55 results about "Infrastructure network" patented technology

The invention relates to the technical field of node identification, in particular to a network key node identification method fusing improved measurement and propagation influence, which comprises the following steps: setting an edge weight and a cross-layer dependency relationship of an infrastructure network; constructing weighted cross-layer local contact centrality, attenuation cross-layer path centrality and random walk centrality indexes; taking the maximum value of the three adaptive scores as an improved measure of the node; defining metric value standardization; calculating a propagation influence value, standardizing the measurement value, and carrying out weighted fusion on the measurement value and the propagation influence value to obtain a fusion score; carrying out propagation influence value convergence judgment by utilizing an LT linear threshold model; and arranging the nodes based on the fusion score value, and outputting a key node identification result. The method solves the problems that a traditional key node identification method only regards a multi-layer network as a plurality of isolated single-layer networks, lacks measurement of node heterogeneity in the multi-layer network, ignores a coupling relation between network layers and is difficult to be accurately applied to an urban multi-layer infrastructure network.

The invention belongs to the technical field of data security and block chains, and discloses a physical infrastructure node continuous data chaining and traceability method and system, and the method comprises the steps: generating a unique asymmetric key pair for each node; continuously collecting physical sensing data and generating a unique data identifier; performing digital signature on the current physical sensing data to form a continuous signature chain; storing the original physical perception data, the corresponding digital signature and the continuous signature chain in an off-chain service platform database; uploading the data identifier, the digital signature and the hash value of the original physical sensing data to a block chain network based on a dynamic anchoring strategy; and comparing the calculated hash value with the hash value of the corresponding original physical sensing data in the block chain network, and backtracking the continuous signature chain. According to the invention, a safe, efficient and traceable complete data guarantee scheme can be provided for a decentralized physical infrastructure network.

A method for improving trust in a decentralized physical infrastructure network (DePIN), the method including receiving, by a client device, a result set created by executing a request on a source data from at least one of a plurality of operator nodes of the DePIN, validating the source data by calculating one or more hash values of the source data and comparing the one or more calculated hash values with one or more original hash values published on a shared metadata layer, and validating the result set, by executing the request on the source data after validation to generate a validating set and comparing the validating set with the result set to determine accuracy of the result set.

The invention belongs to the technical field of Internet of Things. The invention provides a large-scale infrastructure network link dynamic prediction method based on nonlinear reserve pool calculation. According to the embodiment of the invention, by combining nonlinear reserve pool calculation and regularization regression technologies, the dynamic, efficient and accurate prediction of a complex network link is realized, and the method is particularly suitable for state inference and stability analysis of a key link in an infrastructure network. A reserve pool calculation framework is adopted, and the core advantage of the method is that only the linear weight of an output layer needs to be trained, and the internal connection of a huge reserve pool is kept random and fixed. A large amount of iterative computation and GPU resources required by back propagation are avoided, and the training complexity and the time cost are remarkably reduced. A Tikhonov regularization item is introduced, so that the overfitting problem under limited training data or noise interference is effectively prevented, and the generalization ability and prediction stability of the model are improved.

A system and method for analyzing cybersecurity posture for an OT infrastructure includes categorizing a plurality of devices of one or more plants into levels, based on an exposure of each device to a communication network, identifying CVEs of components of the plurality of devices; assigning a severity value to the one or more CVEs of components and determining a plant cybersecurity posture score for the one or more plants; computing a critical infrastructure cybersecurity posture score for the OT infrastructure; and applying remediation to one or more vulnerable components based on a prioritization sequence.

The invention provides an infrastructure cascade failure prediction method and system for flood disaster scene construction, and the method comprises the steps: constructing an extreme rainstorm flood disaster scene through a numerical simulation method; constructing an independent network topology structure of the traffic infrastructure, the electric power infrastructure and the communication infrastructure; the method comprises the following steps: under the impact of extreme rainstorm, analyzing a cascade relationship and a disaster propagation mechanism of power-communication-traffic infrastructure, and constructing a cascade failure three-order network model of urban key infrastructure, the three-order network model comprising a three-order infrastructure network topology model, an extreme rainstorm flood model, a disaster propagation model and a cascade failure model; according to the submerging water depth of the urban infrastructure influenced by the extreme rainstorm, infrastructure failure conditions are set, infrastructure node failure prediction is carried out, and then independent infrastructure network failure prediction and urban key infrastructure cascade failure prediction are carried out. According to the invention, infrastructure cascade failure prediction can be carried out.

