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    • 1. 发明申请
    • RISK MANAGER OPTIMIZER
    • 风险管理者优化者
    • US20160292690A1
    • 2016-10-06
    • US15182241
    • 2016-06-14
    • Patrick FaithKevin SiegelMayrose Pacis Kragas
    • Patrick FaithKevin SiegelMayrose Pacis Kragas
    • G06Q20/40G06F17/30G06F21/55H04L29/06
    • G06Q20/4016G06F16/9024G06F16/9027G06F21/552G06F2221/034H04L63/20
    • Embodiments of the invention provides systems and methods for automatically generating rules for detecting unauthorized network activities. The method comprises receiving network activity data for a set of prior network activities, deriving a set of field combinations by combining different fields in a subset of the plurality of fields of the network activity data, deriving a set of field value combinations associated with the field combination, calculating a field value combination signal-to-noise value (SNV) based on at least a ratio of authorized network activities to unauthorized network activities in the set of prior network activities, determining a field combination SNV based on the field value combination SNVs, selecting one or more field combinations to generate a set of one or more detection rules, and applying the selected detection rules to determine whether a particular network activity is authorized.
    • 本发明的实施例提供了用于自动生成用于检测未经授权的网络活动的规则的系统和方法。 该方法包括接收一组先前网络活动的网络活动数据,通过组合网络活动数据的多个字段的子集中的不同字段来导出一组字段组合,导出与该字段相关联的一组字段值组合 基于所述现有网络活动集合中的授权网络活动与未授权网络活动的比例来计算场值组合信噪比(SNV),基于所述场值组合SNV来确定场组合SNV ,选择一个或多个字段组合以生成一组一个或多个检测规则,以及应用所选择的检测规则以确定特定网络活动是否被授权。