40 results about "Network software" patented technology

A method, performed by at least one processor of a trust broker, for establishing trust of vendor-supplied Open Radio Access Network (O-RAN) software, includes: receiving a plurality of O-RAN software from a plurality of O-RAN software vendors, the plurality of O-RAN software respectively signed by the plurality of O-RAN software vendors; for a software, among the plurality of O-RAN software, verifying a signature included with the software using a vendor certificate issued by a certificate authority (CA) of the corresponding vendor; based on successful verification of the signature, performing a software attestation with respect to the software using a digital certificate issued by a CA of the trust broker; and providing the attested software to an operator corresponding to the O-RAN system and with which the trust broker has a trust relationship.

A modular Computer-On-Fan-Tray-Assembly (COFTA) networking device system includes a networking device chassis housing a circuit board coupled to a plurality of non-networking components and including: a networking processing system coupled to networking ports that are accessible on the networking device chassis, a networking processing system management connector coupled to the networking processing system, a non-networking component management connector coupled to the non-networking components, and a networking software management connector. At least two COFTA systems are each connected to a different subset of the networking processing system management connector, the non-networking component management connector, and the networking software management connector. Each COFTA system provides a respective operating system that manages a different subset of the networking processing system via the networking processing system management connector, the plurality of non-networking components via the non-networking component management connector, and networking software via the networking software management connector.

A network software system that enables the autonomous operation of mobile retail storefronts within a regional delivery area. The system connects local retailers with consumers by handling order placement, real-time inventory tracking, and delivery coordination. An order server communicates with the mobile storefronts to receive orders, determine consumer geolocation, calculate distances, and assign the closest mobile storefront based on proximity and available inventory. A mobile computer application aboard each storefront manages delivery scheduling, navigation, order processing, and intelligent communication with consumers, providing real-time updates and automated correspondence. The system supports various mobile inventories and automates all stages of order fulfillment, including the ability to direct mobile storefronts to areas with high concentrations of preferred customers. It is also capable of fully autonomous operation using self-driving technology.

The invention discloses a method for deploying a spiking neural network on neuromorphic hardware, and belongs to the technical field of collaborative design of neural network software and hardware. In order to solve the problem of high delay of spiking neural network deployment under different hardware topological structures and routing algorithms, modeling is mainly carried out on a mapping scheme of a neural network between hardware cores under the constraint of preset hardware parameters; and performing iterative optimization on the initial deployment scheme through the deployment scheme selection strategy to meet the response time constraint. The method can be suitable for various hardware architecture and route combinations, response time after deployment is effectively shortened, and system operation efficiency is improved.

A system and method for facilitating various forms of cyber training. In some embodiments, the system and method enable the creation and deployment of cyber ranges. Such a cyber range can simulate one or more network environment(s) of one or more real or hypothetical organizations for various network, software, and system / hardware components, as well as simulations of various network traffic.

The invention discloses a set top box home page interface operation system and method based on a hierarchical and domain-divided architecture, and relates to the technical field of broadcast television network software. The system comprises a proxy distribution module, a source service module, a big data service module, an online service module, a terminal layer, a system peripheral butt joint, a service monitoring platform and a system centralized deployment, the architecture of a provincial radio and television set top box platform is unified, and hierarchical and domain-divided management operation is supported. And performing background home page drawing on the home pages of the set-top boxes with different hierarchical architectures by a unified home page operation platform of operators of different hierarchies, and displaying different set-top box pages by the set-top boxes in different areas through attribution information. According to the method, the convenience of using the system to draw by operators of different levels is improved, the safety of the system is conveniently controlled, the information of the area to which the set top box belongs is obtained through real-time interface interaction logic, the local page is displayed in real time according to the differentiation of the set top box, and the multi-level page display of'one town and one screen 'is realized.

The invention relates to the technical field of satellite communication testing, and particularly discloses a vehicle-mounted satellite internet terminal testing method based on a narrowband protocol analysis system, which is characterized in that hardware is adapted to various terminal forms and radio frequency interfaces, and simulation network software is configured to reproduce a vehicle-mounted satellite network environment; exclusive test cases are designed to cover voice, data, short messages, Internet of Things and protocol functions, and automation and state visualization of the test process are realized by means of a test management tool and a terminal maintenance and measurement tool. The method effectively solves the problems of scene disjunction, low efficiency, poor compatibility and the like in the existing test technology, remarkably improves the test efficiency and the result credibility, and is suitable for the full-life-cycle test of the vehicle-mounted satellite internet terminal.

