al (2022). Strategy to Suppress Corruption and Money Laundering in the Digital Age. Journal of Digital Law and Policy, 2(1), 41–52. DOI: https://doi.org/10.58982/jdlp.v2i1.302
Pratomo, W. B., et. al (2023). Money Laundering With Financial Technology. Journal of Economics and Business UBS, 12(5), 3132–3141. Retrieved From: file:///C:/Users/arseam/Downloads/614-Article%20Text-3817-1-10-20231026.pdf
Rasheed, S., et. al (2022). The Kamranga Mosque: Architectural Synthesis and Heritage Significance in Colonial Dhaka-Review. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130037
Sahu, M. K. (2020). Machine Learning for Anti-Money Laundering (AML) in Banking: Advanced Techniques, Models, and Real-World Case Studies. Journal of Science & Technology, 1(1), 384–424. DOI: https://thesciencebrigade.com/jst/article/view/352
Segovia-Vargas, et. al (2024). Money Laundering in the Age of Cybercrime and Emerging Technologies. DOI: https://doi.org/10.5772/intechopen.1004006
Sharif, M. R. (2023). Digital Bill: A Strategy to Reduce Money Laundering Risks and Tackle the Limitations Associated with Digital Currencies. International Journal of Crypto currency Research, 3(1), 40–57. Retrieved From: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4593959
Sobh, T. S. (2020). An intelligent and secure framework for anti-money laundering. Journal of Applied Security Research, 15(4), 517–546. DOI: https://doi.org/10.1080/19361610.2020.1812994
Sobreira Leite, et. al (2019). Application of technological solutions in the fight against money laundering—a systematic literature review. Applied Sciences, 9(22), 4800. DOI: http://dx.doi.org/10.3390/app9224800
Thommandru, A. (2023). Smurfing in Electronic Banking: A Legal Investigation of the Potential for Transnational Money Laundering. International Journal of Legal Information, 51(1), 69–76. Retrieved From: https://www.cambridge.org/core/journals/international-journal-of-legal-information/article/abs/smurfing-in-electronic-banking-a-legal-investigation-of-the-potential-for-transnational-money-laundering/D7E79D3FBB59E9E0DD7880FDE961C482
Thommandru, A., & Chakka, B. (2023). Recalibrating the banking sector with block chain technology for effective anti-money laundering compliances by banks. Sustainable Futures, 5, 100107. DOI: https://doi.org/10.1016/j.sftr.2023.100107
Turki, M., et. al (2020). The regulatory technology “RegTech” and money laundering prevention in Islamic and conventional banking industry. Heliyon, 6(10). DOI: https://doi.org/10.1016/j.heliyon.2020.e04949
Utami, A. M. et. al (2022). Solutions to money laundering prevention through Regulatory Technology (RegTech): Evidence from Islamic and conventional banks. Jurnal Ekonomi & Keuangan Islam, 17–31. DOI: http://dx.doi.org/10.20885/jeki.vol8.iss1.art2
Utkina, M. (2023). Digital Identification and Financial Monitoring: New Technologies in the Fight against Crime. Scientific Journal of Polonia University, 58(3), 303–308. DOI: https://doi.org/10.23856/5842
Zhang, W., & Chen, L. (2024). Real-Time Transaction Monitoring Using AI: Detecting Suspicious Activities and Money Laundering in Banking. Asian American Research Letters Journal, 1(3). Retrieved From: https://www.aarlj.com/index.php/AARLJ/article/view/3

Cite this Article as

Hossen M.M, et. al (2024), “Application of Digital Banking In Preventing Money Laundering Activities”, International Journal of Marketing & Financial Management, Volume12, Issue2,

