Abstract: An Internet of Things (IoT) device is deployed with embedded software. A debug client device stores an end-to-end encryption key that corresponds to an end-to-end encryption key stored on the IoT device. The debug client encrypts a debug instruction using the end-to-end encryption key and encrypts additional data using a point-to-point encryption key. The encrypted debug instruction and the encrypted additional data are sent to a debug server over a network. The debug server decrypts the additional data and identifies the IoT device from among multiple IoT devices. The debug server generates a message to the IoT device including the encrypted debug instruction, encrypts the message, and transmits the message to the IoT device. The IoT device decrypts the message using a first decryption key associated with the debug server, retrieves the encrypted message payload, and decrypts the message payload using the stored end-to-end encryption key.

Abstract: A network service management method in which a network management unit obtains information about a target network service, where the information about the target network service includes an identifier of the target network service and requirement information of the target network service. The network management unit obtains an identifier of a network based on the requirement information of the target network service, where the network meets the requirement information of the target network service. The network management unit configures an association relationship between the identifier of the target network service and the identifier of the network, or the network management unit configures the identifier of the target network service in management information of the network, or the network management unit configures the identifier of the network in management information of the network service.

Abstract: A system for providing memory access is disclosed. In some embodiments, the system is configured to receive at a source server fabric adapter (SFA), from a server, a memory access request comprising a virtual memory address; using associative mapping, determining whether the virtual address corresponds to a source-local memory associated with the source SFA or to a remote memory. If the virtual address corresponds to the source-local memory, the virtual memory address is translated, at the source SFA, into a physical memory address of the source-local memory. If the virtual address corresponds to the remote memory, a request message is synthesized, and the synthesized request message is transmitted to the destination SFA using a network protocol.

Abstract: The present disclosure relates to systems and methods for distributing decentralized compute resources. Compute resource metadata that identifies a set of decentralized compute resources can be received. A request to use one or more compute resources can be received. A digital twin can be generated. The digital twin can facilitate identification of a particular compute resource, and the digital twin can be representative of potential interactions between a receiver entity and a set of provider entities. An interaction can be initiated between the receiver entity and a particular provider entity. The interaction may involve allocating the particular compute resource from the particular provider entity to the receiver entity in response to the request.

Abstract: A component (e.g. a module configuration system) of a device may include an interface and processor circuitry. The processor circuitry may be configured to: determine identification information of a hardware device (e.g. module, microchip) connected to the component via the interface; obtain device information for the connected hardware device based on the determined identification information; and initialize the connected hardware device based on the obtained device information.

Abstract: Various example embodiments for supporting communication network management may be configured to support communication network management based on various policies which may include one or more static rule-based policies (e.g., a rule-based resource management policy) and one or more machine learning (ML) based policies (e.g., an ML-based resource management policy). Various example embodiments for supporting communication network management may be configured to support communication network management based on evaluation and selection of policies to be applied for supporting communication network management. Various example embodiments for supporting communication network management may be configured to support communication network management based on regulation of network management actions generated based on selected policies before application of the network management actions to the communication network.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for improving remote direct memory access (RDMA) performance. A method for improving RDMA performance occurs at an RDMA node utilizing a user space and a kernel space for executing software. The method includes posting, by an application executing in the user space, an RDMA work request including a data element indicating a plurality of RDMA requests associated with the RDMA work request to be generated by software executing in the kernel space; and generating and sending, by the software executing in the kernel space, the plurality of RDMA requests to or via a system under test (SUT).

Abstract: There is provided a method for assessing network performance. The method includes acquiring network measurements indicative of any changes in a network following a change to a configuration of the network and data indicative of one or more factors capable of causing the changes in the network. The one or more factors are independent of the change to the configuration of the network. The method includes analysing the acquired network measurements and data to identify a contribution of the one or more factors to a key performance indicator (KPI) and a contribution of the change to the configuration of the network to the KPI. The KPI is predicted by a machine learning model and is a measure of the network performance following the change to the configuration of the network.

Abstract: A terminal for performing an onboarding procedure for remote provisioning through steps of: receiving an onboarding enabled indication from at least one onboarding network; selecting an onboarding network based on the onboarding enabled indication and onboarding network selection information; and attempting registration for the selected onboarding network is provided.

Abstract: A method of traffic shaping on an adaptive modulation and coding (AMC) data link may include, with a traffic shaping configuration agent, fetching from a neighbor routing table stored on a network interface card (NIC) data defining a first modulation of a data link and a first physical layer data transmission rate associated with a first media access control (MAC) address. The traffic shaping configuration agent may further identify a first maximum achievable goodput for the first modulation and the first physical layer data transmission rate and reconfigure an operating system (OS) traffic shaping implementation based on the first maximum achievable goodput.

