Abstract: A system that intelligently traces and identify sensitive data, tracks the flow of the sensitive data and is able to quickly and accurately identify privacy compliance issues. Tracing agents installed in a monitored system intercept API requests and responses, store the data, and process the data. Processing the data may include grouping APIs based on type and identifying user sessions. Baseline activity of a valid user is determined based on the analyze request and response data, and blocking rules can be applied at each individual tracing agent. The blocking rules can prevent unauthorized transmission of sensitive data, privacy violations, unauthorized users, and other improper access to data. The blocking rules may block all or a portion of an API request or response.

Abstract: With MR-DC, UE is connected to both MCG and SCG. When an MCG handover failure occurs, there is a defined method to categorize the handover failures and take corrective actions, however, for SCG handover failures, there are no defined categorizations and corresponding corrective actions currently available. The current method facilitates identification and categorization of SCG handover failures to be categorized as too early, too late and wrong cell handovers. By fine-tuning the handover parameters (based on the SCG handover failure type) SCG handover failure rates would be reduced significantly.

Abstract: The present invention provides a method for performing analysis on crowdsource data using mobile devices. The method comprises the steps of receiving a query specific function, pushing one or more instances of the query specific function for execution to a set of mobile devices, triggering one or more instances of the query specific function to generate one or more crowdsource data sets associated with the set of mobile devices receiving the one or more crowdsource data sets and analyzing the one or more crowdsource data sets according to the query specific function.