Abstract: The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

Abstract: A networked lighting control system having the capability to identify problems within its own wireless network. The system includes a plurality of luminaire nodes. Each luminaire receives, via a wireless mesh network, a series of messages containing an output control indication. The indication represents a “delta” value, which the luminaire uses, for each received message, to generate a control signal to increase the light output of its lamp by a known amount. The luminaire transmits a series of messages containing the output control indication, wherein each transmitted message corresponds to each message that had been received by the luminaire. After a series of such “delta” messages have been originated and broadcast over the mesh network, the luminaires that failed to receive some of the messages will appear dimmer than the luminaires that received all, or more of, the messages, providing a visualization of signal propagation problems.

Abstract: Various systems and methods for implementing an edge computing system to realize 5G network slices with blockchain traceability for informed 5G service supply chain are disclosed. A system configured to track network slicing operations includes memory and processing circuitry configured to select a network slice instance (NSI) from a plurality of available NSIs based on an NSI type specified by a client node. The available NSIs uses virtualized network resources of a first network resource provider. The client node is associated with the selected NSI. The utilization of the network resources by the plurality of available NSIs is determined using an artificial intelligence (AI)-based network inferencing function. A ledger entry of associating the selected NSI with the client node is recorded in a distributed ledger, which further includes a second ledger entry indicating allocations of resource subsets to each of the NSIs based on the utilization.

Abstract: A method supports service level agreement monitoring in a software defined network. The software defined network has forwarding elements and a software defined network controller for controlling the forwarding elements. Data flows are transmitted between a first end-path forwarding element, of the forwarding elements, and a second end-path forwarding element, of the forwarding elements, via at least one intermediate forwarding element, of the forwarding elements. The software defined network controller configures the intermediate forwarding element such that a probe triggering packet is generated based on local information of the intermediate forwarding element. The software defined network controller configures at least one of the first end-path forwarding element or the second end-path forwarding element such that an end-to-end probing is triggered based on receiving the probe triggering packet. The end-to-end probing is performed in order to detect a service level agreement violation.

Abstract: An Internet of Things device is herein disclosed. The Internet of Things device comprises a communication module operable to connect to a network, a memory storing a device fingerprint having a plurality of predetermined system parameters, a processor coupled to the memory and operable to execute instructions stored in the memory, and an activity module, including at least one of a sensor and a control device, the activity module under control of the processor, to perform a predetermined operation with at least one of the sensor and the control device. The activity module communicates on the network via the communications module. The processor measures system parameters during performance of the predetermined operation, compares measured system parameters to predetermined system parameters of the device fingerprint, and disables the communications module, the processor, or the activity module responsive to the measured system parameters being out of compliance with the predetermined system parameters.

Abstract: The described technology is generally directed towards a transport protocol for latency sensitive applications. The disclosed transport protocol is “semi-reliable” in that it allows for specification of an importance of data being transmitted, thereby allowing important data to be sent reliably, while other data can be dropped if necessary, e.g., under bad network conditions. A deadline can be specified for such other data, and if the other data cannot be sent prior to the deadline, it can be dropped. Furthermore, the disclosed transport protocol can allow for early discovery of network jitter. A client device can send regular acknowledgments which identify most recently received data packets as well as a number of “heartbeat transmissions” received at the client device. A server device can use the acknowledgments to discover and respond to jitter.

Abstract: A system and method for real-time discovery and monitoring of multidimensional topology models describing structural aspects of applications and of computing infrastructure used to execute those applications is disclosed. Different types of agents are deployed to the monitored application execution infrastructure dedicated to capture specific topological aspects of the monitored system. Virtualization agents detect and monitor the virtualization structure of virtualized hardware used in the execution infrastructure, operating system agents deployed to individual operating systems monitor resource utilization, performance and communication of processes executed by the operating system and transaction agents deployed to processes participating in the execution of transactions, providing end-to-end transaction trace and monitoring data describing individual transaction executions.

Abstract: A disclosed computer-implemented method may include receiving a request to generate a dating profile for a user of a community-based dating service of a social networking system based on information associated with the user and maintained by the social networking system. The method may also include accessing information associated with the user and maintained by the social networking system. The method may additionally include selecting, from the information associated with the user and maintained by the social networking system (1) a set of contextual information associated with the user, and (2) a set of media items associated with the user. The method may further include generating the dating profile for the user by arranging the set of contextual information and the set of media items within a dating interface of the social networking system. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A processor may identify an action of a first device of the IoT devices. The processor may initiate a transfer from the first device to one or more other devices of the IoT devices. The processor may pause each thread being executed by the first device and the one or more other devices. The processor may transfer a unit from the first device to the one or more other devices.

Abstract: Techniques for dynamic content delivery network (CDN) selection using the domain name service (DNS) protocol are described. A DNS resolver utilizes a network identifier provided within a DNS query seeking to resolve a domain to select between different CDNs. The selection can be based on an analysis of network metric summary data corresponding to the CDNs from the perspective of an approximate location of the requesting client, as determined via the network identifier as a proxy. The selection process and involved network metric types can be configured by the user associated with the domain via a selection policy. Network metrics can be provided by the user or collected based on reported data generated by remote clients through provided metric-generating code, and thereafter transformed into network metric summary data that is used for resolution.

