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    • 1. 发明申请
    • CONTEXTUAL GRAPH MATCHING BASED ANOMALY DETECTION
    • 基于图形匹配的异常检测
    • US20150106324A1
    • 2015-04-16
    • US14173533
    • 2014-02-05
    • Colin A. PuriJohn K. NguyenScott W. Kurth
    • Colin A. PuriJohn K. NguyenScott W. Kurth
    • G06N5/04
    • G06F11/079G06F11/0706G06F11/0709G06F11/0751G06F11/0778G06F17/30477G06F17/30958G06F21/552G06N5/04H04L41/00H04L63/1425
    • Contextual graph matching based anomaly detection may include evaluating computer-generated log file data to create a master directed graph that specifies known events and transitions between the known events. The master directed graph may be processed to determine a plurality of decomposed master graph walks. Incoming computer-generated log file data may be evaluated to create an incoming directed graph that specifies unknown events and transitions between the unknown events. The incoming directed graph may be processed to determine a decomposed incoming walk. Overlap, distance difference, and correlation scores may be determined for each walk pair of a plurality of walk pairs including each of the plurality of decomposed master graph walks and the decomposed incoming walk. One of the decomposed master graph walks may be selected based on the overlap score, the difference score, and the correlation score, to detect an anomaly.
    • 基于情景图匹配的异常检测可以包括评估计算机生成的日志文件数据以创建指定已知事件之间的已知事件和转换的主有向图。 可以处理主导向图以确定多个分解的主图行走。 可以评估传入的计算机生成的日志文件数据以创建指定未知事件和未知事件之间的转换的传入有向图。 可以处理传入的有向图以确定分解的进入步行。 可以针对包括多个分解的主图行走和分解的进入步行中的每一个的多个步行对的每个步行对来确定重叠,距离差和相关分数。 可以基于重叠分数,差分分数和相关分数来选择分解的主图行走中的一个,以检测异常。
    • 4. 发明授权
    • Contextual graph matching based anomaly detection
    • 基于情景图匹配的异常检测
    • US09367809B2
    • 2016-06-14
    • US14173533
    • 2014-02-05
    • Colin A. PuriJohn K. NguyenScott W. Kurth
    • Colin A. PuriJohn K. NguyenScott W. Kurth
    • G06N5/04G06F11/07H04L12/24G06F21/55H04L29/06
    • G06F11/079G06F11/0706G06F11/0709G06F11/0751G06F11/0778G06F17/30477G06F17/30958G06F21/552G06N5/04H04L41/00H04L63/1425
    • Contextual graph matching based anomaly detection may include evaluating computer-generated log file data to create a master directed graph that specifies known events and transitions between the known events. The master directed graph may be processed to determine a plurality of decomposed master graph walks. Incoming computer-generated log file data may be evaluated to create an incoming directed graph that specifies unknown events and transitions between the unknown events. The incoming directed graph may be processed to determine a decomposed incoming walk. Overlap, distance difference, and correlation scores may be determined for each walk pair of a plurality of walk pairs including each of the plurality of decomposed master graph walks and the decomposed incoming walk. One of the decomposed master graph walks may be selected based on the overlap score, the difference score, and the correlation score, to detect an anomaly.
    • 基于情景图匹配的异常检测可以包括评估计算机生成的日志文件数据以创建指定已知事件之间的已知事件和转换的主有向图。 可以处理主导向图以确定多个分解的主图行走。 可以评估传入的计算机生成的日志文件数据以创建指定未知事件和未知事件之间的转换的传入有向图。 可以处理传入的有向图以确定分解的进入步行。 可以针对包括多个分解的主图行走和分解的进入步行中的每一个的多个步行对的每个步行对来确定重叠,距离差和相关分数。 可以基于重叠分数,差分分数和相关分数来选择分解的主图行走中的一个,以检测异常。