2024, pp - 01-16. DOI : https://doi.org/10.53882/IJMFM.2024.1202001

Article View: 31
PDF Download: 15

REFERENCES

Agorbia-Atta, et. al (2024). Enhancing anti-money laundering capabilities: The Strategic Use of AI and Cloud Technologies in Financial Crime Prevention. World Journal of Advanced Research and Reviews, 23(2), 2035–2047. DOI: http://dx.doi.org/10.30574/wjarr.2024.23.2.2508
Akartuna, E. A., et. al (2022). Preventing the money laundering and terrorist financing risks of emerging technologies: An international policy Delphi study. Technological Forecasting and Social Change, 179, 121632. DOI: https://doi.org/10.1016/j.techfore.2022.121632
Alomari, K. A. K. (2020). Linking between E-government and money laundering: The mediating role of compliance unit. International Journal of Academic Research in Business & Social Sciences, 10(2), 179–194. DOI: http://dx.doi.org/10.6007/IJARBSS/v10-i2/6919
Chi-Cheng, Y., et. al (2022). The Proposed PDCA Model to Counter Money Laundering. Procedia Computer Science, 207, 2454–2463. DOI: https://doi.org/10.1016/j.procs.2022.09.303
Datta, R.,et. al (2024). A Comparative Analysis of Safety Performance in Commercial and Residential Construction: Unraveling Critical Insights. Journal of Control & Instrumentation, 15(01), 1–10. Retrieved From: https://www.researchgate.net/publication/384039310_A_Comparative_Analysis_of_Safety_Performance_in_Commercial_and_Residential_Construction_Unraveling_Critical_Insights
Demetis, D. S. (2018). Fighting money laundering with technology: A case study of Bank X in the UK. Decision Support Systems, 105, 96–107. DOI: https://doi.org/10.1016/j.dss.2017.11.005
Faccia, A., et. al (2020). Electronic money laundering, the dark side of fintech: An overview of the most recent cases. Proceedings of the 2020 12th International Conference on Information Management and Engineering, 29–34. DOI: http://dx.doi.org/10.1145/3430279.3430284
Geceviciene, K., et. al (2024). Impact of Fintech Sector Development On Money Laundering Prevention. Economic & Managerial Spectrum/Ekonomicko-Manažérske Spektrum, 18(1). Retrieved From: https://ems.uniza.sk/wp-content/uploads/EMS_1_2024_05_Geceviciene_etal.pdf
Halimuzzaman, et. al (2024). Public Relation and Educational Outcomes of Films in Bangladesh: A Study on Hawa. Journal of Primeasia, 5(1), 1–7. DOI: https://doi.org/10.25163/primeasia.519834
Hassan, K., et. al (2022). Spirituality in Hospitality Services: An Assessment of Halal Tourism Practices. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130035
Hassan, S., et. al (2022). A Wavelet-Based Approach to Rapidly Identify Drug-Addicted Individuals Using Voice Signal Analysis. Journal of Primeasia. Retrieved From: https://publishing.emanresearch.org/CurrentIssuePDF/EmanPublisher_26_5491primeasia-3130036.pdf
Honey, S. et. al (2024). Consumer Perception of Eco-Friendly Apparel: Insights from Bangladesh’s RMG Sector. International Journal Of Research And Innovation In Social Science (Ijriss), VIII. DOI: https://doi.org/10.47772/IJRISS
Hossain, M. et. al (2022). Policy Recommendations and Guidelines on Sustainable Tourism Development in Bangladesh–A Systematic Review. Journal of Primeasia, 3(1), 1–9. DOI: https://doi.org/10.25163/primeasia.3130034
Islam, T., et. al (2022). Toxic Leadership and Employee Misconduct of Hotel and Tourism Institution: A Frontline Perspective. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130038
Kumar, N., et. al (2022). Adoption of Anti-Money Laundering By Banks. International Journal of Early Childhood Special Education, 14(3). DOI: http://dx.doi.org/10.9756/INT-JECSE/V14I3.1238
Kurniawan, V. (2023). The Role of Regulatory Technology & Bankers to Prevent Money Laundering in Bank. JBMP (Jurnal Bisnis, Manajemen Dan Perbankan), 9(1), 43–52. DOI: http://dx.doi.org/10.21070/jbmp.v9i1.1660
Maweu, P., et. al (2024). Assessment of Anti-Money Laundering Practices on Financial Crime Prevention Among Commercial Banks in Kenya. DOI: https://doi.org/10.51505/IJEBMR.2024.8821
