Abstract: Disclosed are systems and methods for proactive service health detection. An example method may include receiving, by a first computing system, first data associated with a first application at a first time and second data associated with the first application at a second time. The example method may also include receiving an indication of an anomaly associated with the first application at the second time. The example method may also include comparing, by a first natural language processing model on the first computing system, the second data and the first data. The example method may also include determining, by the first natural language processing model and based on the comparison, a first difference indicative that a portion of the first data is different than a same portion of the second data. The example method may also include receiving third data associated with the first application.

Abstract: A system, method and computer-readable medium for providing comprehensive security to business systems by distributing the security for accessing the business systems across databases at a plurality of locations. The distributed security simplifies security maintenance and is used to control all aspects of a business. The generation of bills, pings converter boxes, schedules pay per view, etc. are handled by the distributed security.

Abstract: This disclosure describes systems, methods, and devices related to network outage management. A method may include receiving, by a cloud-based system, a first indication of a first cable system outage; instantiating, by the cloud-based system, a first computing instance associated with generating event data indicative of the first cable system outage; instantiating, by the cloud-based system, a second computing instance associated with a machine learning model; generating, by the cloud-based system, using the event data as inputs to the machine learning model, a score indicative of a probability that the first cable system outage is repairable by a technician; and refrain from sending, by the cloud-based system, based on a comparison of the score to a score threshold, the event data to a first system associated with repairing the first cable system outage.

Abstract: This disclosure describes systems, methods, and devices related to providing smart communication networks using asset information in a supply chain environment. Techniques described herein may relate to collecting real-time asset tracking data for an asset, detecting an event associated with the asset, identifying two or more users to add to a smart communications groups based on historical user interactions and historical tracking data, and creating an asset-centric smart communications groups with the identified two or more users.

Abstract: This disclosure describes systems, methods, and devices related to coordinating the exchange of information relating to the delivery of assets (e.g., packages, freight, supplies, parts, materials, raw goods, inventory, tools, and equipment) in a supply chain or inventor management context. A status token may be provided to an unauthorized user, wherein the status token is initialized in an invalid state. Attempts to query status information while the status token may be denied and/or convey no information regarding the status of the asset. If an adverse condition occurred during a designated time period, status information for the asset may be provided.

Abstract: Media access control address rotation is provided. An access point associates with a station using a first media access control address. The access point receives an indication from the station that the station supports media access control address during association. The access point initiates the media access control address change. The access point receives a first upstream packet from the station using a second media access control address. The access point sends a first downstream packet to the station using the second media access control address.

Abstract: Aspects of the present disclosure provide for adaptively allocating processing operations according to an edge-only processing mode, a hybrid edge-cloud processing mode, and/or cloud-only processing mode, but are not so limited. In one aspect, the disclosure describes adaptively managing processing of applications or application modules by using machine learning in part to direct how the processing operations are to be performed whether using edge-only resources, hybrid edge-cloud resources, and/or cloud-only resources. Other aspects are described in detail herein.

Abstract: A Mobile Virtual Network Operator (MVNO) network utilizes MNVO-controlled equipment to control generation of public-private key pairs, provisioning of user devices using a public-private key pair, and authenticating user devices requesting access to an MVNO network using the public-private key pair. When the mobile user device requests access to an MVNO network, an MNVO-controlled authentication server requests an encrypted Subscriber Identity Mobile (SIM)-based identity from the user device and uses a key to decrypt the SIM-based identity as part of determining whether to grant MVNO network access to the user device. Encrypted SIM-based identities enable an MVNO to rely on MVNO-controlled equipment when authenticating user devices to access MVNO network without the additional message overhead accumulated when an MNO mobile core is required to determine whether to grant access to user devices.

Abstract: A method performed in real-time includes receiving and storing time-based data over a specific time period and dividing the specific time period into a plurality of time windows. The method further includes determining that data associated with two or more proximate time windows are within a predetermined variance of one another and responsive to the determination: generating a mathematical function representative of the data associated with the two or more proximate time windows, deleting the data associated with the two or more proximate time windows, and generating a representation of the deleted data from the mathematical function. In certain embodiments, the data comprises empirical network telemetry data.

Abstract: This disclosure describes systems, methods, and devices related to programmatically updating the status of assets tracked in a supply chain environment. A system may be configured to obtain first sensor data collected from a first tracking device associated with a first asset, determine asset workflow information associated with the first asset, determine an intelligence engine configured to generate an inference of a status associated with the first asset, determine the status associated with the first asset, wherein the status is determined by the intelligence engine based on the first sensor data and the asset workflow information, and store the status of the first asset in an asset tracking database.

Abstract: This disclosure describes systems, methods, and devices related to providing real-time response strategies in a supply chain. A system may be configured to obtain first sensor data collected from a first tracking device associated with a first asset, determine a first set of external data associated with the first asset, determine, based at least in part on the first sensor data and the first set of external data, a probability of failure and a mode of failure, and responsive to a determination that the probability of failure exceeds a failure threshold: determine a mitigation for the mode of failure that is available based at least in part on the first sensor data and the first set of external data, determine one or more real-world actions corresponding to the mitigation that, if performed, remediate the mode of failure, and cause the one or more real-world actions to be performed.

