Abstract: A system, method, and computer program product are provided for mitigating an attack on a communication network, the attack causing repetitive reconfiguration of at least a part of the communication network. In use, using a communication management system, one or more configuration changes to a communication network are recorded. Each of the one or more configuration changes are associated with at least one rule, and each of the one or more configuration changes based on the at least one rule is determined. The at least one rule is associated with at least one event, and the at least one event is processed, resulting in an effect to the communication network. Additionally, at least one reconfiguration pattern is determined. Further, it is determined that the at least one reconfiguration pattern is repeated, and an attack to the communication network is mitigated.

Abstract: A device and a method including a power supply module operative to extract electric power from magnetic field surrounding an electric cable, a transceiver operative to communicate in a backhaul network, a transceiver for a wireless local area network and/or a remote sensing unit, and a controller module communicatively coupled to the transceiver and/or remote sensing unit, where the device is mounted around a single electric cable of an electric transmission grid or an electric distribution grid, and where the device derives power form the single electric cable.

Abstract: A system, method, and computer program product are provided for implementing a marketplace for edge computing. In use, a service request is received, at a network communication operator, from a first entity, the service request comprising an edge computing operator of an edge computing service, wherein the first entity is one of a request originator, a customer using a software service, a software service operator providing the software service, or a cloud computing operator providing a computing service to the software service. Additionally, the service request is distributed to at least one second entity, using the network communication operator, wherein the at least one second entity includes at least one of a first request mediator or a second request mediator. Further, the service request is distributed, using the network communication operator, to the edge computing operator.

Abstract: A device and a method including a power supply module operative to extract electric power from magnetic field surrounding an electric cable, a transceiver operative to communicate in a backhaul network, a transceiver for a wireless local area network and/or a remote sensing unit, and a controller module communicatively coupled to the transceiver and/or remote sensing unit, where the device is mounted around a single electric cable of an electric transmission grid or an electric distribution grid, and where the device derives power form the single electric cable.

Abstract: A system, method, and computer program product are provided for damping a feedback load-change in a communication network managed by an automatic network management system. In use, a first load change of a first communication network is determined of a first communication network. Additionally, a first configuration change is determined of a first communication network based on the first load change of the first communication network. A first tag record is created of the first communication network based on the first load change of the first communication network and the first configuration change of the first communication network. The first tag record of the first communication network is communicated to a second communication network.

Abstract: A system, method, and computer program product are provided for training an AI-based network management system, in accordance with one embodiment. In use, log data and first network configuration data are received for a first configuration of a communication network. Additionally, second network configuration data is received for a second configuration of the communication network. Further, simulated log data is produced for the second configuration of the communication network, based on the log data and the second network configuration data.

Abstract: A system, method, and computer program product are provided for evaluating confidence level of predicting a network situation in a communication network managed using artificial intelligence. In use, for a configuration of a communication network, at least one network situation is determined requiring a change of the configuration of the communication network. A minimal configuration time period is determined required to implement the change of the configuration of the communication network. Additionally, a detection entity including a first classifier is determined that includes one or more event log data associated with the configuration of the communication network, and that further includes a prediction of an occurrence of a particular network situation of the at least one network situation. Further, a first confidence level of the detection entity is determined, the first confidence level representing, at least in part, a probability of the prediction.

Abstract: A system, method, and computer program product are provided for operating a multi-stage artificial intelligence (AI) analysis in a communication network. In use, first log data of network activity of the communication network is acquired based on a first set of monitoring rules. A network situation is detected in log data by an artificial intelligence (AI) system using an AI-model. A confidence level is computed associated with the detection of the network situation. Additionally, it is determined whether the confidence level surpasses a predefined value, and when it is determined that the confidence level does not surpass the predefined value, second log data of the network activity of the communication network is acquired based on an additional set of monitoring rules. Further, the detection of the network situation, the computation of the confidence level, and the determination whether the confidence level surpasses the predefined level are each repeated.

Abstract: A system, method, and computer program product are provided for determining dynamic subnetworks in a communication network. In use, a plurality of network entities of a communication network is determined. Additionally, measurements of an amount of interaction between pairs of network entities of the plurality of network entities are collected. Further, at least one division characteristic is determined, and an intersection between the measurements and the at least one division characteristic is determined. Moreover, at least one border of a subnetwork of the communication network is determined, where the at least one border is based on the intersection.

Abstract: A system, a method, and/or a computer program for mounting a cable device on an electric cable of an electric grid, and dismounting therefrom, the mounting device including a first coupling part arranged to attach the mounting device to a flying vehicle, a second coupling part arranged to attach the cable device to the mounting device, and a navigation part operative to enable a user to navigate the flying vehicle so as to direct a slot of the cable device to the electric cable, and/or automatically navigate the flying vehicle to direct the slot of the cable device to the electric cable, and/or enable a user to navigate the flying vehicle to the cable device, and/or automatically navigate the flying vehicle to the cable device.

