22 results about "Web API" patented technology

The invention discloses a GB / T28181 monitoring video stream efficient transmission and decoding method based on HTTP3 (Hyper Text Transfer Protocol 3) and electronic equipment. According to the method, the problems of high delay and high resource consumption of a traditional GB / T 28181 video monitoring Web end playing scheme based on WebSocket are solved by utilizing a new generation Web API (Application Program Interface) of WebTransport and WebCodec. According to the invention, through the UDP transmission capability of WebTransport based on HTTP / 3, the direct transmission of the RTP data packet from the server to the Web client is realized, and protocol conversion does not need to be carried out; the WebCodes is adopted to realize efficient hardware acceleration decoding of the client; and meanwhile, a multiplexing real-time monitoring and self-adaptive video quality control mechanism is provided. Compared with the traditional scheme, the method has the advantages that the end-to-end delay is remarkably reduced, the resource consumption of the server is reduced, the concurrency capability is improved, the video parameters can be dynamically adjusted according to the network condition, and the method is suitable for video monitoring application in various network environments.

The invention relates to a webpage API (Application Program Interface) depth discovery method, which comprises the following steps of: injecting a self-defined JS (JavaScript) code into a chromium browser which is started in a headless mode, triggering a webpage event and realizing request interception and hijack monitoring, and gradually triggering and completely traversing a functional process aiming at DOM0 and DOM2 events in the webpage code, meanwhile, a specific execution result is returned through a special DOM event of a HOOK part, the webpage is locked to avoid jumping in the triggering process, the DOM event on the webpage is triggered as completely as possible with the assistance of a field automatic filling function, and meanwhile, URL requests of webpage event functions are recorded and summarized. Compared with the prior art, the method has higher API discovery capability; according to the model, a browser event triggering and function HOOK technology method is adopted, the problems that a vulnerability scanner discovers and captures webpage URL paths and APIs are missing and incomplete are well solved, and the capacity of discovering the APIs and the vulnerabilities in the field of automatic vulnerability discovering is improved.

Approaches disclosed herein relate to dynamically determining and assigning user interface (UI) interaction modes across multiple multimodal devices based on real-time detection of input methods and screen sizes. Input methods are detected using web APIs. A screen size is determined using CSS pixel measurements and monitored for changes. CSS media queries are used to detect the effective resolution of the device's display. By applying breakpoints defined in CSS, the screen size can be categorized into predefined groups. The device state may be continuously monitored in real-time to identify any modifications, such as connecting or disconnecting input devices. Events triggered by these changes may be captured using the web APIs and event listeners. Such a system can listen for events like connecting or disconnecting devices to dynamically reassign the interaction mode. Such reassignment can be guided by an algorithm that prioritizes input methods based on the device's screen size and context.

A device (120) comprising the following: at least one memory (122) in which computer-readable instructions are stored which, when executed by at least one processor (124) coupled to the at least one memory (122), cause the at least one processor (124) to: to receive data from a web service client (150), wherein the data includes at least one operational request associated with a vendor-neutral application programming interface (API) procedure, wherein the at least one operational request includes at least one request to configure a tenant VPC in a Smart NIC (132), and wherein the vendor-neutral API procedure includes a RESTful data model (Representational State Transfer Web API); which modify at least one operational requirement to match a Fabric data model; Decomposing the modified at least one operation requirement into a multitude of operations that act on data associated with a vendor-specific API method, where the vendor-specific API method differs from the vendor-neutral API method; and Performing the multitude of operations that act on the data using the vendor-specific API method for passing to the vendor firmware (160).

An authorization server, method, and non-transitory computer readable medium for generating and managing at least one access token associated with a client. The authorization server may include a memory configured to store computer readable instructions; and processing circuitry configured to execute the computer readable instructions to cause the authorization server to map, within a database, at least one access token to an access token handle associated with a client, return the access token handle to the client, and selectively provide the access token to at least one web Application Programming Interface (API) in response to receipt of the access token handle from the at least one web API.

