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Method for Adaptively Building a Baseline Behavior Model

机译:自适应建立基线行为模型的方法

摘要

A method for generating an auto-adaptive baseline model for profiling individual and collective behavior of a plurality of network users. The method comprises the steps of creating a model, defining a plurality of members and a plurality of collective variables, each member corresponding to a user, and including a plurality of individual variables, defining conditions for each collective variable and individual variable, upon detecting an activity by a user, updating corresponding individual variables and collective variables, and comparing updated individual variables and collective variables against corresponding conditions. If a condition is met, an alert event is issued to notify designated personnel; otherwise, returning to the step of upon detecting activity. Finally, upon receiving an alert event, the designated personnel decides whether to manually redefine the conditions or to ignore the alert event. If the alert event is ignored, said conditions are automatically redefined in accordance with system defined mechanisms.
机译:一种用于生成用于对多个网络用户的个体和集体行为进行概要分析的自适应基线模型的方法。该方法包括以下步骤:创建模型;定义多个成员和多个集合变量,每个成员对应于一个用户,并且包括多个个体变量;在检测到一个或多个成员时,为每个集合变量和个体变量定义条件。用户的活动,更新相应的单个变量和集合变量,并将更新的单个变量和集合变量与相应条件进行比较。如果满足条件,则发出警报事件以通知指定人员;否则,返回检测到活动的步骤。最后,指定人员在收到警报事件后,决定是手动重新定义条件还是忽略警报事件。如果警报事件被忽略,则根据系统定义的机制自动重新定义所述条件。

著录项

  • 公开/公告号US2013080631A1

    专利类型

  • 公开/公告日2013-03-28

    原文格式PDF

  • 申请/专利权人 YEEJANG JAMES LIN;

    申请/专利号US201213683639

  • 发明设计人 YEEJANG JAMES LIN;

    申请日2012-11-21

  • 分类号H04L29/08;

  • 国家 US

  • 入库时间 2022-08-21 16:48:36

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