DocumentCode
3508088
Title
Study on Anti-Money Laundering Service System of Online Payment Based on Union-Bank Mode
Author
Yang Qifeng ; Feng Bin ; Song Ping
Author_Institution
Econ. Coll., Wuhan Univ. of Technol., Wuhan
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
4991
Lastpage
4994
Abstract
Online payment becomes a convenient way to launder money with the development of e-commerce. In order to solve this problem, we constructed an anti-money laundering system as a service function of union-bank centre. This system can monitor and analyze the transaction data dynamically, and provide auxiliary judgment and the decision support for anti-money laundering. It utilized many technologies synthetically, such as multi-agent neural network, text mining, genetic algorithms, velocity analysis and case-based reasoning technologies to find out the hidden money laundering behavior. The logical frame of this system was proposed and some of the key technologies were introduced. Finally, we discussed the practicability and the development of this system and the union-bank online payment mode. In our opinion, this mode will become the lead online payment mode and its anti-money laundering service system will perform a very useful role.
Keywords
bank data processing; case-based reasoning; data mining; electronic money; fraud; genetic algorithms; multi-agent systems; neural nets; text analysis; antimoney laundering service system; case-based reasoning; decision support; e-commerce; genetic algorithm; multiagent neural network; online payment; text mining; transaction data; union-bank centre; velocity analysis; Art; Costs; Data analysis; Educational institutions; Government; Law; Legal factors; Marketing and sales; Monitoring; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.1223
Filename
4340998
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