DETECTING Money Laundering AND Terrorist Financing VIA DATA MINING

摘要

The terrorist attacks of Sept. 11, 2001 confirmed the importance of open source intelligence. The passage of the USA Patriot Act and the creation of the U.S. Department of Homeland Security signaled a new era in applying information technology and data mining techniques to detecting money laundering and terrorist financing. Law enforcement agencies have traditionally focused on money laundering activities facilitated through transactions in the financial service sectors. Historically, banks and other financial service institutions were the main focus of law enforcement. Intelligence agencies are generally doing an adequate job curtailing money laundering through the front door (financial institutions) but have, to date, largely ignored money laundering through the back door (abnormal international trade pricing.)