39 results about "Infrastructure network" patented technology

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.

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 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.

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.

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.

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.

The application discloses a strong Stackelberg game strategy generation method based on an intuitionistic fuzzy set, and the method comprises the following steps: acquiring a topology structure of an infrastructure network, letting a defender be a forerunner, determining strategy sets of an attack party and the defender, and constructing a complex network strong Stackelberg game model; determining an index representing network connectivity, calculating the income of the attack party and the defender under various strategy profiles in the complex network strong Stackelberg game model, and thus obtaining an income matrix; constructing a hyperbolic membership function and a non-membership function by using an intuitionistic fuzzy set determination method; converting the income matrix into an intuitionistic fuzzy set income matrix by using the hyperbolic membership function and the non-membership function; converting the solution of the complex network strong Stackelberg game model into the solution of a nonlinear programming problem, obtaining a mixed strategy Nash equilibrium solution, and thus obtaining the strategy optimization results of the attack party and the defender.

The embodiment of the invention provides a data processing method and device for an infrastructure network, equipment and a storage medium. The method comprises the following steps: determining a plurality of infrastructure networks, and receiving first physical layer state data uploaded by each infrastructure network; for each infrastructure network, determining at least one associated infrastructure network with a physical layer dependency relationship, and obtaining corresponding second physical layer state data; obtaining global interaction data of each infrastructure network based on the first physical layer state data and the corresponding second physical layer state data of each infrastructure network; performing network operation state analysis on the global interaction data to obtain a scheduling decision analysis result; and returning the scheduling decision analysis result of each infrastructure network to each infrastructure network, so that each infrastructure network performs infrastructure scheduling based on the scheduling decision analysis result. Therefore, the comprehensiveness and accuracy of infrastructure network data analysis can be improved.

A method, system and apparatus are disclosed. According to one or more Examples, an infrastructure network node (16) for providing a virtual multiple-input multiple-output. MIMO, cellular network supporting a plurality of network nodes (16) associated with a plurality of service providers. SPs is provided. The infrastructure network node (16) is configured to determine a downlink coordinated precoder for online multi-cell MIMO wireless network virtualization. WNV, where the downlink coordinated precoder is based at least on imperfect channel state information. CSI, and to optionally indicate the downlink coordinated precoder.

The invention discloses an urban water supply system toughness critical threshold identification method, system and equipment, and the method comprises the steps: carrying out the modeling of a physical domain and an information domain of a water supply system based on a graph theory method, building a dual-domain coupling mechanism according to a control theory principle, and constructing an information-physical interaction coupling model; on the basis of the coupling model, an information network fault scene is introduced to analyze the influence of an information network fault on the running state of the urban water supply network; and further based on performance-time curve characteristics, a service performance attenuation rate is established as a toughness critical threshold evaluation index, and a toughness critical threshold of the system is identified and output through quantitative calculation. The method is high in systematicness and clear in process, a direct basis is provided for accurate reinforcement and toughness improvement of the system, the constructed coupling model effectively improves the accuracy and practicability of system modeling, dynamic behaviors of the system in the whole process from function attenuation to recovery can be completely captured, toughness research of a multi-layer key infrastructure network can be supported, and the method is suitable for popularization and application. The method has important theoretical significance and engineering application value.

This invention pertains to the fields of distributed ledger, cryptocurrency, and decentralized physical infrastructure network. It solves the problems of the blockchain trilemma and cryptocurrency's l

Fluid infrastructure management systems and methods are described. An exemplary method includes: (1) obtaining, within a server and a remote telemetry unit, a digital twin model that provides one or more estimates of a flow attribute within a fluid infrastructure element; (2) receiving a forecast of an environmental condition around an area surrounding the sensor; (3) estimating, on the server and using the forecast and one of the digital twin models, the flow attribute to produce one or more estimated values ​​of the server flow attribute; (4) obtaining, using the sensor and at the remote telemetry unit, the sensor measurement of the flow attribute; and reporting one or more of the estimated values ​​of the server flow attribute as, or being, an estimate of the sensor measurement, if the server does not receive the sensor measurement from the remote telemetry unit.

A system and method for meteorological modelling. The method includes carrying out data exchange in an infrastructure network, receiving navigation satellite system signals from the navigation satellites of the global navigation satellite system in the infrastructure network nodes, and controlling operation of the infrastructure network nodes based on the received navigation satellite system signals. The method further includes determine atmospheric delays of the navigation satellite system signals, and calculating atmospheric quantities between the navigation satellites and the infrastructure network nodes based on the determined atmospheric delays of the navigation satellite system signals.

The application discloses an operation evaluation and safety verification method for an industrial control system, first constructs an operation-level multi-source data set, then trains a forward prediction model based on the data set, with the current process state and control operation as joint input and the process response in the future time window as output, and uses the verification set error to calibrate the prediction error threshold and confidence. In online operation, the model is called before the control operation is issued to obtain the future response prediction trajectory, and the pre-risk evaluation and classification are performed in combination with the process safety boundary and the confidence; after the operation is completed, the operation is judged according to the actual response, the prediction residual and the confidence, and corresponding operations are respectively performed; the application constructs an operation-level evaluation closed loop considering pre-prediction and post-checking, realizes fine-grained quantitative evaluation of the rationality and potential risk of the control operation without changing the existing control logic, and improves the collaborative protection capability of the network side and the process side of the key infrastructure.

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.