Article

Research on the Risk Early Warning Model for Money Laundering Transactions in Bank Accounts

Yunfei LiTuron University, Karshi, UzbekistanDiyor JuraevTuron University, Karshi, UzbekistanMoawia AlghalithUWI, St Augustine, Trinidad and TobagoAnastasia KiritsiInternational School of Management, Berlin, Germany

IETI Transactions on Data Analysis and Forecasting (iTDAF)journal2026

ABI

Abstract

This paper focuses on the research of the risk early warning model for money laundering transactions in bank accounts, aiming to assist banking and financial institutions in combating money laundering crimes and meeting regulatory requirements. Bank accounts are a key penetration vector for criminals to conduct money laundering activities. The risk early warning model discussed in this paper can be constructed from transaction dimension, customer dimension, and multi-dimensional integration through the data layer, technology layer, and application layer so as to achieve the goal of anti-money laundering and maintain the security of the financial system.

Topics

Crime, Illicit Activities, and Governance Blockchain Technology Applications and Security Competitive and Knowledge Intelligence

Identifiers

DOI: 10.3991/itdaf.v4i1.59227

Citations and references

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