9 results about "Real-time web" patented technology

The application provides a multi-protocol file transmission state visualization method and system of an intelligent conference terminal, relates to the technical field of data transmission, and through innovative design of protocol identification and priority ordering, in combination with an electrostatic fluctuation correlation coefficient and a buffer influence factor adjustment strategy, can not only dynamically optimize a transmission protocol path, improve transmission efficiency and stability, but also effectively reduce the negative influence of electrostatic disturbance on the transmission process, guarantee the transmission stability of the system in a complex environment; a distributed buffer adjustment strategy is adopted, the optimal file transmission protocol path is selected according to real-time network environment evaluation, the efficient and stable transmission process is ensured, and a visualization interface convenient for users to quickly obtain information is provided, so that the user experience and the actual operation effect of the conference are significantly improved.

The application discloses a CC attack intelligent defense method, device and equipment based on a large language model, comprising: performing traffic semantic translation on captured real-time network traffic to generate a semantic description object including a time sequence behavior sequence and context features; inputting the semantic description object into a domain fine-tuned large language model to perform attack intention reasoning to obtain a threat judgment result, generating a corresponding dynamic defense strategy description based on the threat judgment result; compiling the dynamic defense strategy description into an executable instruction sequence, and issuing the executable instruction sequence to a downstream security device to drive execution to obtain an execution result; based on the execution result, monitoring network traffic situation and business indicators after the downstream security device executes the strategy to generate strategy effect evaluation data; and optimizing the large language model based on whole-link data including the semantic description object, the threat judgment result, the dynamic defense strategy description and the strategy effect evaluation data.

This invention proposes a method and system for detecting false threat intelligence based on dynamic graph contrastive learning, belonging to the field of network security technology. The method includes: acquiring CTI reports to construct a heterogeneous CTI subgraph with semantic features; acquiring communication network logs to construct a real-time network behavior graph; fusing the two into a global heterogeneous temporal graph based on IoC anchors; constructing feature encodings for the CTI semantic view and network behavior view using GAT and temporal GNN respectively; minimizing the contrastive loss through a graph contrastive learning (GCL) framework to learn a unified embedding space; and finally calculating the embedding distance of the CTI to be verified under the dual views as an anomaly score for detection. This invention, through a "semantic-behavioral" cross-validation mechanism, solves the problems of existing technologies relying on external reputation, being unable to identify semantic forgery, and lacking local fact verification, significantly improving the accuracy and robustness of threat intelligence detection, and is particularly suitable for scenarios with high data privacy requirements, such as telecommunications operators.

The application relates to a network traffic dynamic control method and system based on priority scheduling, which comprises the following steps: collecting real-time network traffic data packets and extracting real-time traffic feature vectors, generating a queue based on initial priority weight matching of a historical database; obtaining a basic dynamic adjustment factor by calculating a real-time load state, and generating a timeout risk compensation value according to the proportion of the queuing waiting time and the protocol timeout threshold of low-priority data packets, and superimposing the two to obtain a target priority weight; generating a scheduling instruction set according to the weight proportion and distributing the scheduling instruction set to network equipment for execution; finally, extracting an actual transmission delay according to the returned performance log, calculating the deviation value of the actual transmission delay and an expected delay to generate a weight update parameter, and feeding back the weight update parameter to the historical database to update the matching logic. The application takes into account the global link load balancing and the timeout retransmission risk prevention and control of low-priority traffic, and realizes the precision and adaptive dynamic optimization of the network traffic scheduling strategy.

The present disclosure relates to a method (300) and a provisioning unit (200) for providing real-time network slice usage metrics. The provisioning unit (200) is commutatively coupled to at least one network slice admission control function (NSACF) server (145). The provisioning unit (200) is configured to receive a request, from a computing device, for providing network slice usage metrics. The provisioning unit (200) is configured to establish a connection with the NSACF server (145), and a at least one data source (150) associated with the NSACF server (145) and extract network slice usage data from the at least one data source (150). The provisioning unit (200) is further configured to process the extracted network slice usage data to generate a plurality of network slice usage metrics. The provisioning unit (200) is configured to categorize the generated plurality of network slice usage metrics slices based on distinct access types.

The present disclosure discloses an apparatus and method for real-time web-based urban flood simulation. An apparatus for urban flood simulation according to the present disclosure includes a hardware processor and a storage unit connected to the processor to store a digital elevation model of a city, city design information and precipitation information, and at least one computer program configured to perform the method for urban flood simulation. The method for urban flood simulation includes (a) generating simulation zone information and water flow information using the digital elevation model of the city and the city design information, (b) generating flood-related information using the simulation zone information, the water flow information, and the precipitation information, and (c) visualizing and displaying the flood-related information.

The application discloses a kind of Internet of Things network fault monitoring systems, including the following modules: hierarchical acquisition module, data preprocessing module, adaptive threshold module, abnormal analysis module, fault location module, hierarchical response module, closed-loop optimization module, the application also discloses a kind of Internet of Things network fault monitoring method, including the following steps: hierarchical data acquisition, data preprocessing and feature screening, adaptive threshold generation, abnormal clustering and fault preliminary judgment, fault mode matching and accurate positioning, hierarchical response and closed-loop optimization.In the application, the threshold is dynamically adjusted by combining historical data with real-time network load, and the threshold validity is verified with the device type weight correction, which effectively improves the threshold adaptability and fault determination accuracy, and then through K-means clustering, the abnormal classification, structured fault mode library and weighted matching algorithm are cooperatively determined, and the location identification information is accurately positioned, which greatly improves the accuracy of abnormal analysis and fault location.

An adaptive bitrate transmission method, system, device, and storage medium relate to the field of streaming media transmission optimization. The method involves acquiring multimodal data of the current live stream and determining the product switching time based on the multimodal data; before the product switching time, acquiring first audio data of the current live stream and identifying the product type of the new product in the first audio data; after detecting the product switching, extracting key features of the new product and determining the key display area of ​​the new product based on the key features; obtaining a hierarchical bitrate optimization strategy based on the product type and key display area of ​​the new product; determining a bitrate transmission strategy based on the hierarchical bitrate optimization strategy and the real-time network transmission rate of the current live stream; and transmitting the live video corresponding to the new product according to the bitrate transmission strategy. This allows the bitrate to adapt to the display requirements of the new product in a timely manner.