DocumentCode
1898617
Title
Intelligent Anti-Money Laundering System
Author
Gao, Shijia ; Xu, Dongming ; Wang, Huaiqing ; Wang, Yingfeng
Author_Institution
Sch. of Bus., Queensland Univ., Qld.
fYear
2006
fDate
21-23 June 2006
Firstpage
851
Lastpage
856
Abstract
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 solutions have been in place for some time within the financial community, they cannot adapt to the ever-changing risk and methods in relation to money laundering. In order for a more adaptive, intelligent and flexible solution for anti-money laundering, the intelligent agent technology is applied in this research. Intelligent agents with their properties of autonomy, reactivity and proactivity are well suited for money laundering prevention controls. Several types of agents are proposed and a novel and open multi-agent architecture is presented for anti-money laundering. A prototype system for money laundering detection is also developed to demonstrate the advances of the proposed system architecture and business value
Keywords
financial management; fraud; legislation; multi-agent systems; open systems; transaction processing; financial community; illegal activities; intelligent agent technology; intelligent anti-money laundering system; money laundering detection prototype system; open multiagent-based AML system architecture; transaction processing; Drugs; Economic indicators; Government; Information systems; Intelligent agent; Intelligent systems; Maximum likelihood estimation; Pattern recognition; Prototypes; Terrorism; Anti-money laundering; Artificial intelligence application; Intelligent agents;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Operations and Logistics, and Informatics, 2006. SOLI '06. IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
1-4244-0317-0
Electronic_ISBN
1-4244-0318-9
Type
conf
DOI
10.1109/SOLI.2006.328967
Filename
4125695
Link To Document