MALICIOUS SOFTWARE DETECTION
    1.
    发明申请

    公开(公告)号:US20200226256A1

    公开(公告)日:2020-07-16

    申请号:US16832503

    申请日:2020-03-27

    Applicant: Cohesity, Inc.

    Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.

    Malicious software detection
    2.
    发明授权

    公开(公告)号:US10650146B1

    公开(公告)日:2020-05-12

    申请号:US16372230

    申请日:2019-04-01

    Applicant: Cohesity, Inc.

    Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.

    Malicious software detection
    3.
    发明授权

    公开(公告)号:US10943011B2

    公开(公告)日:2021-03-09

    申请号:US16832503

    申请日:2020-03-27

    Applicant: Cohesity, Inc.

    Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.

    Malicious software detection
    4.
    发明授权

    公开(公告)号:US11983270B2

    公开(公告)日:2024-05-14

    申请号:US17156050

    申请日:2021-01-22

    Applicant: Cohesity, Inc.

    CPC classification number: G06F21/565 G06F16/2365

    Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.

    MALICIOUS SOFTWARE DETECTION
    5.
    发明申请

    公开(公告)号:US20210240828A1

    公开(公告)日:2021-08-05

    申请号:US17156050

    申请日:2021-01-22

    Applicant: Cohesity, Inc.

    Abstract: An amount of data change associated with a version of a content file with respect to one or more previous versions of the content file is determined. The amount of change associated with the version of the content file is determined using a tree data structure associated with the content file that is stored on a storage cluster. One or more statistics associated with backup snapshot are provided to a server. The server is configured to determine that the amount of data change associated with the version of the content file is anomalous based in part on the one or more statistics associated with the backup snapshot. A notification that data associated with the backup snapshot is potentially infected by malicious software is received from the server. The version of the content file is indicated as being potentially infected by malicious software.

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