19 results about "Web presence" patented technology

The invention discloses a network and log intelligent management method. The method comprises the following steps: deploying a network monitoring tool and a log analysis tool in a target network; defining a network monitoring index, monitoring a target network in real time through a network monitoring tool, and obtaining log data through a log monitoring tool; carrying out fusion analysis on the network monitoring information and the log data, and judging whether the target network is abnormal or not according to an analysis result; and defining an alarm mechanism, and giving an alarm when the target network is abnormal. Abnormalities in a system and a network can be quickly found through monitoring, the processing time is shortened, the availability and stability of the system and the network are improved, and configuration optimization can be carried out on network resources through monitoring; potential problems can be identified and prevented through data analysis; the network monitoring information and the log data are fused and analyzed, so that the anomaly detection capability can be further enhanced; and by establishing a sound monitoring and emergency alarm mechanism, the continuity and stability of the service are ensured.

A method includes generating, by a large language model (LLM), a multitude of search queries from a user input term obtained from a user application. The method further includes, executing, by the LLM, the multitude of search queries to obtain a multitude of verified search results regarding a multitude of candidates. A multitude of web presence schemas corresponding to the multitude of candidates from the multitude of verified search results is generated. The method further includes web-scraping a multitude of websites of a subset of candidates selected from the multitude of candidates to obtain a set of corresponding web-scraping payloads. The method further includes merging the corresponding web-scraping payloads with corresponding web presence schemas of the subset of candidates to obtain a multitude of updated web presence schemas. The method further includes presenting the multitude of updated web presence schemas of the subset of candidates in the user application.

The embodiment of the invention provides a network security vulnerability detection method, device and equipment. The method comprises the following steps: acquiring network access data of a target network, and determining a request data and response data pair from the network access data; in response to sensitive information which is detected from the request data and the response data of the response data pair and affects the data security, determining a request element corresponding to the sensitive information from the request data and the request data of the response data pair; replacing the parameters of the request elements, and reconstructing the request data by using the request elements with the replaced parameters to obtain target request data; and obtaining target response data in the access network data corresponding to the target request data, and if it is detected that the target response data comprises sensitive information, determining that the target network has network security vulnerabilities. The method is used for improving the protection effect on network security vulnerabilities.

Systems and methods for detecting the presence of a body (typically a human) in a network without fiducial elements while additionally using fiducial elements to assist the system and possibly reduce the computational loading on the system. The fiducial element may be used in many ways including, without limitation, assisting in ignoring some bodies present in the detection area and training the system using additional data.

A system and method for improved application path selection for cloud-based applications from a client device. In one embodiment, a method includes collecting metrics of a remote user's use of one or more cloud-based applications, categorizing the one or more cloud-based applications based at least in part on the collected metrics, determining one or more secure network paths based at least in part on the categorizing of the one or more cloud-based applications, establishing the one or more secure network paths between the remote user and one or more network points-of-presence, and routing data traffic for the one or more cloud-based applications through the one or more established secure network paths.

The invention provides a maximum utility-oriented unmanned cluster data on-demand sharing method and device, and relates to the technical field of unmanned aerial vehicle communication. According to the method, a content distribution model, a bidding model of each content consumer and an offer model of each content producer in an unmanned aerial vehicle naming data network are constructed based on a content sharing incentive mechanism of iterative bilateral auction, and after a current bidding vector of each content consumer and a current offer vector of each content producer are obtained, a content distribution model is established; and solving the current content demand vector of each content consumer, the updated bid vector, the current content supply vector of each content producer and the updated price vector by applying the model, and carrying out iterative updating until the bid vector and the price vector reach a preset convergence condition. The application of the model can effectively encourage the content producer to participate in the data market, thereby alleviating the technical problem of poor data sharing activeness of the existing unmanned aerial vehicle named data network.

The application discloses a collaborative office network security management method and system based on artificial intelligence and a medium, belongs to the technical field of artificial intelligence network security, and is used for solving the technical problem that when the existing collaborative office network has network abnormal conditions or network security events, the emergency mechanism mainly depends on manual intervention, and the response efficiency is low when data leakage or system paralysis is caused. The method comprises the following steps: through an edge computing node and based on an artificial intelligence engine architecture, performing edge preprocessing on initial office network data about adversarial samples to obtain a network feature matrix based on the initial office network data; through the artificial intelligence engine architecture, performing double-channel network anomaly detection processing on the network feature matrix to obtain network anomaly detection result data; and according to the network anomaly detection result data, performing corresponding network risk response actions and automatically generating a network anomaly solution strategy.

