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CYBER SECURITY METHOD FOR DETECTING AN ANOMALY BASED ON UNSUPERVISED LEARNING

机译:基于无监督学习的网络安全方法检测异常

摘要

Disclosed herein is a method for use in detection of abnormal behaviour of a group of a plurality of entities (1,2,3,4,5) of a computer system (100). The method is arranged to be performed by a processing system and comprises: creating a model of normal behaviour of the group of entities (1,2,3,4,5); and determining, in accordance with the model of normal behaviour of the group of entities (1,2,3,4,5), a parameter indicative of abnormal behaviour of the group of entities (1,2,3,4,5). Also disclosed is an equivalent computer readable medium and anomalous behaviour detection system.
机译:本文公开了一种用于检测计算机系统(100)的多个实体(1,2,3,4,5)的异常行为的方法。该方法被布置为由处理系统执行,并包括:创建实体组的正常行为模型(1,2,3,4,5);根据实体组的正常行为模型(1,2,3,4,5),指示实体组异常行为的参数(1,2,3,4,5) 。还公开了一种等效的计算机可读介质和异常行为检测系统。

著录项

  • 公开/公告号EP3800863A1

    专利类型

  • 公开/公告日2021-04-07

    原文格式PDF

  • 申请/专利权人 DARKTRACE LIMITED;

    申请/专利号EP20200211082

  • 发明设计人 STOCKDALE JACK BENJAMIN;DUNN MATTHEW;

    申请日2017-02-08

  • 分类号H04L29/06;G06F21/55;G06N3/08;G06N20;H04W12/12;

  • 国家 EP

  • 入库时间 2022-08-24 18:05:28

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