A communication method and apparatus are provided. The method includes: A control plane device obtains first information of a first terminal device, where the first information indicates a terminal device that has mutual trust with the first terminal device, and the terminal device that has mutual trust with the first terminal device includes a second terminal device. The control plane device sends a first message to a first user plane device, where the first message includes route configuration information, the route configuration information is used to configure a first transmission path, the first transmission path is used to forward data to a second terminal device via the first terminal device, and the first user plane device is configured to provide a user plane data forwarding service for the first terminal device.

The present disclosure relates to a communication method and system for converging a 5.sup.th-Generation (5G) communication system for supporting higher data rates beyond a 4.sup.th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The disclosure discloses a terminal including a transmission and reception unit and at least one processor. The at least one processor controls the transmission and reception unit so that the transmission and reception unit receives a message such as an SMS, an MMS, or an OTT including event download information from a communication operator server, searches for event download information from the received message such as the SMS, the MMS, or the OTT, transmits the event download information to another terminal if necessary, and receives an event from a profile server with reference to the event download information.

A fugitive gas detection system is provided. The system includes a cloud service, a plurality of reach-based components, a plurality of wireless gas sensors. The reach-based components comprise backhauls and gateways. The wireless gas sensors are acted as nodes to acquire sensor data in a local mesh network and the nodes are connected to the cloud service through the reach-based components, one node can transmit the sensor data to other sensor nodes of the local mesh network. The system measures flammable gas levels with speed, economy and accuracy.

The present invention relates to a wireless system 100 miming multiple applications at the same time, such as for both lighting control and asset tracking A node 200 comprised in the wireless system 100 is capable to operate in multiple communication modes, with each communication mode is according to a different communication technology. One the other hand, one application may have a preferred communication mode different from another application, considering some applications may have higher security requirements than the others. In view of this, a mode switching method is disclosed to assist the node 200 to serve multiple parallel applications in an efficient manner.

A method and apparatus for supporting security in a radio resource control (RRC) inactive state in a wireless communication system is provided. A user equipment (UE) receives information on multiple security variables, of which each variable is mapped to each of multiple counter values, respectively. The UE calculates a security parameter and/or updating a UE identifier (ID) based on a security variable among the security variables which is mapped to a corresponding counter value among the multiple counter values, and transmits a radio resource control (RRC) resume request message including the calculated security parameter and/or the updated UE ID. The counter value may be increase whenever a timer expires or an RRC reject message is received as a response to the RRC resume request message.

A method comprises receiving, by a shim application of a user equipment (UE), an outbound communication from a first application destined for an external device, prior to transmitting the outbound communication to the external device, determining, by the shim application, whether to forward the outbound communication to the external device, via a radio interface of the UE, based on a first policy, receiving, by the shim application, an inbound communication destined for a second application from the external device, via the radio interface, determining, by the shim application, whether to forward the inbound communication to the second application based on a second policy, receiving, by the shim application, an inter-enclave communication from the first application destined for the second application, and determining, by the shim application, whether to forward the inter-enclave communication to the second application based on the second policy.

A service management system communicates via wide area network with gateway devices located at respective user premises. The service management system remotely manages delivery of application services, which can be voice controlled, by a gateway, e.g. by selectively activating/deactivating service logic modules in the gateway. The service management system also may selectively provide secure communications and exchange of information among gateway devices and among associated endpoint devices. An exemplary service management system includes a router connected to the network and one or more computer platforms, for implementing management functions. Examples of the functions include a connection manager for controlling system communications with the gateway devices, an authentication manager for authenticating each gateway device and controlling the connection manager and a subscription manager for managing applications services and/or features offered by the gateway devices. A service manager, controlled by the subscription manager, distributes service specific configuration data to authenticated gateway devices.

Aspects of the disclosure relate to multicomputer processing of vehicle operational data from telematics devices and other sources with centralized event control. An event control computing platform may receive vehicle operational data from a telematics device associated with a user. Subsequently, the event control computing platform may identify, based on the received data, whether at least one criterion associated with the user has been satisfied. If the received data indicates that the at least one criterion associated with the user has been satisfied, then the event control computing platform may generate a command configured to cause a change to a subunit of user data and then may transmit the generated command to a subunit provisioning server.

Aspects of the disclosure relate to multicomputer processing of vehicle operational data from telematics devices and other sources with centralized event control. An event control computing platform may receive vehicle operational data from a telematics device associated with a user. Subsequently, the event control computing platform may identify, based on the received data, whether at least one criterion associated with the user has been satisfied. If the received data indicates that the at least one criterion associated with the user has been satisfied, then the event control computing platform may generate a command configured to cause a change to a subunit of user data and then may transmit the generated command to a subunit provisioning server.

A malicious anchor node detection and target node localization method based on recovery of sparse terms, includes: S1: establishing an unknown disturbance term by using ranging value attack terms from an attacker to nodes in a wireless sensor network, and introducing a to-be-estimated location of a target node to the unknown disturbance term, to obtain an unknown sparse vector; S2: converting a problem of malicious anchor node detection and target node localization into a problem of recovery of the unknown sparse vector; S3: determining a location of an initial node according to a recursive weighted linear least square method, and recovering and reconstructing the unknown sparse vector with sparsity; and S4: determining a malicious anchor node determination range by approximating a threshold using a recovered value of the unknown sparse vector, to implement malicious anchor node detection, and recovering and determining location information of the target node.