Abstract: This disclosure provides methods, components, devices, and systems for wireless communication. Some aspects more specifically relate to dynamic path selection for wireless connectivity. An access point (AP) may receive communication link information and device status information from cellular-enabled devices in a wireless local area network (WLAN). The communication link information may indicate path metrics (such as link quality information) associated with respective connections between the cellular-enabled devices and a communication network (such as the Internet). The device status information may indicate operational metrics associated with the cellular-enabled devices (such as battery status information or cellular subscription information).

Abstract: Techniques and systems are provided for image processing. For instance, a process can include obtaining, from one or more image sensors, an image of an environment. The process can further include detecting a first visual code in the image; decoding the first visual code; verifying safety of contents of the first visual code; determining that the contents of the first visual code contain a uniform resource locator (URL); and prefetching data linked by the URL based on verifying the safety of the contents of the first visual code.

Abstract: This disclosure provides systems, methods and apparatuses for intelligent cloud-edge resource management. An end device may provide edge nodes of an edge computing system with network link information, which may enable the edge nodes to schedule and distribute task workloads more effectively, providing greater performance, power, security, and mission-critical network availability. For example, if the end device transmits a processing task request to a first edge node, the first edge node may assign the processing task to a second edge node according to the network link information. Additionally, or alternatively, the end device may transmit an indication of processing task parameters to one or more edge nodes and may receive an indication of an estimated completion time of the processing task from the one or more edge nodes. Accordingly, the end device may assign the processing task to an edge node with the lowest completion time.

Abstract: Techniques and systems are provided for image processing. For instance, a process can include obtaining, from one or more image sensors, an image of an environment. The process can further include detecting a first visual code in the image; decoding the first visual code; verifying safety of contents of the first visual code; determining that the contents of the first visual code contain a uniform resource locator (URL); and prefetching data linked by the URL based on verifying the safety of the contents of the first visual code.

Abstract: Apparatus, methods, and computer-readable media for facilitating self-managed trust in Internet-of-Things networks are disclosed herein. An example method of trust management at a network manager includes enrolling a network endpoint with a network managed by the network manager. The example method also includes receiving trusted reference information for the network endpoint based on enrolling the network endpoint. Additionally, the example method includes performing verification of the network endpoint based on at least one of the trusted reference information or an attestation received from the network endpoint. Further, the example method includes enforcing policies to the network endpoint based on a result of the verification. Such trust management may improve privacy and security at the network, as well as reduce latency in responding to trust incidents.

Abstract: Apparatus, methods, and computer-readable media for facilitating self-managed trust in Internet-of-Things networks are disclosed herein. An example method of trust management at a network manager includes enrolling a network endpoint with a network managed by the network manager. The example method also includes receiving trusted reference information for the network endpoint based on enrolling the network endpoint. Additionally, the example method includes performing verification of the network endpoint based on at least one of the trusted reference information or an attestation received from the network endpoint. Further, the example method includes enforcing policies to the network endpoint based on a result of the verification. Such trust management may improve privacy and security at the network, as well as reduce latency in responding to trust incidents.

Abstract: Techniques and systems are provided for image processing. For instance, a process can include obtaining, from one or more image sensors, an image of an environment. The process can further include detecting a first visual code in the image; decoding the first visual code; verifying safety of contents of the first visual code; determining that the contents of the first visual code contain a uniform resource locator (URL); and prefetching data linked by the URL based on verifying the safety of the contents of the first visual code.

Abstract: This disclosure provides methods, components, devices, and systems for wireless communication. Some aspects more specifically relate to dynamic path selection for wireless connectivity. An access point (AP) may receive communication link information and device status information from cellular-enabled devices in a wireless local area network (WLAN). The communication link information may indicate path metrics (such as link quality information) associated with respective connections between the cellular-enabled devices and a communication network (such as the Internet). The device status information may indicate operational metrics associated with the cellular-enabled devices (such as battery status information or cellular subscription information).

Abstract: This disclosure provides methods, components, devices, and systems for wireless communication. Some aspects more specifically relate to dynamic path selection for wireless connectivity. An access point (AP) may receive communication link information and device status information from cellular-enabled devices in a wireless local area network (WLAN). The communication link information may indicate path metrics (such as link quality information) associated with respective connections between the cellular-enabled devices and a communication network (such as the Internet). The device status information may indicate operational metrics associated with the cellular-enabled devices (such as battery status information or cellular subscription information).

Abstract: Techniques and systems are provided for image processing. For instance, a process can include obtaining, from one or more image sensors, an image of an environment. The process can further include detecting a first visual code in the image; decoding the first visual code; verifying safety of contents of the first visual code; determining that the contents of the first visual code contain a uniform resource locator (URL); and prefetching data linked by the URL based on verifying the safety of the contents of the first visual code.

Abstract: This disclosure provides systems, methods and apparatuses for intelligent cloud-edge resource management. An end device may provide edge nodes of an edge computing system with network link information, which may enable the edge nodes to schedule and distribute task workloads more effectively, providing greater performance, power, security, and mission-critical network availability. For example, if the end device transmits a processing task request to a first edge node, the first edge node may assign the processing task to a second edge node according to the network link information. Additionally, or alternatively, the end device may transmit an indication of processing task parameters to one or more edge nodes and may receive an indication of an estimated completion time of the processing task from the one or more edge nodes. Accordingly, the end device may assign the processing task to an edge node with the lowest completion time.

