Abstract: There is disclosed in one example a computer apparatus, including: a hardware platform including a central processor unit (CPU) and a memory; and instructions encoded within the memory to instruct the CPU to: enumerate a plurality of running processes, and associate resource demands with the running processes; predict a resource starvation condition for at least one process; rank the plurality of running processes according to a dynamic ranking algorithm, wherein the ranking algorithm includes user engagement as an input for ranking a process; and according to the ranking and a safeguard algorithm, deallocate resources from a process ranked lower than the at least one process and assign the deallocated resources to the at least one process to mitigate the predicted resource starvation condition.

Abstract: The present disclosure relates to a system and method for providing a service on a wearable device where the wearable device is limited in its functionality in some way when compared with a companion device. In particular, the disclosure describes use cases for configuring the wearable device, and use cases for configuring a wearable device and performing service application functions on the wearable device while leveraging a companion device.

Abstract: A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.

Abstract: An apparatus, related devices and methods, having a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to monitor software and hardware parameters on an electronic device that includes an application designated as a preferred application; determine whether the preferred application is running; detect a change in software or hardware parameters that indicates to reallocate resources to the preferred application; and apply, based on detecting the change in software or hardware parameters, an optimization policy that reallocates resources to a process associated with the preferred application.

Abstract: There is disclosed in one example a computer apparatus, including: a hardware platform including a central processor unit (CPU) and a memory; and instructions encoded within the memory to instruct the CPU to: enumerate a plurality of running processes, and associate resource demands with the running processes; predict a resource starvation condition for at least one process; rank the plurality of running processes according to a dynamic ranking algorithm, wherein the ranking algorithm includes user engagement as an input for ranking a process; and according to the ranking and a safeguard algorithm, deallocate resources from a process ranked lower than the at least one process and assign the deallocated resources to the at least one process to mitigate the predicted resource starvation condition.

Abstract: A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.

Abstract: A technique includes providing real-time collective and collaborative navigation for one or more users to navigate to a destination. Each computing device associated with a member includes navigation objects that is pooled in a server and updated on each client device of users as one or more users navigate to a destination. A set of navigation objects may be created and distributed to the members within the group for the session, whereby the navigation objects are data structures that may be managed by a server. Based on a contextual trigger, the navigation object may be created or modified and used to provide a context to the navigation session. Navigation objects may continuously analyze user context and user situations to detect anomalies for one or more members in the group.

Abstract: A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.

Abstract: Code of a particular application is analyzed against a semantic model of a software development kit of a particular platform. The semantic model associates a plurality of application behaviors with respective application programming interface (API) calls of the particular platform. A set of behaviors of the particular application is identified based on the analysis of the code and a particular one of the set of behaviors is identified as an undesired behavior. The particular application can be automatically modified to remediate the undesired behavior. The particular application can be assigned to one of a plurality of device modes, and access to the particular application on a user device can be based on which of the plurality of device modes is active on the user device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; an operating system including a priority architecture; a multi-process web browser; and a browser optimizer agent including instructions encoded within the memory to instruct the processor to: inspect a process of the web browser; determine from the inspection that resource utilization for the process can be improved, and adjust resource priority via the operating system to improve resource utilization for the process.

Abstract: The present disclosure relates to a system and method for providing a service on a wearable device where the wearable device is limited in its functionality in some way when compared with a companion device. In particular, the disclosure describes use cases for configuring the wearable device, and use cases for configuring a wearable device and performing service application functions on the wearable device while leveraging a companion device.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.

Abstract: The present disclosure relates to a system and method for providing a service on a wearable device where the wearable device is limited in its functionality in some way when compared with a companion device. In particular, the disclosure describes use cases for configuring the wearable device, and use cases for configuring a wearable device and performing service application functions on the wearable device while leveraging a companion device.

Abstract: A technique for collecting and using signal reputation data, comprising obtaining a plurality of signal reputation data corresponding to a plurality of locations, categorizing the signal reputation data into groups, calculating signal circles for at least some of the groups based on a representative signal value for the corresponding group, calculating a signal reputation score for each signal circle, determining a best signal circle for a user mobile device within a predetermined distance of dead zones, and sending the best signal circle to the user mobile device based at least in part on the signal reputation score and a location of the user mobile device. In some embodiments, the technique may include some but not all of these actions and additional actions, such as suspending obtaining signal reputation data based on battery status.

Abstract: A safety event is determined as affecting a user based at least in part context data collected at a user device associated with the user. In some aspects, context data is detected from sensors on the client device, the context data describing a present context of the user. A deviation of the present context from a historical context is determined to be beyond a threshold. Determining that the deviation is beyond the threshold can be determined to correspond to a safety event potentially jeopardizing safety of the user. In some aspects, an action can be launched in response to determining the safety event.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to verify application permission safety.

Abstract: There is disclosed in one example a remediation server including: a hardware platform, including a processor, a memory, and a network interface; and instructions encoded within the memory to instruct the processor to: receive an application binary; create an application logic model of the application binary; and create personalization rules for the application binary based on the application logic model.

Abstract: According to one example, a system and method are disclosed for malware and grayware remediation. For example, the system is operable to identify applications that have some legitimate behavior but that also exhibit some undesirable behavior. A remediation engine is provided to detect malware behavior in otherwise useful applications, and allow the useful parts of the application to run while blocking the malware behavior. In an example method of “healing,” this may involve modifying the application binary to remove undesirable behavior. In an example method of “personalization,” this may involve inserting control hooks through the operating system to prevent certain subroutines from taking effect.

Abstract: The present disclosure relates to a system and method for providing a secure context exchange cloud service which enables context information to be shared among devices, and providing a safety application which utilizes the context information being shared. In one example, the context exchange cloud service provides secure exchange of the context information, which in turn enables a safety application to enhance personal safety.