Abstract: An MVNO utilizes MNVO-controlled equipment to control generation of public-private key pairs, provisioning of user devices using a public-private key pair, and authenticating user devices requesting access to an MVNO network using the public-private key pair. An MNVO-controlled provisioning server can use a key of a public-private key pair to encrypt a SIM-based identity that is associated with a user device. When the user device requests access to an MVNO network, an MNVO-controlled authentication server requests an encrypted SIM-based identity from the user device and uses a key to decrypt the SIM-based identity as part of determining whether to grant MVNO network access to the user device. Encrypted SIM-based identities enable an MVNO to rely on MVNO-controlled equipment when authenticating user devices to access MVNO network without the additional message overhead accumulated when an MNO mobile core is required to determine whether to grant access to user devices.

Abstract: The disclosure is directed to, among other things, systems and methods for troubleshooting equipment installations using machine learning. Particularly, the systems and methods described herein may be used to validate an installation of one or more devices (which may be referred to as “customer premises equipment (CPE)” herein as well) at a given location, such as a customer's home or a commercial establishment. As one non-limiting example, the one or more devices may be associated with a fiber optical network, and may include a modem and/or an optical network terminal (ONT). However, the one or more devices may include any other types of devices associated with any other types of networks as well.

Abstract: Disclosed are systems and methods for network configuration management systems and methods. In some embodiments, the discloses systems and methods may involve receiving data from one or more nodes within a particular network. The data may include, for example, topology, telemetry, geographical, and other data relating to the nodes, the network, and/or the functionality of the nodes or network. Once received, such data may be cleaned and processing may be performed on the data. Such processing may involve clustering the data into groups based on various parameters and performing forecasting on the data to determine future usage rates and capacity information, for example. The clustering and forecasting results may be fed to a rules engine and/or an optimization engine, which may then determine appropriate actions to take on the network (e.g., changes to various nodes in terms of technology and/or number of nodes).

Abstract: Aspects are described that utilize a distributed network of mobile low-energy (LE) radio frequency (RF) reader devices to detect LE RF beacons relative to a location of each mobile LE RF reader device. According to an aspect, an onboard diagnostics (OBD) device is integrated with or coupled to a mobile LE RF reader device and a wireless backhaul interface. The wireless backhaul interface is configured to provide detection data that includes LE RF beacon data detected by the mobile LE RF reader device to a network server. The network server is configured to receive the detection data including detected LE RF beacon data from a plurality of OBD devices and/or mobile LE RF reader devices. Each mobile LE RF reader device can be configured to detect LE RF beacons and/or output detected LE RF beacon data according to certain trigger events as part of providing power management functionality.

Abstract: Systems and methods are disclosed for tank level monitoring. To perform monitoring of fuel levels of fuel tanks, tank level monitor devices may be affixed to the fuel tanks. The tank level monitors may be used to provide data relating to the fuel tanks to a remote location (such as a mobile device application). A predictive algorithm may also be implemented to more effectively schedule refueling events for various fuel tanks.

Abstract: The present disclosure relates to multi-MAC controller and single PHY systems and methods. An example method may include receiving, at a remote PHY device and from a first MAC device located at a headend of a network, a first data packet including a first identifier. The example method may also include determining, by the remote PHY device and using the first identifier included in the first data packet, a first output of the PHY device onto which to transmit the first data packet, the first output including a first group of customer devices. The example method may also include receiving, at the remote PHY device and from a second MAC device located at the headend, a second data packet including a second identifier. The example method may also include determining, by the remote PHY device and using the second identifier included in the second data packet, a second output of the PHY device onto which to transmit the second data packet, the second output including a second group of customer devices.

Abstract: Devices, systems, and methods are provided for performing secured analytics using encrypted data. The method may include receiving first data and second data, the first data and the second data being homomorphically encrypted, the first data associated with a first type of data, and the second data associated with a second type of data. The method may include retrieving third data associated with the first type of data, and retrieving fourth data associated with the second type of data. The method may include determining a first proximity between the first data and the third data, and determining a second proximity between the second data and the fourth data. The method may include determining, based on the first proximity and the second proximity, a risk score, and determining, based on the risk score, a fraudulent action associated with the first data and the second data.

Abstract: This disclosure describes systems, methods, and devices related to providing real-time response strategies in a supply chain. A system may be configured to obtain first sensor data collected from a first tracking device associated with a first asset, determine a first set of external data associated with the first asset, determine, based at least in part on the first sensor data and the first set of external data, a probability of failure and a mode of failure, and responsive to a determination that the probability of failure exceeds a failure threshold: determine a mitigation for the mode of failure that is available based at least in part on the first sensor data and the first set of external data, determine one or more real-world actions corresponding to the mitigation that, if performed, remediate the mode of failure, and cause the one or more real-world actions to be performed.

Abstract: This disclosure describes systems, methods, and devices related to programmatically updating the status of assets tracked in a supply chain environment. A system may be configured to obtain first sensor data collected from a first tracking device associated with a first asset, determine asset workflow information associated with the first asset, determine an intelligence engine configured to generate an inference of a status associated with the first asset, determine the status associated with the first asset, wherein the status is determined by the intelligence engine based on the first sensor data and the asset workflow information, and store the status of the first asset in an asset tracking database.