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Systems and methods for analyzing network data to identify human and non-human users in network communications

机译:用于分析网络数据以识别网络通信中的人类和非人类用户的系统和方法

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.
机译:公开了用于识别网络上的人类用户的系统和方法。一种方法包括:接收网络数据,该网络数据包括在预定时间段内通过网络传输的数据,该网络数据包括多个用户名和多个事件,其中,多个事件中的每一个与多个用户名中的至少一个相关联;确定多个对,多个对中的每个对包括多个用户名中的用户名和多个事件中的相关事件;确定所述多个对中的合格对,所述合格对对应于所述多个对中的子集满足或超过一个或多个预定事件频率阈值的子集;确定所述多个对中的不合格对,所述不合格对与所述多个对中的子集对应的不满足或不超过一个或多个预定事件频率阈值;产生至少一个与合格对和不合格对相关的分布;并且基于至少一个分布,确定多个用户名中的至少一个用户名是与人类用户还是非人类用户相关联。

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