探索利用资讯科技侦测及预防洗黑钱活动

IF 1.3 Q3 CRIMINOLOGY & PENOLOGY Journal of Money Laundering Control Pub Date : 2023-11-30 DOI:10.1108/jmlc-08-2023-0138

Geo Finna Aprilia, Meiryani

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引用次数: 0

摘要

关于洗钱所造成的影响的程度，组织的规模和涉及的各方，本文旨在探讨用于检测洗钱的方法，特别是技术的使用。设计/方法/方法本研究是对来自Pro-Quest、Emerald、Science Direct和Google Scholar的各种研究来源的文献综述。研究人员发现，检测洗钱最广泛使用的方法是人工智能、机器学习、数据挖掘和社交网络分析。研究的局限性/意义本研究有望帮助政府或警察、法务会计师和调查审计员等机构打击洗钱活动。本研究仅局限于少数来源，希望进一步的研究能够更深入地探讨与其他洗钱检测方法相关的问题。原创性/价值本文讨论了广泛用于检测洗钱的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Exploring detection and prevention of money laundering with information technology

Purpose

Regarding the magnitude of the impact caused by money laundering, the size of the organization and the many parties involved, this paper aims to explore the methods used in detecting money laundering, especially the use of technology.

Design/methodology/approach

This research is a literature review from various research sources originating from Pro-Quest, Emerald, Science Direct and Google Scholar.

Findings

The researchers found that the most widely used methods for detecting money laundering were artificial intelligence, machine learning, data mining and social network analysis.

Research limitations/implications

This research is expected to help the government or institutions such as the police, forensic accountants and investigative auditors in the fight against money laundering. This research is limited to only a few sources, and it is hoped that further research can explore more deeply related to other methods for detecting money laundering.