Embodiments of the present disclosure provide a communication method and related apparatuses. A first node transmits a first message to a second node, the second node receives the first message from the first node, where the first message is used for indicating one or more services allowed to be provided by the second node and a requirement for each of the one or more services; the first node transmits a registration response to the second node in response to the registration request, the second node receives the registration response from the first node, where the registration response is used for indicating accepting the registration or rejecting the registration. In this way, when the first node accepts the registration, the communication system can integrate the second node being a trusted 3rd party, which is not the infrastructure provider but provides a XaaS service implemented on the infrastructure provided by an infrastructure provider of the communication system or an infrastructure provider outside the communication system. Thus, under-controlled integration of infrastructure networks, under-controlled openness of 6G new service provisioning, under-controlled openness of 6G network control / management services provisioning and under-controlled openness to XaaS service provisioning can be realized, so as to optimize a 6G system with controllable trustworthiness.

The disclosed system and method integrate multiple supply chain ecosystems into a cohesive network using a centralized operator. The system interconnects physical and mobile infrastructures, networks, and smart sensors. An Artificial Intelligence of Things (AIOT) module provides real-time visibility into dynamic pricing, booking availability, payment processing, smart contract execution, and traceability of physical and online goods. A high-performance computing module, comprising Central Processing Units (CPUs) and Graphics Processing Units (GPUs), executes complex algorithms and deep learning models for rapid data processing and analytics. The system empowers logistics operators with actionable insights and precise control over supply chain operations.

The invention discloses a key infrastructure network attack tracing method based on dynamic risk assessment, and particularly relates to the technical field of network and information security, session watermarks are generated through an entrance side, source aperture records are unified, a session chain is formed through cross-domain splicing, and a command sequence and assets are aligned; auditing records and measurement are extracted on the equipment side according to the command track, fluctuation irrelevant to the command is eliminated through adjacent comparison, and stable equipment response is obtained; a window alignment robust index and a command effect sensitive index are put forward, a discrimination rule is synthesized to generate a stripping sequence basis, commands are imported piece by piece in an isolation replay environment, a minimum command subset is selected in combination with a unified trade-off factor, and causal matching is verified through dynamic sorting of stripping strength coefficients. A matching result is backfilled to generate a responsibility-accounting label, settlement is performed to a dynamic risk vector, a disposal priority is formed, and the whole process can be audited and rechecked; the method solves the problems of evidence splitting, cause and effect unconfirmation and unstable responsibility of key infrastructures in a multi-hop environment.

A command is received by a data protection agent to conduct an application-consistent backup of an application. The agent and application are installed as guests in a virtual machine (VM) provided by a hypervisor of a host. The VM is connected to a virtual machine guest network. The hypervisor is connected to an infrastructure network, separate from the virtual machine guest network. A socket communication channel is established between the agent and a snapshot data mover running on the host and outside the VM. A request for a snapshot is issued over the socket communication channel to the snapshot data mover. The snapshot request is passed to a virtual machine manager connected to the infrastructure network.

The invention relates to the technical field of data processing, in particular to a low-altitude traffic infrastructure network layout optimization method based on multi-agent simulation, and the method comprises the steps: generating a layout through a generative model; a reinforcement learning algorithm is carried out on the multiple agents by utilizing the generated layout to simulate dynamic behaviors of the agents such as people, vehicles and aircrafts under the layout, and the agents after reinforcement learning are utilized to optimize the generative model, so that the generative model generates the layout which enables each agent to output the maximum value. The problem of'combined explosion 'of low-altitude infrastructure layout is effectively solved, and integrated and efficient utilization of space resources is ensured.

