SYSTEMS, METHODS, USER INTERFACES, AND COMPUTER-READABLE MEDIA FOR INVESTIGATING POTENTIAL MALICIOUS COMMUNICATIONS
    5.
    发明申请
    SYSTEMS, METHODS, USER INTERFACES, AND COMPUTER-READABLE MEDIA FOR INVESTIGATING POTENTIAL MALICIOUS COMMUNICATIONS 有权
    用于调查潜在恶性通信的系统,方法,用户界面和计算机可读介质

    公开(公告)号:US20170041335A1

    公开(公告)日:2017-02-09

    申请号:US15253717

    申请日:2016-08-31

    Abstract: A data analysis system receives potentially undesirable electronic communications and automatically groups them in computationally-efficient data clusters, automatically analyze those data clusters, automatically tags and groups those data clusters, and provides results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the data clusters may include an automated application of various criteria or rules so as to generate an ordered display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters.

    Abstract translation: 数据分析系统接收潜在的不需要的电子通信,并将其自动分组在计算高效的数据集群中,自动分析这些数据集群,自动标记和分组这些数据集群,并以优化的方式为分析人员提供自动化分析和分组的结果 。 数据集群的自动化分析可以包括各种标准或规则的自动化应用,以便生成相关数据集群组的有序显示,使得分析人员可以快速有效地评估数据集群。 特别地,可以在交互式用户界面中动态重新分组和/或过滤数据群组,以使分析人员可以快速地在与各种数据集群相关联的信息之间导航,并有效地评估这些数据集群。

    Systems, methods, user interfaces, and computer-readable media for investigating potential malicious communications
    7.
    发明授权
    Systems, methods, user interfaces, and computer-readable media for investigating potential malicious communications 有权
    用于调查潜在恶意通信的系统,方法,用户界面和计算机可读介质

    公开(公告)号:US09456000B1

    公开(公告)日:2016-09-27

    申请号:US15072174

    申请日:2016-03-16

    Abstract: A data analysis system receives potentially undesirable electronic communications and automatically groups them in computationally-efficient data clusters, automatically analyze those data clusters, automatically tags and groups those data clusters, and provides results of the automated analysis and grouping in an optimized way to an analyst. The automated analysis of the data clusters may include an automated application of various criteria or rules so as to generate an ordered display of the groups of related data clusters such that the analyst may quickly and efficiently evaluate the groups of data clusters. In particular, the groups of data clusters may be dynamically re-grouped and/or filtered in an interactive user interface so as to enable an analyst to quickly navigate among information associated with various groups of data clusters and efficiently evaluate those data clusters.

    Abstract translation: 数据分析系统接收潜在的不需要的电子通信,并将其自动分组在计算高效的数据集群中,自动分析这些数据集群,自动标记和分组这些数据集群,并以优化的方式为分析人员提供自动化分析和分组的结果 。 数据集群的自动化分析可以包括各种标准或规则的自动化应用,以便生成相关数据集群组的有序显示,使得分析人员可以快速有效地评估数据集群。 特别地,可以在交互式用户界面中动态重新分组和/或过滤数据群组,以使分析人员可以快速地在与各种数据集群相关联的信息之间导航,并有效地评估这些数据集群。

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