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DETECTING FRAUDULENT ACTIVITY BY ANALYSIS OF INFORMATION REQUESTS

机译:通过分析信息需求来检测欺诈活动

摘要

Techniques are described for use in inhibiting attempts to fraudulently obtain access to confidential information about users. In some situations, the techniques involve automatically analyzing at least some requests for information that are received by a Web site or other electronic information service, such as to determine whether they likely reflect fraudulent activities by the request senders or other parties that initiate the requests. For example, if a request is being made to a Web site based on a user's interaction with a third-party information source (e.g., another unaffiliated Web site) that is not authorized to initiate the request, the third-party information source may be a fraudulent phishing site or engaging in other types of fraudulent activity. If fraudulent activity is suspected based on analysis of one or more information requests, one or more actions may be taken to inhibit the fraudulent activity.
机译:描述了用于禁止欺骗性地获得对有关用户的机密信息的访问的技术。在某些情况下,这些技术包括自动分析网站或其他电子信息服务接收到的至少一些信息请求,以便确定它们是否可能反映了请求发送者或发起请求的其他方的欺诈活动。例如,如果基于用户与未经授权发起请求的第三方信息源(例如,另一个非附属网站)的交互来向网站提出请求,则第三方信息源可以是欺诈性钓鱼网站或从事其他类型的欺诈活动。如果基于对一个或多个信息请求的分析而怀疑欺诈活动,则可以采取一种或多种动作来禁止欺诈活动。

著录项

  • 公开/公告号US2014250526A1

    专利类型

  • 公开/公告日2014-09-04

    原文格式PDF

  • 申请/专利权人 AMAZON TECHNOLOGIES INC.;

    申请/专利号US201414278623

  • 发明设计人 SEAN C. HARDING;RICHENDRA KHANNA;

    申请日2014-05-15

  • 分类号H04L29/06;G06F21/60;

  • 国家 US

  • 入库时间 2022-08-21 16:07:24

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