In an electronic control unit, it is determine whether a data frame received from a different electronic control unit via a communication network is abnormal. A prediction data, which is predicted to be a normal data supposed to be included in the data frame determined to be abnormal, is generated by using a past data that is a data included in stored data frames, based on a stored prediction generation method. A prediction data frame including the prediction data is transmitted via the communication network.

A digital data communications network that supports efficient, scalable routing of data and use of network resources by combining a recursive division of the network into hierarchical sub-networks with repeating parameterized general purpose link communication protocols and an addressing methodology that reflects the physical structure of the underlying network hardware. The sub-division of the network enhances security by reducing the amount of the network visible to an attack and by insulating the network hardware itself from attack. The fixed bandwidth range at each sub-network level allows quality of service to be assured and controlled. The routing of data is aided by a topological addressing scheme that allows data packets to be forwarded towards their destination based on only local knowledge of the network structure, with automatic support for mobility and multicasting. The repeating structures in the network greatly simplify network management and reduce the effort to engineer new network capabilities.

A digital data communications network that supports efficient, scalable routing of data and use of network resources by combining a recursive division of the network into hierarchical sub-networks with repeating parameterized general purpose link communication protocols and an addressing methodology that reflects the physical structure of the underlying network hardware. The sub-division of the network enhances security by reducing the amount of the network visible to an attack and by insulating the network hardware itself from attack. The fixed bandwidth range at each sub-network level allows quality of service to be assured and controlled. The routing of data is aided by a topological addressing scheme that allows data packets to be forwarded towards their destination based on only local knowledge of the network structure, with automatic support for mobility and multicasting. The repeating structures in the network greatly simplify network management and reduce the effort to engineer new network capabilities.

Disclosed herein are a method and an NWDAF for collecting network data, including: transmitting a network exposure subscription request message including an event reporting granularity parameter to the NF; receiving a data set determined by the NF based on the event reporting granularity parameter from the NF through an event exposure notification message in at least one reporting cycle; and performing network data analysis using received data set.

Disclosed herein are a method and an NWDAF for collecting network data, including: transmitting a network exposure subscription request message including an event reporting granularity parameter to the NF; receiving a data set determined by the NF based on the event reporting granularity parameter from the NF through an event exposure notification message in at least one reporting cycle; and performing network data analysis using received data set.

Disclosed herein are systems and methods for multi-level classification of data traffic flows based on information in a first packet for a data traffic flow. In exemplary embodiments of the present disclosure, a key can be generated from intercepted DNS data to track data traffic flows by application names and destination IP addresses. Based on these keys, patterns can be discerned to infer data traffic information based on only the information in a first packet, such as destination IP address. The determined patterns can be used to predict classifications of future traffic flows with similar key information. In this way, data traffic flows can be classified and steered in a network based on limited information available in a first packet.

Disclosed herein are systems and methods for multi-level classification of data traffic flows based on information in a first packet for a data traffic flow. In exemplary embodiments of the present disclosure, a key can be generated from intercepted DNS data to track data traffic flows by application names and destination IP addresses. Based on these keys, patterns can be discerned to infer data traffic information based on only the information in a first packet, such as destination IP address. The determined patterns can be used to predict classifications of future traffic flows with similar key information. In this way, data traffic flows can be classified and steered in a network based on limited information available in a first packet.

Examples of techniques for event prediction in a control communication network are disclosed. Aspects include determining state data associated with one or more devices associated with a control communication network, generating, by a machine learning model, a feature vector comprising a plurality of features extracted from the state data, and determining one or more event predictions associated with the control communication network based at least in part on the feature vector.

Examples of techniques for event prediction in a control communication network are disclosed. Aspects include determining state data associated with one or more devices associated with a control communication network, generating, by a machine learning model, a feature vector comprising a plurality of features extracted from the state data, and determining one or more event predictions associated with the control communication network based at least in part on the feature vector.

The disclosure provides a method and a device for efficiently operating network slicing. According to the disclosure, a method of operating a first node configured to manage a network slice of a communication system includes: transmitting a service level agreement (SLA) range for each network slice subnet and a message requesting a resource according to the SLA range to a second node configured to manage the network slice subnet, receiving SLA arrangement flavor mapping relationship information in the network slice subnet unit from the second node, and identifying the SLA arrangement flavor mapping relationship in a network slice unit based on the received SLA arrangement flavor mapping relationship information in a network slice subnet unit.