The application discloses a Web service representation method based on multi-view multi-level contrast learning, and comprises the following steps: acquiring a programmable Web dataset; acquiring Mashup text description and Web API text description based on the programmable Web dataset; inputting the Mashup text description and the Web API text description into a Sentence-BERT model to acquire Mashup text representation and Web API text representation; inputting the programmable Web dataset into a Web service interaction network model to acquire Mashup structure representation and Web API structure representation; respectively performing global contrast learning on corresponding text representation and structure representation to acquire corresponding global feature information; and adding the corresponding global feature information to acquire a Web representation vector. The method simultaneously considers feature information of Web services under multiple views, and extracts features in combination with multi-level contrast learning.

A cybersecurity appliance monitoring application traffic to a web application programming interface (API) dynamically updates tree structures for the web API using the application traffic. An API tree generator generates batches of API trees from paths indicated in the application traffic. An API tree merger / pruner updates the generated batches of API trees with various merging, pruning, compacting, and malicious detection operations on the generated batches of API trees. The cybersecurity appliance implements the updated API trees with an API agent that filters the application traffic prior to processing by the web API.

The invention discloses a method for detecting interface calling time consumption and a related device, and relates to the field of server operation and maintenance. The Spring interceptor of the server side responds to the received Web interface calling request sent by the user side, and the request time of the Web interface calling request is stored as the interface calling starting time; when it is detected that the processing of the Web interface calling request is ended, storing the processing ending time as interface calling ending time; on the basis of the interface calling starting time and the interface calling ending time, interface calling time consumption corresponding to the Web interface calling requests is determined, so that the time consumption condition of each Web interface calling request is detected in real time, and a maintenance basis is provided for operation and maintenance personnel.

Methods, systems, and computer-readable storage media for receiving a request of an API call from a client, the request including a query, determining a score for the request, the score representative of a burden that the request would place on technical resources, if the request were to be executed, in response to the score, providing a response including a set of actions without executing the request, orchestrating a set of API sub-calls based on the set of actions, each API sub-call returning a sub-call response, merging the sub-call responses to the set of API sub-calls to provide a final result, and returning the final result in response to the API call to the client.

A method for detecting Web API vulnerability attacks includes the following steps: Step S1, traffic extraction and parsing; Step S2, constructing user behavior sequences; Step S3, linguisticizing service interaction sequences; Step S4, inputting HTTP transactions and user behavior sequences into an intelligent detection engine, and performing traffic semantic detection and behavioral intent detection in parallel; Step S5, obtaining vulnerability attack alarm information; The detection system includes: a traffic extraction and parsing module; a user behavior sequence construction module for constructing user behavior sequences; a service interaction sequence linguisticization module; an intelligent detection engine module for identifying vulnerability attacks based on the HTTP transactions; a behavioral intent detection unit for reasoning and vulnerability attack identification; and an alarm output module; The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program executing the steps of the detection method; It has the characteristic of accurate detection.

The embodiment of the invention relates to the technical field of information, and discloses an interface security test method and device, a storage medium and a product, the interface security test method comprises the steps that a plurality of vulnerability detection plug-ins are constructed, the vulnerability detection plug-ins correspond to different interface security test categories, and the vulnerability detection plug-ins comprise basic principles of vulnerability types; obtaining interface information of the target interface and an interface associated with the target interface through the first intelligent agent; constructing a vulnerability scanning process through the first agent according to the interface information and the vulnerability arrangement information; performing vulnerability scanning on the target interface through the second agent according to the vulnerability scanning process to obtain a scanning result; therefore, by means of the endogenous ability of multiple agents, the workflow of a human penetration test engineer is simulated, through multi-step Web API calling, fine and meticulous vulnerability verification conforming to human thinking is achieved, the accuracy rate far higher than that of a traditional vulnerability scanner is achieved, and multiple vulnerability types difficult to cover by the traditional scanner can be covered.