Meiryani, M., et. al (2023). Effectiveness of regulatory technology implementation in Indonesian banking sector to prevent money laundering and terrorist financing. Journal of Money Laundering Control, 26(4), 892–908. Retrieved From: https://www.emerald.com/insight/content/doi/10.1108/jmlc-04-2022-0059/full/html
Mugarura, N. et. al (2021). Intricacies of anti-money laundering and cyber-crimes regulation in a fluid global system. Journal of Money Laundering Control, 24(1), 10–28. DOI: http://dx.doi.org/10.1108/JMLC-11-2019-0092
Ningtias, A. D., et. al (2023). Enforcement of the Crime of Money Laundering in Digital Financial Transactions. Jurnal Independent, 11(2), 575–585. DOI: https://doi.org/10.30736/ji.v11i2.265
Obe, R. G. A.et. al (2022). Strategy to Suppress Corruption and Money Laundering in the Digital Age. Journal of Digital Law and Policy, 2(1), 41–52. DOI: https://doi.org/10.58982/jdlp.v2i1.302
Pratomo, W. B., et. al (2023). Money Laundering With Financial Technology. Journal of Economics and Business UBS, 12(5), 3132–3141. Retrieved From: file:///C:/Users/arseam/Downloads/614-Article%20Text-3817-1-10-20231026.pdf
Rasheed, S., et. al (2022). The Kamranga Mosque: Architectural Synthesis and Heritage Significance in Colonial Dhaka-Review. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130037
Sahu, M. K. (2020). Machine Learning for Anti-Money Laundering (AML) in Banking: Advanced Techniques, Models, and Real-World Case Studies. Journal of Science & Technology, 1(1), 384–424. DOI: https://thesciencebrigade.com/jst/article/view/352
Segovia-Vargas, et. al (2024). Money Laundering in the Age of Cybercrime and Emerging Technologies. DOI: https://doi.org/10.5772/intechopen.1004006
Sharif, M. R. (2023). Digital Bill: A Strategy to Reduce Money Laundering Risks and Tackle the Limitations Associated with Digital Currencies. International Journal of Crypto currency Research, 3(1), 40–57. Retrieved From: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4593959
Sobh, T. S. (2020). An intelligent and secure framework for anti-money laundering. Journal of Applied Security Research, 15(4), 517–546. DOI: https://doi.org/10.1080/19361610.2020.1812994
Sobreira Leite, et. al (2019). Application of technological solutions in the fight against money laundering—a systematic literature review. Applied Sciences, 9(22), 4800. DOI: http://dx.doi.org/10.3390/app9224800
Thommandru, A. (2023). Smurfing in Electronic Banking: A Legal Investigation of the Potential for Transnational Money Laundering. International Journal of Legal Information, 51(1), 69–76. Retrieved From: https://www.cambridge.org/core/journals/international-journal-of-legal-information/article/abs/smurfing-in-electronic-banking-a-legal-investigation-of-the-potential-for-transnational-money-laundering/D7E79D3FBB59E9E0DD7880FDE961C482
Thommandru, A., & Chakka, B. (2023). Recalibrating the banking sector with block chain technology for effective anti-money laundering compliances by banks. Sustainable Futures, 5, 100107. DOI: https://doi.org/10.1016/j.sftr.2023.100107
Turki, M., et. al (2020). The regulatory technology “RegTech” and money laundering prevention in Islamic and conventional banking industry. Heliyon, 6(10). DOI: https://doi.org/10.1016/j.heliyon.2020.e04949
Utami, A. M. et. al (2022). Solutions to money laundering prevention through Regulatory Technology (RegTech): Evidence from Islamic and conventional banks. Jurnal Ekonomi & Keuangan Islam, 17–31. DOI: http://dx.doi.org/10.20885/jeki.vol8.iss1.art2
Utkina, M. (2023). Digital Identification and Financial Monitoring: New Technologies in the Fight against Crime. Scientific Journal of Polonia University, 58(3), 303–308. DOI: https://doi.org/10.23856/5842
Zhang, W., & Chen, L. (2024). Real-Time Transaction Monitoring Using AI: Detecting Suspicious Activities and Money Laundering in Banking. Asian American Research Letters Journal, 1(3). Retrieved From: https://www.aarlj.com/index.php/AARLJ/article/view/3

