DETECTING THREAT PATHWAYS USING SEQUENCE GRAPHS

    公开(公告)号:US20220394049A1

    公开(公告)日:2022-12-08

    申请号:US17338646

    申请日:2021-06-03

    Abstract: A method for detecting threat pathways using sequence graphs includes constructing a sequence graph from a set of data containing information about activities in a telecommunications service provider network, where the sequence graph represents a subset of the activities that occurs as a sequence, providing an embedding of the sequence graph as input to a machine learning model, wherein the machine learning model has been trained to detect when an input embedding of a sequence graph is likely to indicate a threat activity, determining, based on an output of the machine learning model, whether the subset of the activities is indicative of the threat activity, and initiating a remedial action to mitigate the threat activity.

    FRAUD DETECTION VIA MOBILE DEVICE LOCATION TRACKING
    2.
    发明申请
    FRAUD DETECTION VIA MOBILE DEVICE LOCATION TRACKING 有权
    通过移动设备进行跟踪检测

    公开(公告)号:US20160171499A1

    公开(公告)日:2016-06-16

    申请号:US14572522

    申请日:2014-12-16

    CPC classification number: G06Q20/4016 G06Q20/3224

    Abstract: Methods, computer-readable media and devices for calculating fraud scores for pending payment transactions are disclosed. A method includes a processor receiving a request for a fraud score. The request comprises a notification of a pending payment transaction that is associated with a credit card of a user and associated with a first location. The processor then detects a location of a device associated with the user, calculates a fraud score based upon the location of the device and the first location, and sends a response comprising the fraud score that is calculated.

    Abstract translation: 公开了用于计算待付款交易的欺诈分数的方法,计算机可读介质和装置。 一种方法包括处理器接收对欺诈评分的请求。 该请求包括与用户的信用卡相关联并与第一位置相关联的未决支付交易的通知。 然后,处理器检测与用户相关联的设备的位置,基于设备的位置和第一位置计算欺诈评分,并且发送包括计算的欺诈评分的响应。

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