The invention relates to the technical field of spaceflight information, in particular to a carrier rocket flight control information three-dimensional visualization platform based on digital twinning. The platform obtains and preprocesses rocket telemetry data from a MySQL database through a data acquisition and management module, and transmits the rocket telemetry data to an interactive display layer based on a Unity engine through a Web API; the interactive display layer comprises a comprehensive overview interface, a rocket information interface, an orbit information interface and the like, so that the rocket state and data are displayed in a three-dimensional visualization manner, and interactive operation between a user and a three-dimensional model is supported; meanwhile, the interface layout and style are optimized in combination with a visual design module; according to the method, the problems of incomplete data display, poor interactivity and the like in a traditional mode are solved, the flight state of the rocket can be visually presented, the user interaction experience is enhanced, powerful support is provided for real-time monitoring, decision support and design optimization of the carrier rocket, and the method has remarkable practical value.

The invention relates to the technical field of API recommendation, in particular to a Web API recommendation method fusing explicit and implicit network structure features, which comprises the following steps: acquiring and cleaning original data to obtain a cleaned data set; carrying out semantic coding on the data set and processing the data set by adopting a BERT model to obtain a vectorized function description vector; the comprehensive similarity of the Web API is calculated; the Web API collaborative network is used as an implicit network, and the Web API complex network is used as an explicit network; respectively learning implicit and explicit network features by adopting a double-layer double-channel graph convolutional neural network; fusing explicit and implicit network structure features to generate a Web API score; according to the method, explicit and implicit structure information in the service network is integrated, and the double-channel double-layer graph convolutional neural network is introduced into the recommendation framework, so that the problem that false connection exists in a network structure in a Web API recommendation method is solved.

Disclosed is a secure and distributed system for storing and consuming software bill of materials (SBOM). The system allows software publishers to create a software component and generate an SBOM that describes its dependencies. A web API then securely stores the SBOM on a distributed file system and publishes a hash of the SBOM to a public blockchain. When the software component is updated, a new SBOM is generated, and a signed hash of the new SBOM is stored in a new node on the blockchain. This preserves the history and auditability of the application's SBOMs. Third parties may query the web API to obtain the SBOM while ensuring the integrity and provenance of the information.

The invention discloses an application programming interface recommendation method and device of an application program development technology. The method and device are used for solving the technical problem that web API recommendation is inaccurate due to an existing mainstream web API recommendation method. The method comprises the following steps: acquiring a demand document, an affiliated type and selected API information of a to-be-developed application program, and simultaneously acquiring interactive adjacency matrixes of the application program and the API as well as the application program and the affiliated type, and metadata (including function description, the affiliated type and API calling information) of the existing application program; the functional semantic similarity is calculated by presetting a semantic component, based on the demand description and the selected API of the to-be-developed program and in combination with the functional description and the calling API of the existing program. And calculating the interaction similarity by utilizing a preset interaction component according to the interaction adjacency matrix, the category nodes to which the to-be-developed program and the existing program belong and the calling API information. And finally, integrating the two similarity indexes, and selecting a target calling interface from the calling API information of the existing program.

The application provides a vulnerability detection method and system based on an LLM intelligent agent and API specification, and belongs to the field of artificial intelligence and Web security, and comprises the following steps: S1: based on the OpenAPI specification, identifying potential vulnerability types of each API endpoint through a Web API risk endpoint identification module, and starting a vulnerability detection cycle for each endpoint and vulnerability type combination; S2: generating and sending a test request for the corresponding API endpoint according to the vulnerability type through a Web API vulnerability detection request sending module, and obtaining a test response; S3: determining whether a vulnerability exists by combining log analysis and active query through a Web API vulnerability detection response analysis module, and feeding back reasons and reiterating if the determination cannot be made. The method does not depend on actual traffic or client triggering, generates and sends a test request based on the OpenAPI specification through multi-agent cooperation, and then detects a vulnerability.

The invention discloses a Web service-based urban inland inundation one-two-dimensional coupling simulation method and system. The method comprises the following steps of receiving a simulation request containing a model configuration identifier and a rainfall event identifier through a standardized Web API (Application Program Interface); obtaining a pipe network model, a digital elevation model (DEM), Manning coefficient distribution and rainfall time sequence data based on the identifier; a one-dimensional model solver is called to execute pipe network hydraulic simulation, and overflow node space-time overflow quantity output at a minute-level interval is obtained; generating a point source boundary condition aligned with the calculation step length of the two-dimensional model; calling a two-dimensional model solver to execute overland flow simulation, and calculating space-time distribution of water depth of surface accumulated water; and the result is converted into a GeoTIFF format and is published through WMS service for front-end dynamic visualization. According to the method, the automation level, usability and visualization efficiency of urban waterlogging simulation are remarkably improved, and the method is suitable for urban planning, emergency management and public service.

