Privacy risk information display
    1.
    发明授权

    公开(公告)号:US10860742B2

    公开(公告)日:2020-12-08

    申请号:US16061547

    申请日:2015-12-22

    Abstract: Example implementations are described that include displaying a graphical element related to privacy risk information for an application. A processor of a computing device may determine, for the application, a privacy attention score based on first privacy risk information. The processor may determine, for the application, an aggregated privacy assessment score from a plurality of privacy risk scores that are based on second privacy risk information. The processor may cause a graphical element representing a combination of the privacy attention score and the aggregated privacy assessment score to be displayed via a display device.

    PRIVACY RISK ASSESSMENTS
    2.
    发明申请

    公开(公告)号:US20180330100A1

    公开(公告)日:2018-11-15

    申请号:US15776321

    申请日:2015-11-17

    Abstract: Example implementations relate to privacy risk assessments. Some implementations may include a privacy risk identification engine to automatically identify privacy risks in an application based on an analysis of application code. Additionally, some implementations may include a privacy risk identification engine to obtain privacy risk information related to each of the privacy risks. Moreover, some implementations may include a privacy risk assessment engine to assess a severity of each of the privacy risks based on an analysis of the privacy risk information. In some examples, the analysis may include a determination of, for each of the privacy risks, a risk impact and a risk likelihood.

    Privacy risk assessments
    3.
    发明授权

    公开(公告)号:US10963571B2

    公开(公告)日:2021-03-30

    申请号:US15776321

    申请日:2015-11-17

    Abstract: Example implementations relate to privacy risk assessments. Some implementations may include a privacy risk identification engine to automatically identify privacy risks in an application based on an analysis of application code. Additionally, some implementations may include a privacy risk identification engine to obtain privacy risk information related to each of the privacy risks. Moreover, some implementations may include a privacy risk assessment engine to assess a severity of each of the privacy risks based on an analysis of the privacy risk information. In some examples, the analysis may include a determination of, for each of the privacy risks, a risk impact and a risk likelihood.

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