Malicious content detection with retrospective reporting

    公开(公告)号:US10554678B2

    公开(公告)日:2020-02-04

    申请号:US15659953

    申请日:2017-07-26

    Abstract: A method includes: at a server, obtaining security intelligence data used for classifying whether a data associated with a user activity in a network is undesirable at a first time; classifying whether a first data in the network is undesirable based on the security intelligence data; receiving a request for classifying whether a second data is undesirable based on the security intelligence data; determining whether the server is overloaded with tasks; if the server is determined to be overloaded with tasks: logging the second data in a repository, and tagging the second data to re-visit classification of the second data; and when the server is no longer overloaded, classifying whether the second data is undesirable to produce a second classifying result and re-classifying whether the first data is undesirable based on updated security intelligence data obtained by the server.

    Malicious content detection with retrospective reporting

    公开(公告)号:US11063975B2

    公开(公告)日:2021-07-13

    申请号:US16738583

    申请日:2020-01-09

    Abstract: A server obtains security intelligence data used for classifying whether data associated with user activity in a network is undesirable, and classifies the data based on the security intelligence data. The server provides an initial classifying result of the data to a device associated with the data. At a subsequent time, the server obtains updated security intelligence data and re-classifies whether the first data is undesirable based on the updated security intelligence data. Responsive to a determination that the initial classifying result is changed based on the re-classifying, the server provides an updated classifying result to the device associated with the data.

    MALICIOUS CONTENT DETECTION WITH RETROSPECTIVE REPORTING

    公开(公告)号:US20200153848A1

    公开(公告)日:2020-05-14

    申请号:US16738583

    申请日:2020-01-09

    Abstract: A server obtains security intelligence data used for classifying whether data associated with user activity in a network is undesirable, and classifies the data based on the security intelligence data. The server provides an initial classifying result of the data to a device associated with the data. At a subsequent time, the server obtains updated security intelligence data and re-classifies whether the first data is undesirable based on the updated security intelligence data. Responsive to a determination that the initial classifying result is changed based on the re-classifying, the server provides an updated classifying result to the device associated with the data.

    MALICIOUS CONTENT DETECTION WITH RETROSPECTIVE REPORTING

    公开(公告)号:US20190036949A1

    公开(公告)日:2019-01-31

    申请号:US15659953

    申请日:2017-07-26

    Abstract: A method includes: at a server, obtaining security intelligence data used for classifying whether a data associated with a user activity in a network is undesirable at a first time; classifying whether a first data in the network is undesirable based on the security intelligence data; receiving a request for classifying whether a second data is undesirable based on the security intelligence data; determining whether the server is overloaded with tasks; if the server is determined to be overloaded with tasks: logging the second data in a repository, and tagging the second data to re-visit classification of the second data; and when the server is no longer overloaded, classifying whether the second data is undesirable to produce a second classifying result and re-classifying whether the first data is undesirable based on updated security intelligence data obtained by the server.

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