A communication device respectively establishes a plurality of wireless communication connections with a plurality of predetermined devices in an infrastructure network, and includes a wireless transceiver and a processor. The wireless transceiver transmits or receives wireless signals. The processor selects a spatial reuse mechanism, generates spatial reuse information according to the spatial reuse mechanism, and transmits at least one packet carrying the spatial reuse information to the predetermined devices. The spatial reuse information defines a pattern of a communication period. The communication period comprises a spatial reuse phase and a non-spatial reuse phase. The spatial reuse information comprises time information of at least one of the spatial reuse phase and the non-spatial reuse phase. In response to a selection of the spatial reuse mechanism, the processor suspends a wireless signal transmission with the predetermined devices during the spatial reuse phase.

The application discloses a kind of service fixed and mobile node's convertible multi-layer unmanned aerial vehicle logistics network system and method, belong to unmanned aerial vehicle logistics and national defense mobilization technical field.The system includes: standardization's logistics unit system;Multi-level infrastructure network consisting of B level hub, C level transfer station, D level community terminal and innovative M level mobile node;With the matching D, C, B three unmanned aerial vehicle transport capacity;And intelligent cloud control platform.Platform supports daily double-track mode, and parallel service fixed community and mobile retail;More with emergency support and national defense mobilization mode, can be quickly switched to accept the strategic logistics and support network of national unified scheduling after authorization.The application realizes the unity of commercial efficiency and strategic resilience, and constructs a combined with war, military and civilian dual-use flexible three-dimensional logistics system.

In one embodiment, a method herein comprises: determining, by a service mesh process, whether a problematic metric for an application is based on a transport network to a cloud infrastructure or is within the cloud infrastructure; delineating, in response to the problematic metric being within the cloud infrastructure, cloud infrastructure network contribution versus application microservice architecture contribution to the problematic metric; determining, in response to the application microservice architecture contribution being a primary contributor to the problematic metric as compared to the cloud infrastructure network contribution, whether the problematic metric is due to a software issue or a hardware issue of the cloud infrastructure, a high load issue with application microservices of the cloud infrastructure for the application, or else an issue with the application itself; and exporting a corresponding determination related to whether the problematic metric is due to the transport network, the cloud infrastructure, or the application itself.

The application discloses a method for optimizing infrastructure network game strategy based on linear constraint, which comprises the following steps: obtaining the topology structure of the infrastructure network, determining the strategy set of the attack side and the defense side, and constructing a basic model of complex network game; determining an index representing network connectivity, calculating the income of the attack side and the defense side under various strategy profiles in the complex network game model, and thus obtaining an income matrix; adding a restriction condition to the strategy selection of the attack side and the defense side, and thus obtaining the strategy constraint set of the attack side and the defense side; converting the solution of the basic model of complex network game into the solution of a linear programming problem, obtaining a mixed Nash equilibrium solution, and thus obtaining the strategy optimization result of the attack side and the defense side. The method can greatly widen the application of complex network game research in practice by introducing the constraint matrix countermeasure into the infrastructure complex network game.

The invention discloses a network security anti-fact defense method based on multi-agent collaboration, which comprises the following steps: deploying local defense agents with autonomous decision-making capability in different areas of a network, and setting a core defense agent oriented to global collaboration to carry out unified coordination and control on a multi-point linkage security policy; therefore, cross-region and cross-security domain cooperative defense is realized. The method is suitable for a power secondary system, an industrial control system, an industrial internet and other key infrastructure networks, and can also be popularized and applied to a cloud computing data center, a government affair private network and other network environments with complex topology and strict service continuity requirements. And the technical problems that an existing static boundary isolation and access control method lacks dynamic description capability on the influence of the service running state, the attack evolution process and cross-site linkage, and a timely, fine and interpretable defense decision is difficult to realize when the attack is quickly diffused or the service topology is frequently changed can be solved.