Abstract: Apparatus, methods, and computer-readable media for facilitating self-managed trust in Internet-of-Things networks are disclosed herein. An example method of trust management at a network manager includes enrolling a network endpoint with a network managed by the network manager. The example method also includes receiving trusted reference information for the network endpoint based on enrolling the network endpoint. Additionally, the example method includes performing verification of the network endpoint based on at least one of the trusted reference information or an attestation received from the network endpoint. Further, the example method includes enforcing policies to the network endpoint based on a result of the verification. Such trust management may improve privacy and security at the network, as well as reduce latency in responding to trust incidents.

Abstract: Methods, apparatus, and computer program products for controlling access to an electronic device based on biometric input are described. An example of such a method includes receiving a current biometric input, determining template similarity scores for the current biometric input, if at least one template similarity score satisfies a template similarity score criterion, then updating a false user counter value in a first numerical direction and performing an authentication process on the current biometric input, else, determining stored biometric input similarity scores for the current biometric input, if at least one stored biometric input similarity score satisfies a stored biometric input similarity score criterion, then maintaining the false user counter value, else, replacing a previously stored biometric input with the current biometric input, and updating the false user counter value in a second numerical direction opposite to the first numerical direction.

Abstract: Various embodiments of methods and systems for proactive resource allocation and configuration are disclosed. An exemplary method first compiles and links a profile instrumented application with a compiler comprising a profile guided optimization feature that inserts calls to a profiler runtime. The profile instrumented application is executed on a target device using one or more workload datasets representative of probable workloads. During execution, based on recognition of the inserted calls, an instrumentation-based profile dataset is generated in association with each of the one or more workload datasets. Next, the profile instrumented application is recompiled and relinked based on the instrumentation-based profile datasets to create a set of profile guided optimizations to the source code, thereby resulting in an optimized application.

Abstract: Methods, apparatus, and computer program products for providing security for an electronic device are described. An example of a method includes monitoring, by the electronic device, a status of the electronic device for one or more threats to a security of the electronic device, detecting, by the electronic device, the one or more threats to the security of the electronic device based on the status of the electronic device and on one or more security policies associated with the electronic device, and self-enforcing, by the electronic device, the one or more security policies by implementing one or more targeted security actions, as indicated by the one or more security policies, to selectively alter the status of the electronic device, based on the detected one or more threats to the security of the electronic device.

Abstract: Methods, systems and devices for generating data models in a client-cloud communication system may include applying machine learning techniques to generate a first family of classifier models that describe a cloud corpus of behavior vectors. Such vectors may be analyzed to identify factors in the first family of classifier models that have the highest probability of enabling a mobile device to better determine whether a mobile device behavior is malicious or benign. Based on this analysis, a second family of classifier models may be generated that identify significantly fewer factors and data points as being relevant for enabling the mobile device to better determine whether the mobile device behavior is malicious or benign based on the determined factors. A mobile device classifier module based on the second family of classifier models may be generated and made available for download by mobile devices, including devices contributing behavior vectors.

Abstract: A system, methods and server for creating and using manifests to support the rendering of a webpage by a computing device. Multiple computing devices may render a webpage and generate meta data. A server may collect and use the meta data to generate a manifest. The manifest may provide information describing priorities and formats for loading the resources of the webpage. The computing device may transmit information to the server for comparison with the manifest and to determine priorities and formats for retrieving the resources of the webpage. The server may request and send the webpage resources to the computing device based on the manifest information, to which the computing device may render the webpage. The server may access the webpage and generate meta data to create the manifest. The server may alternatively send the manifest information to the computing device.

Abstract: A mobile device may include a plurality of sensors and a processor. The processor may be configured to determine trust data for an asset based upon inputs from the plurality of sensors, determine whether an asset is accessible or not accessible based upon evaluating the trust data with a trust determination algorithm, and continuously update the trust data to continue to allow access to the asset or revoke access to the asset based upon the inputs from the plurality of sensors.

Abstract: Methods, apparatus, and computer program products for controlling access to an electronic device based on biometric input are described. An example of such a method includes receiving a current biometric input, determining template similarity scores for the current biometric input, if at least one template similarity score satisfies a template similarity score criterion, then updating a false user counter value in a first numerical direction and performing an authentication process on the current biometric input, else, determining stored biometric input similarity scores for the current biometric input, if at least one stored biometric input similarity score satisfies a stored biometric input similarity score criterion, then maintaining the false user counter value, else, replacing a previously stored biometric input with the current biometric input, and updating the false user counter value in a second numerical direction opposite to the first numerical direction.

Abstract: Various embodiments of methods and systems for proactive resource allocation and configuration are disclosed. An exemplary method first compiles and links a profile instrumented application with a compiler comprising a profile guided optimization feature that inserts calls to a profiler runtime. The profile instrumented application is executed on a target device using one or more workload datasets representative of probable workloads. During execution, based on recognition of the inserted calls, an instrumentation-based profile dataset is generated in association with each of the one or more workload datasets. Next, the profile instrumented application is recompiled and relinked based on the instrumentation-based profile datasets to create a set of profile guided optimizations to the source code, thereby resulting in an optimized application.