Abstract: A system, method, and computer program product are provided for a determining a network situation in a communication network. In use, at least one threshold value of at least one operational parameter of a communication network is obtained, the at least one operational parameter representing at least one operational status of at least one of a computational device or a communication device. Additionally, log data of the communication network is obtained, the log data containing at least one value of the at least one operational parameter reported by at least one network entity of the communication network. The at least one value of the at least one operational parameter of the log data is compared with a corresponding threshold value of the at least one threshold value to form a detection of a network situation.

Abstract: A system, method, and computer program product are provided for automatically pruning rules in an AI-based network management system. In operation, a network configuration identifier is defined for a configuration of a communication network in an AI-based network management system. Log data is collected of the communication network, and the log data is associated with the network configuration identifier. Next, training data is created for a first AI-engine for the network configuration identifier, based on the log data associated with the network configuration identifier. The one or more rules are associated with the network configuration identifier. Additionally, at least one rule of the one or more rules are provided to a second AI-engine used by the AI-based network management system.

Abstract: A system, method, and computer program product are provided for automatic labeling of training and testing data in a communication system. In use, log data of a communication network is received, the log data including one or more parameters associated with an operation of network entities and a time of reporting. Additionally, the log data is stored in a log data set. At least one definition of at least one network situation is received. Further, a scan of the log data set by the time range is restricted and values of the one or more parameters of a first entry of the log data are compared with the at least one condition. It is determined that the values satisfy the at least one condition, whereupon, a first detected network situation is determined, the first entry of the log data is selected, and the first entry of the log data is automatically labeled.

Abstract: A method performed by, and a system embedded within, a communication device operating in a communication network, performing the steps of: obtaining a plurality of caller identification codes for the caller device, where each of the caller identification codes identifies the caller device in a network; obtaining at least one rule for selecting a caller identification code from the plurality of caller identification codes according to a characteristic of the called device; obtaining a characteristic of the called device; selecting a caller identification code from the plurality of caller identification codes according to the characteristic of the destination telephone identification, or caller environment or destination environment parameters, or caller decision on the time of making the call; and forwarding the selected caller identification code to any of another communication network and a terminal device of a communication network.

Abstract: A system, method, and computer program product are provided for preparing multi-feed of log data in an AI-managed communication system. In use, log data of a communication network is obtained and a plurality of artificial intelligence (AI) models are obtained. The log data is analyzed with a first AI model of the plurality of AI models to detect at least one occurrence of a respective classifier. A first confidence level for the first AI model is computed. A reduced log data feed is formed by eliminating at least one parameter from the log data. Further, a second confidence level for the first AI model is calculated by repeating the analysis of the log data, the computation of the first confidence level, and the formation of the reduced log data feed until at least one: the second confidence level is lower than the first confidence level, or the second confidence level reaches a threshold.

Abstract: A system, method, and computer program product are provided for automatic reconfiguration of a communication network. In use, a scoring function, a scoring goal, and data of a first network situation of a communication network are obtained. An initial network entity associated with the first network situation, and an initial parameter associated with the first network situation are selected. Additionally, a migration of the initial network entity is planned to prevent the initial parameter from reaching a predefined threshold to form a network reconfiguration. Further, a score value of the network reconfiguration using the scoring function is computed, and it is determined that the score value does not match the scoring goal. Moreover, the method is repeated until the score value matches the scoring goal.

Abstract: A method performed by, and a system embedded within, a communication device operating in a communication network, performing the steps of: obtaining a plurality of caller identification codes for the caller device, where each of the caller identification codes identifies the caller device in a network; obtaining at least one rule for selecting a caller identification code from the plurality of caller identification codes according to a characteristic of the called device; obtaining a characteristic of the called device; selecting a caller identification code from the plurality of caller identification codes according to the characteristic of the destination telephone identification, or caller environment or destination environment parameters, or caller decision on the time of making the call; and forwarding the selected caller identification code to any of another communication network and a terminal device of a communication network.

Abstract: According to one aspect of the present invention there is provided a system, method, and computer program product for recovering from a network failure in a communication network using network function virtualization (NFV-based network), the method including: selecting a first network component of the NFV-based network, detecting at least one probable failure of the first network component, selecting a second network component to be used for replacing the instance of the VNF in the first network component prior to a failure of the first network component, and securing at least one resource of the selected second network component for the other instance of the VNF and maintaining, in the selected second network component, an updated copy of data associated with the instance of the VNF in the first network component.

Abstract: A method and a device for cleaning an electric cable and/or an electric insulator connected to the electric cable. The device includes a power supply module operative to extract electric power from magnetic field surrounding an electric cable, a propulsion module for maneuvering the device at least one of along the electric cable and around the cable, and a dusting module for cleaning the electric cable, where the device is mounted on a single electric cable of an electric transmission grid and/or an electric distribution grid.

Abstract: A system, method, and computer program product are provided for training an AI-based network management system, in accordance with one embodiment. In use, log data and first network configuration data are received for a first configuration of a communication network. Additionally, second network configuration data is received for a second configuration of the communication network. Further, simulated log data is produced for the second configuration of the communication network, based on the log data and the second network configuration data.