The application discloses a network routing mechanism vulnerability analysis method based on a graph neural network and a knowledge graph, which comprises the following steps: simulating the network routing mechanism vulnerability analysis of a target low-orbit interconnected network topology node based on a graph neural network and a knowledge graph; performing a fault injection experiment on a routing program in the simulated network topology; dynamically collecting vulnerability information of the network routing mechanism; and constructing a network routing mechanism vulnerability dataset; constructing a network routing mechanism vulnerability domain ontology NRMVO based on four dimensions of assets, networks, software and vulnerabilities; performing knowledge extraction on a program for realizing network routing; analyzing the relevance between complex structure information of the routing program and vulnerability of the network routing program; and constructing a target low-orbit interconnected network routing mechanism vulnerability knowledge graph; storing the result in a graph database; realizing knowledge graph visualization; constructing a target network routing mechanism vulnerability analysis model HGAT-BNR; and analyzing the vulnerability of the network routing mechanism from four dimensions of data flow, control flow, calling flow and access flow. The application has the advantages of high efficiency and high accuracy, and provides an effective analysis method for improving the reliability and security of the network routing mechanism.

A system for configuring a network, comprising a network software repository operating on a first processor and configured to store one or more algorithms for each of a plurality of hardware items and to implement version control for each of the one or more algorithms. A network software installation system operating on a second processor is configured to install a current version of one or more algorithms on each of a plurality of site-specific hardware items and to configure each of the plurality of site-specific hardware items to interoperate with each other.

Next state prediction technology that performs the following computer based operations: receiving state information that includes information indicative of a current state of an environment; processing the state information to predict a future state of the environment, with the processing being performed by a hybrid computer system that includes both of the following: (i) neural network software module(s) that include machine learning functionality, and (ii) symbolic rule based software modules; and using the prediction of the next state of the environment as an input with respect to taking a further action (for example, activating a hardware device or effecting a communication to a human or another device).

The invention discloses a calibration software configuration management system of a vehicle diagnostic instrument, which relates to the technical field of management systems, and has the technical key points that the system communicates with the vehicle diagnostic instrument, and comprises a configuration database, and a calibration software library, a controller format file, a configuration report and a calibration encryption software package which are respectively connected with the configuration database; the configuration database is used for maintaining controller information of each vehicle type; the controller format file is used for setting information of each controller; the configuration report is used for judging whether a vehicle controller diagnosed by a vehicle diagnostic instrument and calibration software of the vehicle controller need to be updated or not; and the calibration software library is used for storing application software, calibration software and network software required by the vehicle diagnosis instrument. According to the invention, the diagnostic instrument controller is updated by updating the software library of the vehicle diagnostic instrument controller, unified and efficient management can be carried out, and the flexibility, integrity, leakproofness and diagnostic efficiency of updating the configuration of the controller are improved.

Personal network Software Defined-Wide Area Networks (SD-WANs) with attested permissions may be provided. A first one of a plurality Personal Area Network (PAN) devices in a PAN may seed a routing table entry for at least one application that the first one of the plurality PAN devices supports. The routing table entry may include at least one characteristic associated with an egress link between the first one of the plurality PAN devices and a device outside of the PAN. The routing table entry may be exchanged among the plurality of PAN devices in the PAN. Then data may be routed, based on the exchanged routing table entry, in the PAN through the first one of the plurality PAN devices through the egress link to the device outside of the PAN.

The invention discloses a video stream cross-network forwarding method and system, and belongs to the field of multimedia communication. The method mainly comprises the following steps: acquiring a video stream link which can be directly played after authentication of remote external network equipment; the micro server processes the request of the external network equipment; the request of the extranet equipment is in authentication connection with the main server, and after the authentication is passed, the micro server receives video stream data of various protocols of the main server and converts the video stream data into an HTTP video stream link which can be directly played without re-authentication; the main server is connected with an intranet monitor, provides identity authentication and obtains video streams from an intranet device. Through the scheme, a third-party proxy server does not need to be deployed, virtual private network software does not need to be used for proxy, the video browsing step is simplified, and the hardware cost is reduced.

The invention discloses a Hash and feature selection-based software and hardware equipment fingerprint fine-grained generation method, and belongs to the technical field of power network software and hardware equipment fingerprint biomarker generation. Based on the information entropy and the self-correlation coefficient, the features used for generating the device fingerprints are screened out from the numerous features, representative and stable features are extracted from the device fingerprints, and selected feature parameters are converted into hash codes used for the device fingerprint generation and matching step; different devices are identified and distinguished hierarchically and accurately through a fine-grained device fingerprint generation step based on feature selection, a hash code and a Bayesian network.

