Money Laundering using Cryptocurrency: The Case of Bitcoin!

The New Wild West: Preventing Money Laundering in the Bitcoin Network

Money Laundering Detection using Synthetic Data

Criminals use money laundering to make the proceeds from their illegal activities look legitimate in the eyes of the rest of society. Current countermeasures taken by financial organizations are based on legal requirements and very basic statistical analysis. Machine Learning offers a number of ways to detect anomalous transactions. These methods can be based on supervised and unsupervised lear...

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...

Identifying the Suspected Cases of Money Laundering in Banking Using Multiple Attribute Decision Making (MADM)

Money laundering is among the most common financial crimes that negatively affect countries' economies and hurt their social and political relations. With the increasing growth of e-banking and the increase in electronic financial transactions, the identification of money laundering methods and behaviors has become more complex; because money launderers, by accessing the Internet and using new ...