%0 Journal Article
%T Research of Anti-fraud Detection Model for Advanced Payment System Information Security<br>现代支付系统信息安全的反欺诈监测模型研究
%A WU Jing-hua
%A ZHOU Qi-hai
%A LIU Jia-fen
%A <br>吴敬花
%A 周启海
%A 刘家芬
%J 计算机科学
%D 2010
%I 
%X The rapid development of computer science and communication technology, as well as informational innovalion on financial payment methods, make national Advanced Payment System(APS) more and more efficient and convenicnt, and they also bring many threats to financial information security which is very difficult to be detected. These threats will affect the informationalization course of national APS,and also influence the information security and steady development of national finance system Therefore, this paper proposed an anti fraud detection model for APS informalion security. Based on the link-mining as a new technology in computer science, this model detects the mass information of APS and finds fraud information dynamically. Through simulation on anti-fraud detection to credit card which is one of the main tools of APS, its simulating results show that the model is significant to improve the dynamic detection, accuracy and validity of credit card fraud, and also reduces the financial risk in APS.
%K Advanced payment system
%K Information security
%K Link mining
%K Anti-fraud detection model<br>现代支付系统，信息安全，链路挖掘，反欺作监测模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=7F96CD8644B9FB18006EF9FE784B4940&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=59906B3B2830C2C5&sid=228A710F49B6CE58&eid=E203FB1A272C9DD2&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0