The present invention relates to the field of computer technology, and discloses a network software development system, including: a software related information input unit, a system login module, a function front-end completion time estimation unit, a code writing module, a front-end code completion detection unit, an automatic notification module, and a front-end and back-end integration module; the software related information input unit is used to input the function front-end characteristics and quantity of the developed network software, the function front-end and back-end personnel information, and the function front-end estimated code volume into the system. The front-end developer's ability can be automatically judged and input, and the code volume required for the function front-end of the developed network software can be estimated, and the estimated front-end code volume can be entered into the system. In the process of front-end code writing, the front-end personnel can automatically estimate the time required for the front-end to complete according to the front-end personnel's code completion volume per hour combined with the front-end code estimate and the front-end personnel's ability level.

The invention belongs to but is not limited to the technical field of safety control, and particularly relates to an anti-seismic support hanger state information safety control system and method based on a block chain technology. Comprising a platform type wireless intelligent sensor, field and network complementary intelligent control network software, a platform type wireless intelligent execution driver, a communication device, a field memory, platform type network security software and a platform type block chain technology network. When the components of the method are off-grid, the components can independently operate for 30-120 minutes under the support of the most basic data of 1-2 associated points to wait for support, and the operation fault is safely processed. When central network platform software needs to support control, the priority of the central network platform software is software priority set on site, and the central network software is read and used at a high speed, so that the software security is ensured. Dynamic passwords specified by an original product manufacturer of the distributed equipment are used through operation data exchange of all the components and determined through a platform of the dynamic passwords, and the safety of the operation data is ensured.

Some examples involve applying a point-to-point security protocol to a network flow from a source application. In one example implementation, a network device can receive a network flow from a network client on a network. The network device can analyze a network packet of the network flow. Based on the analysis, the network device can identify the source application of the network flow. The network device can then refer to a lookup table in an integrated circuit (IC) on the network device that contains a point-to-point security protocol (PSP) policy for the source application. Based on the PSP policy in the lookup table, the network device can choose not to apply PSP-based encryption to the network flow from the source application.

The invention discloses a network routing mechanism vulnerability analysis method based on a graph neural network and a knowledge graph, and the method comprises the steps: carrying out the simulation of a network routing mechanism vulnerability analysis structure based on the graph neural network and the knowledge graph of a target low-orbit interconnection network topology, and designing a fault injection experiment for a routing program in the simulation network topology, dynamically collecting vulnerability information of a network routing mechanism, and constructing a vulnerability data set of the network routing mechanism; constructing a network routing mechanism vulnerability domain ontology NRMVO based on four dimensions of assets, a network, software and vulnerability; performing knowledge extraction on a program for realizing network routing, analyzing relevance between complex structure information of the routing program and vulnerability of the network routing program, and constructing a vulnerability knowledge graph of a target low-orbit internet routing mechanism; the result is stored in a graph database, and knowledge graph visualization is achieved; and constructing a target network routing mechanism vulnerability analysis model HGAT-BNR, and analyzing the vulnerability of the network routing mechanism from four dimensions of a data flow, a control flow, a call flow and an access flow. The method has the advantages of high efficiency and high accuracy, and an effective analysis method is provided for improving the reliability and safety of a network routing mechanism.

The present embodiments relate to proactive learning of network software problems. In an embodiment, a method includes receiving, by a detection system, webpage data from a computer system. The computer system can receive the webpage data from a plurality of client devices. The webpage data can be associated with user identifiers identifying each client device of the plurality of client devices. The detection system can then receive assistance data from a user assistance computer. The user assistance computer can receive the assistance data from a plurality of user devices. The assistance data can be associated with user identifiers identifying each user device of the plurality of user devices. The detection system can label the webpage data based on the assistance data including matching user identifiers and then determine at least a pattern based on the labeled webpage data.

Software updates by computational machines in a distributed system are facilitated by a server system that receives a master update from a remote server outside to the distributed system. The server system, which is in the distributed system, generates from the master update a first group of update metadata comprising less than all of master update and sends to a first plurality of computational machines in the distributed system first update materials, including the first group of update metadata and first filter criteria specifying characteristics of computational machines that are to locally store the first group of update metadata. A respective computational machine that satisfies the first filter criteria locally stores the first group of update metadata, obtains first update files based on the first group of update metadata, and updates one or more software programs using the first update files.

The present invention discloses a method, device, equipment and storage medium for downloading distribution network software. Compared with the existing method of searching for target control software in the cloud and manually downloading the target control software, in the present invention, by obtaining first software usage information of each control software in an associated local device and second software usage information corresponding to each control software in an external device, priority is sorted for each control software according to the first software usage information and the second software usage information to obtain a software sorting result, and the control software to be downloaded is determined according to the software sorting result, and the control software to be downloaded is downloaded, thereby overcoming the defect of low efficiency of manually searching and downloading control software in the prior art, thereby optimizing the download process of the control software and improving the download efficiency of the control software.

