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ANOMALY DETECTION FOR AUTOMATED INFORMATION TECHNOLOGY PROCESSES

机译:自动信息技术过程的异常检测

摘要

Methods, systems, and computer-readable storage media for receiving a record including a set of attributes, each attribute having an attribute value, the record representing automatic execution of an IT process within a managed system, retrieving a model representing historical executions of the IT process and including a set of distribution parameters associated with a first type of attribute and a set of probability distributions associated with a second type of attribute, determining, for a first attribute, a first score based on distribution parameters and a value, determining, for a second attribute, a second score based on a probability distribution and a value, the second attribute being of the second type of attribute, and selectively indicating that the IT process is anomalous based on an outlier score.
机译:方法,系统和计算机可读存储介质,用于接收包括一组属性的记录,每个属性具有属性值,该记录表示在受管系统中的自动执行IT过程,检索表示其历史执行的模型 处理和包括与第一类型属性相关联的一组分发参数和与第二类型属性相关联的一组概率分布,基于分发参数和值确定第一属性,确定,用于 第二属性,基于概率分布的第二分数和值,第二属性是第二种类型的属性,并且选择性地指示IT过程基于异常分数是异常的。

著录项

  • 公开/公告号US2021383248A1

    专利类型

  • 公开/公告日2021-12-09

    原文格式PDF

  • 申请/专利权人 SAP SE;

    申请/专利号US202016896392

  • 发明设计人 ROLF SCHIMPFKY;CHRISTIAN MARTICK;

    申请日2020-06-09

  • 分类号G06N5/02;H04L12/24;G06F17/18;

  • 国家 US

  • 入库时间 2022-08-24 22:42:46

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