A Monitoring Model of Unusual Transactions Based on Complex Event Processing
Faced with the demand for real-time big data processing,the existing financial risk early warning systems are generally difficult to identify hidden risks in massive data information quickly and accurately.This paper introduces a complex event processing technology (CEP),proposes a method of real-time monitoring for big data,establishes a monitoring model of unusual transactions,designs and realizes a system based on this model.The model contains data acquisition and encapsulation module,custom rules modeling module and results display module.Using real data of a security company to test the system,the results show that,it can identify hidden risks in unusual transactions accurately,and the speed of processing is improved significantly comparing with the system which is based on traditional database analysis method.
complex event processing anomaly detection monitoring model financial risk early warning real-time monitoring
Jingxian Wan Fengying He Bin Liu Shangping Zhong
College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China Information Technology Department, Industrial Securities Co.Ltd., Fuzhou 350003, China
国际会议
三亚
英文
1986-1992
2013-06-22（万方平台首次上网日期，不代表论文的发表时间）