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ANOMALOUS NETWORK NODE BEHAVIOUR IDENTIFICATION USING DETERMINISTIC PATH WALKING

机译:使用确定性路径行走的异常网络节点行为识别

摘要

A computer implemented method of identifying anomalous behaviour of a computer system in a set of intercommunicating computer systems, each computer system in the set being uniquely identifiable, the method comprising: monitoring communication between computer systems in the set for a predetermined baseline time period to generate a baseline vector representation of each of the systems; monitoring communication between computer systems in the set for a subsequent predetermined time period to generate a subsequent vector representation of each of the systems; comparing baseline and subsequent vector representations corresponding to a target computer system using a vector similarity function to identify anomalous behaviour of the target system in the subsequent time period compared to the baseline time period, characterised in that a vector representation of the target system for a time period is generated based on a deterministic walk of a graph representation of communications between the computer systems in which nodes of the graph correspond to computer systems in the set and weighted directed edges between nodes of the graph correspond to a characteristic of communication between pairs of computer systems in the set.
机译:一种计算机实现了识别计算机系统中的一组互通计算机系统的异常行为的方法,该组中的每个计算机系统都具有唯一可识别的方法,该方法包括:在集合中监视计算机系统之间的通信,用于生成预定的基线时间段的预定基线时间段每个系统的基线矢量表示;监视用于随后的预定时间段的集合中的计算机系统之间的通信,以生成每个系统的后续向量表示;比较与目标计算机系统对应的基线和后续向量表示使用矢量相似性功能,与基线时间段相比,在随后的时间段中识别目标系统的异常行为,其特征在于目标系统的矢量表示基于在曲线节点与图中的节点之间的计算机系统对应于图形的节点之间的计算机系统和加权指向边缘之间的通信的图表表示的确定性步行,对应于计算机对对应于计算机之间的通信的特性SET中的系统。

著录项

  • 公开/公告号EP3681124B1

    专利类型

  • 公开/公告日2022-01-12

    原文格式PDF

  • 申请/专利权人

    申请/专利号EP20190217369

  • 发明设计人 GIBSON MICHAEL;

    申请日2019-12-18

  • 分类号H04L29/06;G06F21/55;

  • 国家 EP

  • 入库时间 2022-08-24 23:19:48

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