The application relates to the technical field of data processing, in particular to a low-altitude traffic infrastructure network layout optimization method based on multi-agent simulation, which comprises the following steps: generating a layout through a generative model; simulating the dynamic behaviors of agents such as persons, vehicles and aircrafts in the layout by using the generated layout to perform reinforcement learning algorithm simulation on the multi-agent; and optimizing the generative model by using the agent after reinforcement learning, so that the generative model generates a layout which makes each agent output the maximum value. The "combination explosion" problem of low-altitude infrastructure layout is effectively solved, and efficient utilization of air-ground resources is ensured.

An approach is provided for resource provider identity management and resource attestation and provisioning. The approach involves, for example, determining a request to initiate a pre-provisioning of a resource component to an infrastructure network (e.g., Decentralized Physical Infrastructure Networks (DePIN). The request includes a specification label that advertises one or more capabilities of the resource. The approach also involves reading of a specification table and a unique identifier from the resource component. The approach further involves verification of the specification label based, at least in part, on the specification table. The approach further involves generating a bundle based, at least in part, on the specification table and the unique identifier. The bundle represents the verification of the specification label. The approach further involves associating the bundle with the resource component.

The present invention relates to a method and a system for charging an electric vehicle using a community-based advanced metering infrastructure (AMI) network. The method for charging an electric vehicle using a community-based AMI network according to an embodiment of the present invention comprises the steps of: when a charger receives a charging request from an electric vehicle, requesting an allowable charging capacity through the AMI network; when an AMI modem receives a request for the allowable charging capacity from the charger, transmitting power usage and requesting a contract capacity; calculating, by the AMI modem, the allowable charging capacity on the basis of accumulated user data and user pattern analysis data received from an AMI management server, and transmitting the calculated allowable charging capacity to the charger; and charging, by the charger, the electric vehicle according to the allowable charging capacity.

A control method for an information processing device connected to an infrastructure network, the control method including receiving an operation of requesting connection with a first display device that is not connected to the infrastructure network; notifying that the connection with the infrastructure network is to be disconnected; receiving an operation of approving disconnection from the infrastructure network; and the information processing device is connected to the first display device via an ad-hoc network as a display device to which image data is transmitted.

A method for an access point multi-link device (AP MLD) of an IEEE 802.11 (WLAN) infrastructure network is described herein. In one embodiment, the method comprises transmitting - by the AP MLD to a non-AP MLD - a first frame indicating configuration of a target wake time (TWT) service period (SP) of a first link of a plurality of links between the AP MLD and non-AP MLD; and receiving - by the AP MLD from the non-AP MLD via a second link of the plurality of links - a second frame indicating rescheduling of the TWT SP of the first link, wherein the second frame comprises link identifier (ID) information of the first link. Moreover, respective apparatuses and devices are described.

This invention provides a network system, a network worker node, network management and control, and a network isolation method. The network system includes: a container network server interface deployed within the network worker node; the container network server interface is used to: create a corresponding identifier for the container when a container is created within the network worker node, request network management to create a virtual network interface card (NIC) corresponding to the container, and send a virtual port creation request generated based on the virtual NIC and identifier to network management; the first communication port of the virtual NIC is associated with the main namespace of the network system's operating system, and the second communication port of the virtual NIC is associated with the container's namespace; network management is used to create virtual ports according to the virtual port creation request, assign IP addresses to the virtual ports, and feed back the IP addresses to the container network server interface; and a virtual infrastructure network is used to process network data based on the identifier information and IP address of the virtual NIC. This invention can achieve network security isolation.

Mechanisms that favour discovery of communication groups managed by soft access points (APs), e.g. peer-to-peer (P2P) groups controlled by P2P group owners. A first station, belonging to a group managed by a first AP and operating on a first channel, obtains group-related information, and sends a group announcing frame that includes the group-related information to second APs over respective second channels. A second AP, operating a basic service set (BSS) on a second channel, receives, over a second channel, a group announcing frame that includes group-related information describing a group managed by a first AP operating on a first channel. In response, the second AP generates a reported-AP element, and sends, over a second channel, a frame including the reported-AP element to advertise the group within the BSS. A second station, operating on a second channel, receives, from a second AP, a frame including a reported-AP element advertising a group managed by a first AP and configured to operate on a first channel. The second station switches the operating channel from the second to the first channel and joins the group of the first channel.

