Quantitative parameters of anti-money laundering regulation

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...

AI Fights Money Laundering

group were representatives from the FBI, Interpol, the Financial Action Task Force, and a host of other international and national financial regulators and investigators. 9/11 represented a massive failure of international controls, and clearly only radical change would prevent something similar from happening in the future. What troubled the committee and international agencies was that the wh...

B.Comp. Dissertation Analytics Systems for Anti-Money Laundering

In this paper, we introduce the implementation of a data mining system we developed to search for patterns from large sets of relational databases. In the database that we obtained from a bank, there is large amount of information of the bank " s clients and companies that the clients are related to, as well as relations among the clients and companies (the sensitive and personal information is...

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