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APPLICATION OF DIGITAL BANKING IN PREVENTING MONEY LAUNDERING ACTIVITIES

REFERENCES

Agorbia-Atta, et. al (2024). Enhancing anti-money laundering capabilities: The Strategic Use of AI and Cloud Technologies in Financial Crime Prevention. World Journal of Advanced Research and Reviews, 23(2), 2035–2047. DOI: http://dx.doi.org/10.30574/wjarr.2024.23.2.2508

Akartuna, E. A., et. al (2022). Preventing the money laundering and terrorist financing risks of emerging technologies: An international policy Delphi study. Technological Forecasting and Social Change, 179, 121632. DOI: https://doi.org/10.1016/j.techfore.2022.121632

Alomari, K. A. K. (2020). Linking between E-government and money laundering: The mediating role of compliance unit. International Journal of Academic Research in Business & Social Sciences, 10(2), 179–194. DOI: http://dx.doi.org/10.6007/IJARBSS/v10-i2/6919

Chi-Cheng, Y., et. al (2022). The Proposed PDCA Model to Counter Money Laundering. Procedia Computer Science, 207, 2454–2463. DOI: https://doi.org/10.1016/j.procs.2022.09.303

Demetis, D. S. (2018). Fighting money laundering with technology: A case study of Bank X in the UK. Decision Support Systems, 105, 96–107. DOI: https://doi.org/10.1016/j.dss.2017.11.005

Faccia, A., et. al (2020). Electronic money laundering, the dark side of fintech: An overview of the most recent cases. Proceedings of the 2020 12th International Conference on Information Management and Engineering, 29–34. DOI: http://dx.doi.org/10.1145/3430279.3430284

Geceviciene, K., et. al (2024). Impact of Fintech Sector Development On Money Laundering Prevention. Economic & Managerial Spectrum/Ekonomicko-Manažérske Spektrum, 18(1). Retrieved From: https://ems.uniza.sk/wp-content/uploads/EMS_1_2024_05_Geceviciene_etal.pdf

Halimuzzaman, et. al (2024). Public Relation and Educational Outcomes of Films in Bangladesh: A Study on Hawa. Journal of Primeasia, 5(1), 1–7. DOI: https://doi.org/10.25163/primeasia.519834

Hassan, K., et. al (2022). Spirituality in Hospitality Services: An Assessment of Halal Tourism Practices. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130035

Hassan, S., et. al (2022). A Wavelet-Based Approach to Rapidly Identify Drug-Addicted Individuals Using Voice Signal Analysis. Journal of Primeasia. Retrieved From: https://publishing.emanresearch.org/CurrentIssuePDF/EmanPublisher_26_5491primeasia-3130036.pdf

Honey, S. et. al (2024). Consumer Perception of Eco-Friendly Apparel: Insights from Bangladesh’s RMG Sector. International Journal Of Research And Innovation In Social Science (Ijriss), VIII. DOI: https://doi.org/10.47772/IJRISS

Hossain, M. et. al (2022). Policy Recommendations and Guidelines on Sustainable Tourism Development in Bangladesh–A Systematic Review. Journal of Primeasia, 3(1), 1–9. DOI: https://doi.org/10.25163/primeasia.3130034

Islam, T., et. al (2022). Toxic Leadership and Employee Misconduct of Hotel and Tourism Institution: A Frontline Perspective. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130038

Kumar, N., et. al (2022). Adoption of Anti-Money Laundering By Banks. International Journal of Early Childhood Special Education, 14(3). DOI: http://dx.doi.org/10.9756/INT-JECSE/V14I3.1238

Kurniawan, V. (2023). The Role of Regulatory Technology & Bankers to Prevent Money Laundering in Bank. JBMP (Jurnal Bisnis, Manajemen Dan Perbankan), 9(1), 43–52. DOI: http://dx.doi.org/10.21070/jbmp.v9i1.1660

Maweu, P., et. al (2024). Assessment of Anti-Money Laundering Practices on Financial Crime Prevention Among Commercial Banks in Kenya. DOI: https://doi.org/10.51505/IJEBMR.2024.8821

