MAPPING BETWEEN RAW ANOMALY SCORES AND TRANSFORMED ANOMALY SCORES

    公开(公告)号:US20200379863A1

    公开(公告)日:2020-12-03

    申请号:US16426850

    申请日:2019-05-30

    Abstract: In some examples, a system is to, given an anomaly score threshold over which at least one anomalous point is to be observed in a test set of points with a specified probability, determine, using raw anomaly scores for a training set of points, a first mapping between raw anomaly scores in a first range and first transformed anomaly scores using a first transformation technique. The system is to determine, using the raw anomaly scores for the training set of points, a second mapping between raw anomaly scores in a second range greater than the first range and second transformed anomaly scores using a second transformation technique different from the first transformation technique. The system is to use the first mapping and the second mapping to detect an anomaly in a computing environment based on the test set of points.

    Mapping between raw anomaly scores and transformed anomaly scores

    公开(公告)号:US11263104B2

    公开(公告)日:2022-03-01

    申请号:US16426850

    申请日:2019-05-30

    Abstract: In some examples, a system is to, given an anomaly score threshold over which at least one anomalous point is to be observed in a test set of points with a specified probability, determine, using raw anomaly scores for a training set of points, a first mapping between raw anomaly scores in a first range and first transformed anomaly scores using a first transformation technique. The system is to determine, using the raw anomaly scores for the training set of points, a second mapping between raw anomaly scores in a second range greater than the first range and second transformed anomaly scores using a second transformation technique different from the first transformation technique. The system is to use the first mapping and the second mapping to detect an anomaly in a computing environment based on the test set of points.

    Aggregating anomaly scores from anomaly detectors

    公开(公告)号:US11244043B2

    公开(公告)日:2022-02-08

    申请号:US16426862

    申请日:2019-05-30

    Abstract: In some examples, a system determines a dependency among a plurality of anomaly detectors, the determining comprising clustering anomaly detectors of the plurality of anomaly detectors into clusters of anomaly detectors. The system aggregates anomaly scores produced by anomaly detectors in a first cluster of anomaly detectors, to generate a first aggregate anomaly score, and detects an anomaly using the first aggregate anomaly score.

    VISUALIZATIONS REPRESENTING POINTS CORRESPONDING TO EVENTS

    公开(公告)号:US20200382534A1

    公开(公告)日:2020-12-03

    申请号:US16426856

    申请日:2019-05-30

    Abstract: In some examples, a system computes risk scores relating to points corresponding to events in a computing environment, using a plurality of different risk score computation techniques, and generates a plurality of visualizations representing the points. The plurality of visualizations include a first visualization representing the points and including the risk scores computed using a first risk score computation technique of the different risk score computation techniques, and a second visualization representing the points and including the risk scores computed using a second risk score computation technique of the different risk score computation techniques.

    AGGREGATING ANOMALY SCORES FROM ANOMALY DETECTORS

    公开(公告)号:US20200380117A1

    公开(公告)日:2020-12-03

    申请号:US16426862

    申请日:2019-05-30

    Abstract: In some examples, a system determines a dependency among a plurality of anomaly detectors, the determining comprising clustering anomaly detectors of the plurality of anomaly detectors into clusters of anomaly detectors. The system aggregates anomaly scores produced by anomaly detectors in a first cluster of anomaly detectors, to generate a first aggregate anomaly score, and detects an anomaly using the first aggregate anomaly score.

Patent Agency Ranking