With the rise of digital transactions, e-Wallets have become prime targets for fraudulent activity. Early detection of suspicious transactions is therefore crucial to protect users and maintain trust in these systems....With the rise of digital transactions, e-Wallets have become prime targets for fraudulent activity. Early detection of suspicious transactions is therefore crucial to protect users and maintain trust in these systems. This article proposes a mathematical model based on a Mixed Integer Program (MIP) to identify and block suspicious transactions. This mathematical approach is designed to analyze e-Wallet transactions in real time by combining integer and continuous decision variables, offering greater flexibility in modeling fraud detection constraints. It considers parameters such as transaction cost, geographical location, type of device used for the transaction, IP address and other potential fraud indicators. Assigning suspicion scores to each transaction enables the model to identify risks that become habitual behavior and mark them as suspicious. Tests carried out on 10,000 digital transactions show that using PMNE significantly improves the detection of fraudulent transactions by identifying the most critical anomalies in terms of accuracy, adaptability and operational efficiency. The model also offers greater accuracy, reducing the number of false positives and false negatives, enabling faster intervention to block truly suspicious transactions.展开更多
The purpose of this paper is to provide an economic overview of the costs and benefits of anti-money laundering （AML） rules. After defining and explaining the three stages of money laundering, the paper provides an ...The purpose of this paper is to provide an economic overview of the costs and benefits of anti-money laundering （AML） rules. After defining and explaining the three stages of money laundering, the paper provides an insight into the volume and development of money laundering activities in the Central and Eastern Europe. It relies on international, comparative studies outlines the impact of AML measures on banks and other financial intermediaries Conditions of reporting suspicious activity and government agencies, which use these reports to identify investigation targets, are also analysed. Moreover, the paper discusses possible reasons for the failure of AML rules to fight against the crimes and collateral damage caused by AML. These figures, which are presented in this scientific research, give an indication of how important the money laundering problem and the level of organized crime are.展开更多
文摘With the rise of digital transactions, e-Wallets have become prime targets for fraudulent activity. Early detection of suspicious transactions is therefore crucial to protect users and maintain trust in these systems. This article proposes a mathematical model based on a Mixed Integer Program (MIP) to identify and block suspicious transactions. This mathematical approach is designed to analyze e-Wallet transactions in real time by combining integer and continuous decision variables, offering greater flexibility in modeling fraud detection constraints. It considers parameters such as transaction cost, geographical location, type of device used for the transaction, IP address and other potential fraud indicators. Assigning suspicion scores to each transaction enables the model to identify risks that become habitual behavior and mark them as suspicious. Tests carried out on 10,000 digital transactions show that using PMNE significantly improves the detection of fraudulent transactions by identifying the most critical anomalies in terms of accuracy, adaptability and operational efficiency. The model also offers greater accuracy, reducing the number of false positives and false negatives, enabling faster intervention to block truly suspicious transactions.
文摘The purpose of this paper is to provide an economic overview of the costs and benefits of anti-money laundering （AML） rules. After defining and explaining the three stages of money laundering, the paper provides an insight into the volume and development of money laundering activities in the Central and Eastern Europe. It relies on international, comparative studies outlines the impact of AML measures on banks and other financial intermediaries Conditions of reporting suspicious activity and government agencies, which use these reports to identify investigation targets, are also analysed. Moreover, the paper discusses possible reasons for the failure of AML rules to fight against the crimes and collateral damage caused by AML. These figures, which are presented in this scientific research, give an indication of how important the money laundering problem and the level of organized crime are.