Mugarura, N. et. al (2021). Intricacies of anti-money laundering and cyber-crimes regulation in a fluid global system. Journal of Money Laundering Control, 24(1), 10–28. DOI: http://dx.doi.org/10.1108/JMLC-11-2019-0092

Ningtias, A. D., et. al (2023). Enforcement of the Crime of Money Laundering in Digital Financial Transactions. Jurnal Independent, 11(2), 575–585. DOI: https://doi.org/10.30736/ji.v11i2.265

Obe, R. G. A.et. al (2022). Strategy to Suppress Corruption and Money Laundering in the Digital Age. Journal of Digital Law and Policy, 2(1), 41–52. DOI: https://doi.org/10.58982/jdlp.v2i1.302

Pratomo, W. B., et. al (2023). Money Laundering With Financial Technology. Journal of Economics and Business UBS, 12(5), 3132–3141. Retrieved From: file:///C:/Users/arseam/Downloads/614-Article%20Text-3817-1-10-20231026.pdf

Rasheed, S., et. al (2022). The Kamranga Mosque: Architectural Synthesis and Heritage Significance in Colonial Dhaka-Review. Journal of Primeasia. DOI: https://doi.org/10.25163/primeasia.3130037

Sahu, M. K. (2020). Machine Learning for Anti-Money Laundering (AML) in Banking: Advanced Techniques, Models, and Real-World Case Studies. Journal of Science & Technology, 1(1), 384–424. DOI: https://thesciencebrigade.com/jst/article/view/352

Segovia-Vargas, et. al (2024). Money Laundering in the Age of Cybercrime and Emerging Technologies. DOI: https://doi.org/10.5772/intechopen.1004006

Sharif, M. R. (2023). Digital Bill: A Strategy to Reduce Money Laundering Risks and Tackle the Limitations Associated with Digital Currencies. International Journal of Crypto currency Research, 3(1), 40–57. Retrieved From: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4593959

Sobh, T. S. (2020). An intelligent and secure framework for anti-money laundering. Journal of Applied Security Research, 15(4), 517–546. DOI: https://doi.org/10.1080/19361610.2020.1812994

Sobreira Leite, et. al (2019). Application of technological solutions in the fight against money laundering—a systematic literature review. Applied Sciences, 9(22), 4800. DOI: http://dx.doi.org/10.3390/app9224800

Thommandru, A., & Chakka, B. (2023). Recalibrating the banking sector with block chain technology for effective anti-money laundering compliances by banks. Sustainable Futures, 5, 100107. DOI: https://doi.org/10.1016/j.sftr.2023.100107

Turki, M., et. al (2020). The regulatory technology “RegTech” and money laundering prevention in Islamic and conventional banking industry. Heliyon, 6(10). DOI: https://doi.org/10.1016/j.heliyon.2020.e04949

Utami, A. M. et. al (2022). Solutions to money laundering prevention through Regulatory Technology (RegTech): Evidence from Islamic and conventional banks. Jurnal Ekonomi & Keuangan Islam, 17–31. DOI: http://dx.doi.org/10.20885/jeki.vol8.iss1.art2

Utkina, M. (2023). Digital Identification and Financial Monitoring: New Technologies in the Fight against Crime. Scientific Journal of Polonia University, 58(3), 303–308. DOI: https://doi.org/10.23856/5842

Zhang, W., & Chen, L. (2024). Real-Time Transaction Monitoring Using AI: Detecting Suspicious Activities and Money Laundering in Banking. Asian American Research Letters Journal, 1(3). Retrieved From: https://www.aarlj.com/index.php/AARLJ/article/view/3

REFERENCES

Agorbia-Atta, et. al (2024). Enhancing anti-money laundering capabilities: The Strategic Use of AI and Cloud Technologies in Financial Crime Prevention. World Journal of Advanced Research and Reviews, 23(2), 2035–2047. DOI: http://dx.doi.org/10.30574/wjarr.2024.23.2.2508

Akartuna, E. A., et. al (2022). Preventing the money laundering and terrorist financing risks of emerging technologies: An international policy Delphi study. Technological Forecasting and Social Change, 179, 121632. DOI: https://doi.org/10.1016/j.techfore.2022.121632

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