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.

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.

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.

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.

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.

Abstract: A method and system remotely manage a Mobile Equipment (ME). All the different service provider DM servers interconnected with each other to perform data recovery and locking operations in the ME. The DM servers of multiple service providers collaborate and provide interoperable services to the connected mobile equipments.

Abstract: A method and apparatus for managing Internet Connection Sharing (ICS) in a primary mobile device are provided. The method includes establishing a device management session with a service provider; receiving an Internet connection-sharing criterion from the service provider; and checking the Internet connection-sharing criterion upon receiving an Internet connection sharing request from a peer mobile device.

Abstract: A method and system remotely manage a Mobile Equipment (ME). All the different service provider DM servers interconnected with each other to perform data recovery and locking operations in the ME. The DM servers of multiple service providers collaborate and provide interoperable services to the connected mobile equipments.

Abstract: A method and apparatus for managing Internet Connection Sharing (ICS) in a primary mobile device are provided. The method includes establishing a device management session with a service provider; receiving an Internet connection-sharing criterion from the service provider; and checking the Internet connection-sharing criterion upon receiving an Internet connection sharing request from a peer mobile device.