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RISK IDENTIFICATION FOR UNLABELED THREATS IN NETWORK TRAFFIC

机译:网络流量中无法应对的威胁的风险识别

摘要

A processing system including at least one processor may obtain network traffic data of a network, including a first set of flow data associated with a first node, determine an anomaly factor of the first node from the network traffic data quantifying a deviation of the first set of flow data from a normal flow data associated with the first node, generate an exposure score of the first node in accordance with a measured influence of the first node in the network and the anomaly factor, generate a persistence score of the first node in accordance with a reputation measure of the first node and a measure of a recurrence of anomalous flow data associated with the first node, calculate a threat level of the first node from the exposure score and the persistence score, and reconfigure at least one aspect of the network in response to the threat level.
机译:包括至少一个处理器的处理系统可以获得网络的网络流量数据,包括与第一节点相关联的第一组流数据,从网络流量数据中确定第一节点的异常因子,从而量化第一组的偏差。从与第一节点相关联的正常流数据中获取流数据,根据网络中第一节点的测量影响和异常因子生成第一节点的暴露分数,并根据第一节点的持久性分数生成利用第一节点的信誉度量和与第一节点相关的异常流数据的重复出现的度量,从暴露分数和持久性分数计算第一节点的威胁级别,并重新配置网络的至少一个方面响应威胁级别。

著录项

  • 公开/公告号US2020195673A1

    专利类型

  • 公开/公告日2020-06-18

    原文格式PDF

  • 申请/专利权人 AT&T INTELLECTUAL PROPERTY I L.P.;

    申请/专利号US201816224406

  • 发明设计人 MELISSA LEE;

    申请日2018-12-18

  • 分类号H04L29/06;H04L12/721;

  • 国家 US

  • 入库时间 2022-08-21 11:25:08

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