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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.
Inventor: Prashant Gaurav , Sidharth Mishra , Karandeep Singh Chawla , Anubhav Gupta , Sudhir Srinivas , Apurv Gupta , Nagapramod Mandagere
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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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.
Inventor: Prashant Gaurav , Sidharth Mishra , Karandeep Singh Chawla , Anubhav Gupta , Sudhir Srinivas , Nagapramod Mandagere , Apurv Gupta
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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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.
Inventor: Prashant Gaurav , Sidharth Mishra , Karandeep Singh Chawla , Anubhav Gupta , Sudhir Srinivas , Apurv Gupta , Nagapramod Mandagere
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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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.
Inventor: Prashant Gaurav , Sidharth Mishra , Karandeep Singh Chawla , Anubhav Gupta , Sudhir Srinivas , Apurv Gupta , Nagapramod Mandagere
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.
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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.
Inventor: Prashant Gaurav , Sidharth Mishra , Karandeep Singh Chawla , Anubhav Gupta , Sudhir Srinivas , Apurv Gupta , Nagapramod Mandagere
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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