A multi-agent based counter terrorism system through anti-money laundering

Abstract

There has been increasing pressure for countries worldwide to have laws that govern anti-money laundering in face of rising crime posed by international terrorists. In Kenya for instance all financial institutions are supposed to report all suspicious transactions to Financial Reporting Centre. This is a central, national agency responsible for receiving, analyzing and disseminating disclosures of financial information. Money Laundering has been the main source funds for criminals and terrorist to fund their ill motifs. Over time criminals have develop sophisticated methods of ‘cleaning’ their illegally acquired funds through financial institution to conceal the original source of their funds. This project is a multi-agent system solution that seeks to cap terrorism in Kenya by reporting and stopping suspicious transactions through Anti-Money Laundering approach. Terrorism need a lot of funds to plan and execute their ill-modifies actions. Reducing the sources of funding implies reducing or stopping their power to execute their actions. The project is Multi-Agent System solution developed using C# and Bolari .NET with simulated financial data as inputs. Keywords: Terrorism, Money Laundering, Anti-Money Laundering, Agent, Multi-agent system