The rapid development of information technology has led to a sustained high incidence of telecommunica-tions network fraud crimes,and has also given rise to black and gray industry chains involved in fraud and profit,especially the"two card crime"in the cash flow chain,which has become a key link in combating and rectifying telecommunications network crimes.In response to the difficulties in the governance of existing bank cards in the"two card crime",data from telecom network fraud cases involving existing bank cards in the national anti fraud platform were selected for desensitization analysis.Data mining and aggregation were carried out to identify high-risk risk characteristics of fraud involving existing bank cards.Comprehensive scoring calculation warning rules were set up,and a visual modeling platform was used to build a risk warning model to enhance the warning ability of fraud risks involving existing bank cards,providing important reference for cracking down on telecom network fraud crimes from the source.
NETL
NSTL
维普
万方数据
