摘要
针对基于网络支付的电子商务环境中洗钱行为研究识别方法和监管措施.总结电子商务可疑交易行为的一般规律和特点;在此基础上构造洗钱-反洗钱模型,提出对此类洗钱行为进行识别的方法;根据模型进行计算机仿真,表明延缓洗钱者进入速度、增强识别算法筛选区间扩展性、提高监管者对舆论压力的敏感程度、加大对洗钱犯罪的处罚力度和反洗钱判决能力会对反洗钱监管效果产生积极影响.
This paper focuses on the detection methods and supervision measures for the money laundering taking advantage of e-commerce based on third party online payment. In this paper, based on the analysis of suspicious trading behaviors by e-commerce websites and third party online payment, we build up a multi-agent money laundering and anti-money laundering model and then conduct computer simulation on it. According to the simulation results, velocity of entry of money launders, the length of filter intervals, the sensitivity of the regulatory authority to public opinions, severity of punishments on money laundering and the investigation ability of the regulatory authority have impact on the efficiency of regulation on money laundering.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2008年第12期60-69,共10页
Systems Engineering-Theory & Practice
基金
国家自然科学基金(70403012)
上海高校优秀青年教师后备人选科研项目
关键词
电子商务
网络支付
反洗钱
金融监管
e-commerce
online payment
anti-money laundering
financial supervision
