信息网络安全 ›› 2017, Vol. 17 ›› Issue (9): 77-80.doi: 10.3969/j.issn.1671-1122.2017.09.018

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基于IP信誉的在线交易风险侦测技术研究

何朔1,2(), 黄自力1,2, 杨阳1,2, 陈舟1,2   

  1. 1. 电子商务与电子支付国家工程实验室,上海 201201
    2. 中国银联股份有限公司,上海 201201
  • 收稿日期:2017-08-01 出版日期:2017-09-20 发布日期:2020-05-12
  • 作者简介:

    作者简介: 何朔(1978—),男,浙江,高级工程师,硕士,主要研究方向为通信、信息技术研发;黄自力(1991—),男,上海,硕士,主要研究方向为信息安全、数据挖掘;杨阳(1987—),男,安徽,工程师,硕士,主要研究方向为信息安全;陈舟(1984—),男,湖南,本科,主要研究方向为信息安全。

Research on Online Transaction Risk Detection Based on IP Reputation

Shuo HE1,2(), Zili HUANG1,2, Yang YANG1,2, Zhou CHEN1,2   

  1. 1. National Engineering Laboratory of E-payment and E-commerce, Shanghai 201201, China
    2. China UnionPay Co., Ltd, Shanghai 201201, China
  • Received:2017-08-01 Online:2017-09-20 Published:2020-05-12

摘要:

随着互联网支付的迅速发展,在线交易风险不断升级,各类恶意交易行为屡见不鲜。为了应对业务风险防控的严峻挑战,以IP信誉为切入点,评估交易行为是及时发现在线交易风险的重要手段之一。文章通过对IP信誉与在线交易风险的关联分析,提出基于IP信誉的在线交易风险侦测框架与模型,根据业务实际场景,实现对在线交易风险的实时识别,为互联网业务的安全运营提供了更多保障。

关键词: IP信誉, 在线交易, 风险侦测

Abstract:

With the rapid development of Internet payments, the continuously upgrading of online transaction risk, all kinds of malicious transaction behavior is of common occurrence. For coping with the severe challenges of business risk prevention and control, IP reputation should be taken as the breakthrough point to evaluate for transaction behaviors, which is one of important measures to find online transaction risks timely. By means of association analysis of IP reputation and online transaction risks, this paper propose a framework and model of online transaction risk detection based on IP reputation, to realize the real-time recognition of online transaction risk according to the actual business scenarios. The framework provides much more guarantee for safe operation of Internet business.

Key words: IP reputation, online transaction, risk detection

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