The invention discloses a static attribute feature and dynamic behavior fused Internet infrastructure network asset identification method and a related device, and the method comprises the steps: obtaining the static attribute information of a target network asset and the dynamic behavior information of the target network asset, and enabling the static attribute information to be information which does not change along with a network interaction behavior; the dynamic behavior information is information representing network interaction behaviors. And performing feature extraction on the static attribute information of the target network assets to obtain first feature information, and performing feature extraction on the dynamic behavior information of the target network assets to obtain second feature information. And fusing the first feature information and the second feature information to obtain fused feature information. And generating target identification information of the target network assets according to the fused feature information. Therefore, the generated fusion feature information can simultaneously represent the stable structure feature and the dynamic behavior pattern of the network asset, and the accuracy of network asset identification is improved.

The invention relates to the technical field of intelligent medical treatment, in particular to a hospital indoor and outdoor integrated medical treatment navigation system, and provides the following scheme aiming at the problems that in the prior art, a hospital navigation system is low in indoor and outdoor positioning precision, and the coupling degree of a hospital real-time resource state and a patient personalized diagnosis and treatment process is low. The system comprises a special portable intelligent navigation terminal, a hospital intelligent resource scheduling server cluster, a multi-level fusion positioning infrastructure network and a distributed edge computing architecture, sub-meter precise positioning is realized through a multi-source fusion positioning technology, a diagnosis and treatment task chain is generated and optimized in real time in combination with a dynamic resource scheduling algorithm, multi-mode intelligent navigation interaction is realized based on context sensing, and functions of payment, near field communication and the like are integrated to form a closed-loop service. The problems that existing hospital navigation is low in positioning precision, single in function and disjointed with the diagnosis and treatment process are solved, intelligence, initialization and individuation of the medical treatment process are achieved, and the medical treatment experience of patients and hospital operation efficiency are improved.

The embodiment of the invention provides an Internet infrastructure network asset classification method based on a three-dimensional feature set, relates to the technical field of Internet infrastructure network asset classification processing, and is used for improving the accuracy of network asset classification. The three-dimensional feature set comprises features of multiple dimensions and categories to which the features belong; training a deep neural network classification model based on the stereo feature set to obtain an asset classification model; to-be-classified asset data are input into the data classification model, a classification result is obtained, and the classification result comprises the category to which the to-be-classified asset data belong.

Title: Method for an emergency vehicle stop in an infrastructure network. Method for configuring an infrastructure system in which each emergency stop switch is connected to a lookup table 22, 24. Using the lookup tables, a transformation table 26 is established, taking into account a control table, and the transformation table 26 and the control table are made available. Figure for the abstract: Fig 3.

A user interface shows status of network elements in an infrastructure network. The network elements are used to provide a communication channel for elevators, escalators and similar. In addition to network elements status of peripheral devices and other elevator and escalator related network connected devices may be shown. The user interface showing the status of network elements and other devices provides the maintenance person an easy way of spotting possible sources of problems.

The application discloses a node-based infrastructure network game strategy generation method, and the method comprises the following steps: acquiring a topological structure of a real infrastructure network, constructing a false network through two methods of randomly adding and deleting edges and randomly adding and deleting nodes, and constructing network models of the real network and the false network; reasonably allocating resources of an attack side and a defense side, establishing cost constraints for the attack side and the defense side in attack and defense games; considering uncertain factors in whether an attack succeeds in the network attack and defense process, determining attack success rate constraints of each node of the network under unprotected conditions and protected conditions; obtaining a strategy set of the attack side and the defense side through the cost constraints, taking a maximum connected piece scale as a network performance evaluation index, and calculating benefits of the attack side and the defense side under respective strategies under the attack success rate constraints; converting the network attack and defense game model into a linear programming model, solving a mixed strategy Nash equilibrium solution, and projecting the result to nodes.