Abstract: A high assurance system provides for communication between trusted user devices with auxiliary adaptation for augmenting communication security across an untrusted environment. First and second main encrypting devices coupled to respective trusted user devices are cryptologically tethered to one another by a main communication link established across the untrusted environment between trusted user devices in cryptologically protected manner. An auxiliary encrypting device is cryptologically tethered to the first main encrypting device by an auxiliary communication link established across the untrusted environment between a trusted auxiliary device and one trusted user device in cryptologically protected manner. The main and auxiliary encrypting devices define portals traverse trust boundaries between trusted and untrusted environments, each including at least one encryption unit and a communication unit coupled thereto by a connectionless interconnect.

Abstract: The DISTRIBUTIVE ON-DEMAND ADMINISTRATIVE TASKING APPARATUSES, METHODS AND SYSTEMS (“DODAT™ embodiments”), in many embodiments, transform ticket and user inputs via DODAT™ components into payment and work product outputs.

Abstract: A process for providing requests to a management application in a multi-tenant environment is described herein. In embodiments, a broker client is deployed within a tenant execution environment executed by a server computer system. In embodiments, the broker client is configured to communicate with a broker responsible for managing the tenant execution environment based on configuration information. Furthermore, in various embodiments, request to perform operations associated with the tenant execution environment are transmitted to the broker client over a connection and the broker client provides the request to the broker for execution.

Abstract: Techniques for using global virtual network instance (VNI) labels in a multi-domain network to route network data with a multi-tenant network overlay are described herein. A routing device provisioned in a network domain of the multi-domain network may register with a service discovery system of the network domain for use of network configuration data to establish routes through the multi-domain network with network nodes. Each network domain of the multi-domain network may include an application programming interface (API) server for processing API requests to make changes to configurations of a network domain. A border gateway protocol (BGP) large community may be utilized to encode global VNI labels, network addresses, local next hop nodes, and/or additional network information and sent to routing devices provisioned in separate network domains. A service chain may be signaled by global VNI labels to route network traffic through various services prior to reaching a destination endpoint.

Abstract: An edge device for distributed processing of unprocessed edge data from any number of edge data collection devices using an analytics framework includes a storage device for storing the unprocessed edge data; and a processor. The processor obtains the unprocessed edge data from an edge data collection device of the edge data collection devices; identifying a processing modality for the unprocessed edge data; processing the unprocessed edge data based on the processing modality using, at least in part, a virtualized desktop infrastructure connection between the edge device and a backend device operably connected to the analytics framework to obtain a processed edge data result; and providing a computer implemented service using the processed edge data result.

Abstract: Methods of managing a fleet of devices are provided, as are methods for configuring a standby device for a job in a workflow environment, and methods for performing a job in a workflow environment. Device information is analyzed, such as information pertaining to verification systems. Device instructions are sent to various locations on a device network in response to a deviation from a parameter value having been detected. The deviation from the parameter value may correspond to printed media and/or indicia produced by one or more devices. A workflow device and a standby device are provided, and the workflow device sends configuration data to the standby device. The standby device installs configuration data and is introduced into the workflow environment.

Abstract: Systems, methods, and devices that relate to an inspection system deployed in a core network. The inspection system includes one or more inspection agent nodes located close to an edge of the core network configured to generate one or more network reports based on information from one or more access nodes. An inspection manager node is in communication with the one or more inspection agent nodes to receive one or more network reports from the one or more inspection agent nodes, derive an actual network behavior of the one or more access nodes based on the one or more network reports, detect a discrepancy between an expected network behavior and the actual network behavior, and trigger a reconfiguration of at least one of the one or more access nodes based on the discrepancy.

Abstract: Described is a method performed by a computing device for controlling home network system associated with a plurality of Wi-Fi communicating devices, the method comprising: analyzing operational data associated with the plurality of Wi-Fi communicating devices, the operational data collected from plurality of Wi-Fi communicating devices; providing (or generating) recommendations for improving performance of the home network system according to the analyzed operational data; correlating the recommendations into groups; and aggregating the recommendations from the groups to generate unified recommendations for improving the home network system.

Abstract: A system for pre-authenticating a user device to navigate through virtual operation areas comprises a processor associated with a server. The processor accesses a virtual environment and receives an interaction request from the user device for an interaction session. The processor determines a set of virtual operation areas in a virtual environment based on the interaction request. The processor generates a corresponding meta-profile associated with a user profile by mapping each pre-authentication token associated with the user device from a corresponding physical location to a corresponding virtual operation area. The processor generates an avatar associated with the user device and associates the avatar to the meta-profile and a set of pre-authentication tokens for the avatar to access the virtual operation areas.

Abstract: The disclosed computer-implemented method for dynamically classifying browser fingerprinting into user tracking and cloaking may include identifying, by a computing device, one or more website scripts as one or more candidates for cloaking based on function hooking and execution attribution. The method may additionally include identifying, in response to the identification of the one or more candidates for cloaking, at least one of the candidates for cloaking that lacks a direct connection to fingerprinting based on the function hooking and the execution attribution. The method may also include classifying, in response to the identification of the at least one of the candidates for cloaking that lacks a direct connection to fingerprinting, the at least one of the candidates for cloaking based on a hierarchical analysis. The method may further include performing a security action based on the classification. Various other methods, systems, and computer-readable media are also disclosed.