公开(公告)号：US10567421B2

公开(公告)日：2020-02-18

申请号：US15604354

申请日：2017-05-24

申请人： AOL Inc.

发明人： Donald J. McQueen ,  Lachlan A. Maxwell ,  William C. Wakefield, III

IPC分类号： H04L29/06 ,  G06F21/31

摘要： Systems and methods are disclosed for identifying human users on a network. One method includes receiving network data comprising data transmitted over a network over predetermined time period, the network data comprising a plurality of usernames and a plurality of events, wherein each of the plurality of events is associated with at least one of the plurality of usernames; determining a plurality of pairs, each pair of the plurality of pairs comprising a username of the plurality of usernames and an associated event of the plurality of events; determining qualifying pairs of the plurality of pairs, the qualifying pairs corresponding to a subset of the plurality of pairs that meet or exceed one or more predetermined event frequency thresholds; determining non-qualifying pairs of the plurality of pairs, the non-qualifying pairs corresponding to the subset of the plurality of pairs that do not meet or exceed one or more predetermined event frequency thresholds; generating at least one distribution associated with the qualifying pairs and non-qualifying pairs; and based on the at least one distribution, determining if at least one username of the plurality of usernames is associated with a human user or a non-human user.

公开(公告)号：US20180343280A1

公开(公告)日：2018-11-29

申请号：US15604354

申请日：2017-05-24

申请人： AOL Inc.

发明人： Donald J. McQueen ,  Lachlan A. Maxwell ,  William C. Wakefield, III

IPC分类号： H04L29/06 ,  G06F21/31

CPC分类号： H04L63/1441 ,  G06F21/316 ,  G06F2221/2133 ,  H04L63/08 ,  H04L63/1425 ,  H04L2463/144

摘要： Systems and methods are disclosed for identifying human users on a network. One method includes receiving network data comprising data transmitted over a network over predetermined time period, the network data comprising a plurality of usernames and a plurality of events, wherein each of the plurality of events is associated with at least one of the plurality of usernames; determining a plurality of pairs, each pair of the plurality of pairs comprising a username of the plurality of usernames and an associated event of the plurality of events; determining qualifying pairs of the plurality of pairs, the qualifying pairs corresponding to a subset of the plurality of pairs that meet or exceed one or more predetermined event frequency thresholds; determining non-qualifying pairs of the plurality of pairs, the non-qualifying pairs corresponding to the subset of the plurality of pairs that do not meet or exceed one or more predetermined event frequency thresholds; generating at least one distribution associated with the qualifying pairs and non-qualifying pairs; and based on the at least one distribution, determining if at least one username of the plurality of usernames is associated with a human user or a non-human user.