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Community-Based Anomaly Detection Policy Sharing Among Organizations

机译:组织之间基于社区的异常检测策略共享

摘要

Techniques are provided for community-based anomaly detection policy sharing among organizations. One method comprises obtaining a cluster of organizations derived from clustering multiple organizations based on predefined clustering parameters; obtaining multiple policies from the organizations in the cluster; selecting one of the obtained plurality of policies based on a predefined policy sharing criteria; and sharing the selected policy with one or more of the organizations in the cluster. A use of the selected policy by one or more of the organizations is optionally simulated to evaluate a performance of the selected policy. The selected policy is optionally normalized and/or abstracted prior to being shared with organizations in the at least one cluster. A given policy obtained from the organizations in the cluster is optionally weighted based on an influence rating of one or more source organizations that provided the given policy.
机译:提供了在组织之间共享基于社区的异常检测策略的技术。一种方法包括:获得基于预定义的聚类参数将多个组织聚类而得的组织聚类;从集群中的组织获取多个策略;基于预定义的策略共享准则,选择获取的多个策略之一;并与集群中的一个或多个组织共享所选策略。可以选择模拟一个或多个组织对所选策略的使用,以评估所选策略的性能。在与至少一个集群中的组织共享之前,可以选择对所选择的策略进行规范化和/或抽象化。从集群中的组织获得的给定策略可以根据提供给定策略的一个或多个源组织的影响力等级进行加权。

著录项

  • 公开/公告号US2020244705A1

    专利类型

  • 公开/公告日2020-07-30

    原文格式PDF

  • 申请/专利权人 EMC IP HOLDING COMPANY LLC;

    申请/专利号US201916257351

  • 发明设计人 ALEX ZASLAVSKY;SALAH E. MACHANI;

    申请日2019-01-25

  • 分类号H04L29/06;H04L12/24;

  • 国家 US

  • 入库时间 2022-08-21 11:21:26

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