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Systems and methods for identifying and mitigating outlier network activity

机译:用于识别和减轻异常网络活动的系统和方法

摘要

Embodiments provide systems and methods for identifying and mitigating outlier network activity. In embodiments, network activity by a plurality of users may be monitored and, based on the monitoring, a plurality of data sets may be compiled. Each of the plurality data sets may include information representative of activity by the plurality of users. A network model representative of at least a portion of the network activity may be constructed based on one or more of the plurality of data sets. The network model may be evaluated against a set of rules to produce outputs that include at least one of: a set of classifications, a set of link metrics, and a set of communities. Decision engine logic may be executed against the outputs to identify outlier network activity. In response to identifying outlier network activity, operations to mitigate the identified outlier network activity may be executed.
机译:实施例提供了用于识别和减轻异常网络活动的系统和方法。在实施例中,可以监视多个用户的网络活动,并且基于该监视,可以编译多个数据集。多个数据集中的每个可以包括代表多个用户的活动的信息。可以基于多个数据集中的一个或多个来构建代表网络活动的至少一部分的网络模型。可以针对一组规则对网络模型进行评估,以产生包括以下至少一项的输出:一组分类,一组链路度量和一组社区。可以针对输出执行决策引擎逻辑,以识别异常网络活动。响应于标识离群网络活动,可以执行减轻所标识的离群网络活动的操作。

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