The invention relates to the technical field of network equipment testing, in particular to a hot plug testing method for a switch and a related device. The method comprises the steps that a plugging instruction is sent to the industrial personal computer through the remote control module, and the industrial personal computer analyzes the plugging instruction based on a preset Web API protocol, generates a corresponding driving signal and sends the driving signal to the stepping motor driver so as to control the electric sliding table to drive the network cable clamp to execute the plugging action of the switch port. According to the invention, a physical plugging execution system and a real-time service monitoring system based on the electric sliding table are constructed, so that the problem of scene simulation distortion in the prior art is effectively solved. Specifically, according to the hot plug test method for the switch, the electric sliding table is driven by the remote control module to be linked with the network cable clamp, so that mechanical-level real plug of a switch port is realized.

The invention relates to an interactive Web API recommendation method based on reinforcement learning, which belongs to the field of Web API recommendation, and comprises the following steps: abstracting multiple rounds of Web API recommendation problems into a Markov decision process; designing a state representation module fusing user positive and negative feedback, demand semantic features and a Mashup and Web API feature interaction relationship; designing and deploying an environment simulator based on an offline data set; a double-layer deep Q network is adopted as a strategy function, and recommended actions are output according to the current state. A priority experience playback mechanism based on a time sequence difference error is introduced, and sampling priorities are dynamically distributed for interaction samples in the training process; and performing multiple rounds of interaction through a simulator, storing interaction samples in a priority experience playback buffer pool, periodically updating DDQN network parameters, synchronizing a target network by adopting a soft update strategy, evaluating a trained learning strategy, and outputting a recommendation list. According to the method, the sample utilization efficiency and the sorting quality in a sparse feedback scene can be effectively improved.

A Web API recommendation method based on a multi-channel hypergraph convolution network belongs to the service recommendation scene field under Mashup development, first extracts a hypergraph structure from the service by using a model body, studies the complex relationship between service data; then, in order to reduce the noise, a convolution weight matrix guided by a hybrid random walk is used in the hypergraph convolution, finally, according to the obtained weight matrix, convolution is carried out on the constructed hypergraph, and finally the convolution results on different channels are combined to obtain the representation vector of the service, and the Web API is recommended. The precision of the recommended application is higher.

The invention relates to a coal mine disaster monitoring and early warning method and system based on a mine gap operating system, and belongs to the technical field of coal mine safety. In order to solve the problems that an existing monitoring system is serious in information island, multi-source heterogeneous data fusion is difficult, and a unified risk evaluation system and mobile terminal active early warning are lacked, a coal mine safety data interaction standard and a multi-source heterogeneous data acquisition specification are established; unified acquisition and sharing of monitoring data of various disasters such as gas, water disaster, fire disaster, roof, dust and the like are realized; a mine safety risk quantitative index system and an anomaly automatic identification model are constructed, and disaster risk accurate analysis and fusion early warning are realized; a mobile terminal application program is developed based on a mine gap operating system, and alarm active pushing is achieved through a standard Web API interface. The problems that disaster data sharing is difficult, risk identification is inaccurate, early warning information transmission lags behind and the like are thoroughly solved, and the comprehensive prevention and control capacity and the intelligent management level of coal mine disasters are remarkably improved.

A cybersecurity appliance monitoring application traffic to a web application programming interface (API) dynamically updates tree structures for the web API using the application traffic. An API tree generator generates batches of API trees from paths indicated in the application traffic. An API tree merger / pruner updates the generated batches of API trees with various merging, pruning, compacting, and malicious detection operations on the generated batches of API trees. The cybersecurity appliance implements the updated API trees with an API agent that filters the application traffic prior to processing by the web API.