Data processing systems and methods for automatic discovery and assessment of mobile software development kits

    公开(公告)号:US11449633B2

    公开(公告)日:2022-09-20

    申请号:US17572298

    申请日:2022-01-10

    Applicant: OneTrust, LLC

    Abstract: A mobile application privacy analysis system is described, where the system scans a mobile device to identify files associated with a particular SDK and generates a tokenized name for the SDK. The tokenized name includes tokens representing the SDK vendor and one or more functions of the SDK. Using the tokenized name, the system then determines corresponding categories for each functionality token and score for each such category. Based on the scores, the system determines the most significant category and assigns that category to the SDK for use in privacy analysis. The system may also, or instead, determine a vendor category using the vendor token and assign that category to the SDK. Weighting factors may be applied to the scores for the categories associated with the functionality tokens and vendor tokens.

    AUTO-BLOCKING SOFTWARE DEVELOPMENT KITS BASED ON USER CONSENT

    公开(公告)号:US20240385916A1

    公开(公告)日:2024-11-21

    申请号:US18687219

    申请日:2022-10-03

    Applicant: OneTrust, LLC

    Abstract: Aspects of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for auto-blocking of software development kit functionality for mobile software applications based on consent (or lack thereof) provided by users who are interacting with the mobile software applications.

    DATA PROCESSING SYSTEMS AND METHODS FOR AUTOMATIC DISCOVERY AND ASSESSMENT OF MOBILE SOFTWARE DEVELOPMENT KITS

    公开(公告)号:US20230015047A1

    公开(公告)日:2023-01-19

    申请号:US17948036

    申请日:2022-09-19

    Applicant: OneTrust, LLC

    Abstract: A mobile application privacy analysis system is described, where the system scans a mobile device to identify files associated with a particular SDK and generates a tokenized name for the SDK. The tokenized name includes tokens representing the SDK vendor and one or more functions of the SDK. Using the tokenized name, the system then determines corresponding categories for each functionality token and score for each such category. Based on the scores, the system determines the most significant category and assigns that category to the SDK for use in privacy analysis. The system may also, or instead, determine a vendor category using the vendor token and assign that category to the SDK. Weighting factors may be applied to the scores for the categories associated with the functionality tokens and vendor tokens.

    Data processing systems and methods for automatic discovery and assessment of mobile software development kits

    公开(公告)号:US11222139B2

    公开(公告)日:2022-01-11

    申请号:US17326901

    申请日:2021-05-21

    Applicant: OneTrust, LLC

    Abstract: A mobile application privacy analysis system is described, where the system scans a mobile device to identify files associated with a particular SDK and generates a tokenized name for the SDK. The tokenized name includes tokens representing the SDK vendor and one or more functions of the SDK. Using the tokenized name, the system then determines corresponding categories for each functionality token and score for each such category. Based on the scores, the system determines the most significant category and assigns that category to the SDK for use in privacy analysis. The system may also, or instead, determine a vendor category using the vendor token and assign that category to the SDK. Weighting factors may be applied to the scores for the categories associated with the functionality tokens and vendor tokens.

    DATA PROCESSING SYSTEMS AND METHODS FOR AUTOMATIC DISCOVERY AND ASSESSMENT OF MOBILE SOFTWARE DEVELOPMENT KITS

    公开(公告)号:US20220129581A1

    公开(公告)日:2022-04-28

    申请号:US17572298

    申请日:2022-01-10

    Applicant: OneTrust, LLC

    Abstract: A mobile application privacy analysis system is described, where the system scans a mobile device to identify files associated with a particular SDK and generates a tokenized name for the SDK. The tokenized name includes tokens representing the SDK vendor and one or more functions of the SDK. Using the tokenized name, the system then determines corresponding categories for each functionality token and score for each such category. Based on the scores, the system determines the most significant category and assigns that category to the SDK for use in privacy analysis. The system may also, or instead, determine a vendor category using the vendor token and assign that category to the SDK. Weighting factors may be applied to the scores for the categories associated with the functionality tokens and vendor tokens.

    DATA PROCESSING SYSTEMS AND METHODS FOR AUTOMATIC DISCOVERY AND ASSESSMENT OF MOBILE SOFTWARE DEVELOPMENT KITS

    公开(公告)号:US20210279363A1

    公开(公告)日:2021-09-09

    申请号:US17326901

    申请日:2021-05-21

    Applicant: OneTrust, LLC

    Abstract: A mobile application privacy analysis system is described, where the system scans a mobile device to identify files associated with a particular SDK and generates a tokenized name for the SDK. The tokenized name includes tokens representing the SDK vendor and one or more functions of the SDK. Using the tokenized name, the system then determines corresponding categories for each functionality token and score for each such category. Based on the scores, the system determines the most significant category and assigns that category to the SDK for use in privacy analysis. The system may also, or instead, determine a vendor category using the vendor token and assign that category to the SDK. Weighting factors may be applied to the scores for the categories associated with the functionality tokens and vendor tokens.

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