基于大数据技术的电子商务支付安全性检测  

commerce Payment Security Detection Based on Big Data Technology

作　　者：丁子轩 王娜[1] DING Zixuan;WANG Na(Changchun University of Architecture and Engineer,Changchun Jilin 130607,China)

机构地区：[1]长春建筑学院,吉林长春130607

出　　处：《信息与电脑》2023年第3期10-12,共3页Information & Computer

摘　　要：常规的支付安全检测方法中,主要以对抗的形式限制交易时间,无法满足电子商务支付场景的需求。因此,设计了基于大数据技术的电子商务支付安全性检测方法。首先,确定电子商务安全支付的威胁点,并对其安全支付结构进行改进;其次,利用大数据技术构建了电子商务支付安全性检测模型,找出威胁支付安全的风险节点,并对其进行检测;最后,进行对比实验。实验结果表明,与其他方法相比,该检测方法的检测效果更佳,能够应用于实际生活中。Conventional payment security detection methods mainly limit transaction time in the form o£confrontation,which cannot meet the requirements of e-commerce payment scenarios.Therefore,an e-commerce payment security detection method based on big data technology is designed.Firstly,identify the threat points of e-commerce security payment and improve its security payment structure.Secondly,we use big data technology to build an e-commerce payment security detection model,find out the risk nodes that threaten payment security,and detect them.Finally,a comparative experiment was carried out.The experimental results show that compared with other methods,this detection method has better detection effect and can be applied in real life.

关 键 词：大数据技术 电子商务 支付安全性 检测方法 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]