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Methods, systems, and computer program products extracting network behavioral metrics and tracking network behavioral changes

机译:方法,系统和计算机程序产品提取网络行为指标并跟踪网络行为变化

摘要

A network behavioral metric is extracted from a communication network based on a relevancy of the metric to network behavior by identifying a network metric x that is defined as a random variable that represents a quantitative measure of a network behavior accumulated over a period of time, selecting a network feature, generating a metric disintegration model for the network metric x comprising at least one normal behavior probability distribution function for the metric x for each value of the network feature, respectively, and at least one abnormal behavior probability distribution function for the metric x for each value of the network feature, respectively, increasing a number of the values of the metric x that indicates normal network behavior and/or abnormal network behavior based on the metric disintegration model, and selecting a network metric x as a behavioral metric based on a relevancy η of the network metric x to the network behavior. Embodiments for tracking network behavioral changes are also provided.
机译:通过确定定义为随机变量的网络指标x(定义为表示一段时间内累积的网络行为的量化指标)的网络指标x,基于该指标与网络行为的相关性从通信网络中提取网络行为指标,选择一种网络特征,为网络度量x生成度量分解模型,该模型包括分别针对网络特征的每个值的度量x的至少一个正常行为概率分布函数,以及对于度量x的至少一个异常行为概率分布函数对于每个网络特征的值,分别基于度量分解模型增加指示正常网络行为和/或异常网络行为的度量x的值的数量,并根据以下各项选择网络度量x作为行为度量:网络度量x与网络行为的相关性η。还提供了用于跟踪网络行为变化的实施例。

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