The invention provides a collaborative resource configuration optimization method and device, equipment, a medium and a program product, and the method comprises the steps: S1, drawing a directed topological graph for network software, network nodes and target nodes in combination with an actual use condition; s2, deducing a resource configuration matrix in combination with the directed topological graph inversion; s3, based on the resource configuration matrix, constructing a target node importance degree space set and a network software and target node matching degree space set; s4, constructing a global objective function based on the target node importance degree space set and the network software and target node matching degree space set, and calculating the cooperative resource utilization probability of the network nodes and the network software by using the global objective function; and S5, optimizing the use condition, and continuing to calculate the global objective function to obtain a collaborative resource configuration optimization result. The cooperative resource utilization rate of network nodes and software can be effectively improved.

Systems and methods for zero touch provisioning of a bare metal server to run radio access network (RAN) software. A method includes delivering a network boot program to a bare metal server in a preboot execution environment and causing the bare metal server to execute the network boot program. The method includes registering the bare metal server with a data center automation platform and instantiating a radio access network (RAN) application on the bare metal server.

A market parameter optimization system identifies optimized parameters for software associated with a telecommunication network market and causes the software to be configured based on the optimized parameters. The market parameter optimization system receives an indication of a telecommunication network market and one or more attributes of the telecommunication network market. The market parameter optimization system identifies one or more optimized parameters for software associated with the telecommunication network market based on the attributes of the telecommunication network market. The market parameter optimization system causes at least a portion of the software associated with the telecommunication network market to be configured based on the one or more attributes.

A system for configuring a network, comprising a network software installation system operating on a first processor and configured to install a current version of one or more algorithms on each of a plurality of site-specific hardware items and to configure each of the plurality of site-specific hardware items to interoperate with each other. A plurality of microbots operating on one or more of the plurality of site-specific hardware items, each microbot having state and configured to communicate with each other microbot over a microbot network.

A system for configuring a network, comprising a network software installation system operating on a first processor and configured to install a current version of one or more algorithms on each of a plurality of site-specific hardware items and to configure each of the plurality of site-specific hardware items to interoperate with each other. A plurality of microbots operating on one or more of the plurality of site-specific hardware items, each microbot having state and configured to communicate with each other microbot over a microbot network.

This invention provides an offline community detection method for software ecosystems based on co-evolutionary optimization. Software ecosystem networks are often dynamic, forming dynamic networks. Based on the network formation mechanism, dynamic networks can be divided into offline and online networks. The goal of dynamic network community detection in software ecosystems is to efficiently reveal the community structure and evolutionary patterns of the system, contributing to understanding individual interaction behavior and promoting the healthy and sustainable development of software ecosystems. This invention segments the dynamic network into several continuous multi-layer networks based on the similarity of the network at different time periods. It considers both the saliency of the intra-layer network community structure and the similarity of the inter-layer network community division. Nine offline software ecosystem networks with different characteristics are constructed using data crawled from GitHub. Comparative experimental results show that the proposed offline community detection method for software ecosystems is superior.

The invention belongs to the technical field of software derivation, and particularly relates to a method, a system and equipment for generating a user design interface according to a derived software interface configuration file. Obtaining a kernel module on which the current user module depends from the derived software interface configuration file; the software platform only loads a kernel module and a derived software interface display module which the current user module depends on; wherein the software platform is an automobile network software platform.

The embodiment of the invention provides a protocol testing method, device and equipment for coal mine networking software, a medium and a product. The method comprises the steps of obtaining original data collected by at least one sensor in response to an event of verifying a protocol file corresponding to iterative networking software; converting the original data based on the basic version networking software and the iterative networking software to obtain first data corresponding to the basic version networking software and second data corresponding to the iterative networking software; and sending the first data and the second data to a target server, so that the target server tests and verifies the first data and the second data to obtain the availability of the iterative networking software. Labor and time consumption is reduced, automatic processing is achieved, and test verification efficiency and accuracy are improved.

The application discloses a neural network software and hardware cooperative detection method and device, equipment and a storage medium, and relates to the technical field of deep learning, which comprises the following steps: inputting a first target image into a pre-trained neural network model for forward operation, and calculating the output resolution of the current network layer of the neural network; replacing the output resolution of the corresponding network layer stored in the network firmware with the calculated output resolution; after the replacement of all the network layer output resolutions stored in the network firmware is completed, reconfiguring the register command word in the network firmware, and starting the neural network hardware to accelerate detection. In the application, the resolution of the input neural network is variable, which can ensure that there is a detection object under the current resolution, and because the network resolution is smaller, the un-scaled image is clearer, the network performance is improved, and the bandwidth usage is reduced.