ANOMALY DETECTION AND CHARACTERIZATION IN APP PERMISSIONS

    公开(公告)号:US20220342985A1

    公开(公告)日:2022-10-27

    申请号:US17238854

    申请日:2021-04-23

    Abstract: Anomalous or unexpected system permissions in applications in a computing environment are identified by generating a statistical model at least in part from application permissions granted across a plurality of application types. One or more of the application permissions granted across a plurality of application types are identified as potentially unexpected dangerous permissions. The statistical model is used to determine whether a target application has at least one potentially dangerous permission that is not statistically likely for a target application type of the target application.

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