Abstract: A method for configuring multiple electronic devices in a batch, is described. The method can include initializing, by a first computing device a communication network based on a pre-defined configuration parameter. The pre-defined configuration parameter is associated with a first instance of an application on the first computing device. Further, the method includes identifying, by the first computing device, an initialization of a second instance of an application at a second computing device. In response to identifying the initialization of the second instance of the application at the second computing device, the method includes, sending, by the first computing device configuration settings for the second computing device over a secured communication network. In this regard, the configuration settings can comprise at least the pre-defined configuration parameter for configuring the second computing device.

Abstract: Systems and techniques for defining and operating management services within a “domain” portion of an Internet of Things (IoT) network are disclosed herein. An example technique for implementing management functions of a device in a domain of the IoT network, for a device that is a defined within a hierarchy managed in the domain, may include: defining a resource structure in a secure virtual resource of the device, for a resource structure that identifies and defines at least one management service of the device; establishing properties of the at least one management service resource on the device within a resource structure, with the use of properties that are associated with a management function to be performed in the domain; and operating the device in the domain according to the management function. Further integration and use of management services and other management functions are also disclosed.

Abstract: A method monitors an industrial network. The industrial network is divided into at least two hierarchical levels each with a different hierarchical stage. At least one network component is respectively included for each hierarchical level. Each hierarchical level has at least one segment. Each segment comprises at least one network component of the respective hierarchical level. At least one component monitoring unit for monitoring at least one network component in the respective segment and/or at least one communication monitoring unit for monitoring communication in the respective segment is/are respectively included for each segment. A central monitoring unit is included in one of the segments in order to evaluate information for detecting attacks. At least one decentralized monitoring unit is respectively included in at least one of the other segments.

Abstract: Techniques for dynamic content delivery network (CDN) selection using the domain name service (DNS) protocol are described. A DNS resolver utilizes a network identifier provided within a DNS query seeking to resolve a domain to select between different CDNs. The selection can be based on an analysis of network metric summary data corresponding to the CDNs from the perspective of an approximate location of the requesting client, as determined via the network identifier as a proxy. The selection process and involved network metric types can be configured by the user associated with the domain via a selection policy. Network metrics can be provided by the user or collected based on reported data generated by remote clients through provided metric-generating code, and thereafter transformed into network metric summary data that is used for resolution.

Abstract: Provided are systems and methods for configuring a network servicing node with user-defined instruction scripts. A method for configuring a network servicing node with user-defined instruction scripts may commence with receiving, from a user of the network servicing node, a user loadable program. The user loadable program may include at least the user-defined instruction scripts. The method may continue with receiving a data packet from a data network associated with the user. The method may further include determining a condition associated with the data packet. The method may continue with identifying, in a name table, a program name associated with a program using the condition. The program may be the user loadable program. The method may further include processing the data packet by getting an instruction of the user-defined instruction scripts from a storage module and applying the instruction to the data packet.

Abstract: A method for detecting attacks on a network component of an industrial network uses a component monitoring unit integrated in the network component. The component monitoring unit has at least one checking module for performing a check on the network component and a communication module for the component monitoring unit to communicate with at least one further network component of the industrial network. The component monitoring unit further has a management module for managing a communication between the at least one checking module and the communication module. When a predetermined criterion is satisfied, the at least one checking module collects and/or evaluates information concerning the network component and/or concerning the satisfied criterion for the purpose of checking the network component.

Abstract: In one embodiment, a labeling service receives telemetry data for a cluster of endpoint devices in a first network environment. The endpoint devices in the cluster are clustered by a device classification service based on their telemetry data and labeled by a device type classifier of the device classification service as being of an unknown device type. The labeling service obtains a first device type label for the cluster of endpoint devices via a first user interface. The labeling service identifies one or more other network environments in which endpoint devices are located that have similar telemetry data as that of the cluster of endpoint devices. The labeling service obtains device type labels for the cluster of endpoint devices via a selected set of user interfaces from the identified one or more other network environments.

Abstract: The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain respective instances of verification information can be obtained from computing systems associated with a plurality of third-party vendors, wherein a computing system associated with a third-party vendor determines verification information based at least in part on an analysis of an identification document provided by a user to be authenticated. The respective instances of verification information can be interpreted, wherein interpreting an instance of verification information comprises assigning respective states to attribute fields included in the verification information. A set of interpreted instances of verification information can be evaluated in combination to determine whether to authenticate the user, wherein the set includes an interpreted instance of verification information from each of the plurality of third-party vendors.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprise an analytic server, which improves security of a system. The analytic server may monitor the system by retrieving status information from various devices within the system. The analytic server may generate an attack tree model based on a set of aggregation rules that are configured based on the monitored status information. The analytic server may detect one or more attacks by associating the status information with corresponding nodes of the attack tree model and executing a logic of the attack tree model. The analytic server may determine aggregated impact and risk metrics and calculate an impact score for each attack based on aggregated impact and risk metrics. The analytic server may generate reports comprising the one or more attacks ranked based on the impact scores. The analytic server may respond to one or more attacks by taking automated actions.