An Anti-Money Laundering Timeline and the Relentless Regulatory Response

U.S. Anti-Money Laundering Regulations: An Economic Approach to Cyberlaundering

Client Profiling for an Anti-Money Laundering System

We present a data mining approach for profiling bank clients in order to support the process of detection of antimoney laundering operations. We first present the overall system architecture, and then focus on the relevant component for this paper. We detail the experiments performed on real world data from a financial institution, which allowed us to group clients in clusters and then generate...

Knowledge-based anti-money laundering: a software agent bank application

Purpose – Criminal elements in today’s technology-driven society are using every means available at their disposal to launder the proceeds from their illegal activities. While many anti-money laundering (AML) solutions have been in place for some time within the financial community, they face the challenge to adapt to the ever-changing risk and methods in relation to money laundering (ML). This...

E-money Laundering Prevention

Although the word of “Money Laundering” isn’t very old in world literature, but attempted money laundering has a long history a long side with trade and commerce, as it always has been told. Money laundering is a process that the incomes of criminal acts enter to the economic cycle and will purify Dirty income. Therefore, we can say launderers are actually committed two offenses, primarily crim...

Money Laundering: Methods and Markets

The first stage in the process is placement. The placement stage involves the physical movement of currency or other funds derived from illegal activities to a place or into a form that is less suspicious to law enforcement authorities and more convenient to the criminal. The proceeds are introduced into traditional or nontraditional financial institutions or into the retail economy. The second...