Disclosed in the present invention is a network and log intelligent management method, comprising the following steps: deploying a network monitoring tool and a log analysis tool in a target network; defining a network monitoring index, monitoring the target network in real time by means of the network monitoring tool, and acquiring log data by means of a log monitoring tool; performing fusion analysis on network monitoring information and the log data, and on the basis of the analysis result, determining whether the target network has had an anomaly; and defining an alarm mechanism, and issuing an alarm when the target network has had an anomaly. By implementing monitoring, the present invention can discover anomalies in a system and a network quickly, thus reducing the processing time, improving the availability and stability of the system and the network, and by means of monitoring, performing configuration and optimization on network resources; the present invention can identify and prevent potential problems by means of data analysis, and can perform fusion analysis on network monitoring information and log data, so as to further enhance the anomaly detection capability; and by means of establishing a robust monitoring and emergency alarm mechanism, the present invention can ensure continuity and stability of services.

The invention discloses a network resource calling optimization method and device. The method comprises the following steps: acquiring an atlas change event set and network service demand information of a target network in a preset time period; updating the network time sequence atlas of the target network according to the atlas change event set; judging whether the target network is abnormal or not according to the updated network time sequence graph; and under the condition that the target network is abnormal, analyzing the updated network time sequence atlas and the network service demand information by using a pre-trained strategy decision model to obtain a corresponding target network resource scheduling strategy, and optimizing the network resource scheduling of the target network according to the target network resource scheduling strategy. According to the method and the device, the technical problem that the real-time service requirement of a user is difficult to meet due to poor accuracy and timeliness of a scheduling result when network resource scheduling is carried out based on a regularly updated network static graph in the prior art is solved.

The invention relates to the technical field of network security, and particularly provides a traffic fingerprint detection method and device, a storage medium and electronic equipment, the method is applied to network equipment using a Bypass mode in an abnormal state, and the method comprises the following steps: receiving a service traffic fingerprint; detecting the service flow fingerprint by using a flow fingerprint detection tool to obtain a detection result; wherein the detection result represents whether the business flow fingerprint is abnormal or not; and under the condition that the detection result represents that the service flow fingerprint is normal, sending the service flow fingerprint to target equipment. According to some embodiments of the invention, security protection can be performed on the network in the Bypass mode, and the risk that the network is attacked is avoided.

This invention discloses a video anomaly behavior recognition method based on knowledge distillation using a relaxed divergence function. This method allows for a more relaxed matching of the outputs of the teacher network and the student network, thereby improving the knowledge distillation effect. The specific implementation method is as follows: First, consecutive video images are randomly extracted from the entire dataset and preprocessed as training samples. Then, these samples are fed into the proposed teacher network for training to obtain the optimal parameters. Next, the optimal parameters of the teacher network are used to distill and train the student network. Due to the significant capacity difference between the teacher network and the student network, the proposed relaxed divergence function is used to match the output confidence of the two networks. Finally, soft loss and hard loss are used as a joint loss function to backpropagate the error of the student network, thereby optimizing the parameters of the student network to achieve optimal results.

The invention discloses a collaborative office network security management method and system based on artificial intelligence, and a medium, belongs to the technical field of artificial intelligence network security, and is used for solving the problem that when an existing collaborative office network has a network abnormal condition or a network security event, an emergency mechanism mainly depends on manual intervention, and the network security is influenced. And the response efficiency is low when data leakage or system paralysis is easily caused. The method comprises the steps of performing edge preprocessing of related adversarial samples on initial office network data through an edge computing node based on an artificial intelligence engine architecture to obtain a network feature matrix based on the initial office network data; performing dual-channel network anomaly detection processing on the network feature matrix through an artificial intelligence engine architecture to obtain network anomaly detection result data; and executing a corresponding network risk response action according to the network anomaly detection result data, and automatically generating a network anomaly solution strategy.

The invention relates to the technical field of communication, in particular to a communication network virtualization topology construction method, which comprises the following steps of: summarizing and reporting equipment information in each domain; discovering inter-domain resources based on the summarized data; performing multi-domain resource topology construction based on inter-domain resources; performing multi-domain service path planning according to a link establishment requirement issued by the network management platform; performing single-domain path planning based on business requirements; and service activation is carried out after each single domain completes service calculation. According to the method, through key links such as information summarization, resource discovery, topology construction, path planning, implementation and activation, optimal management of network resources and quick response of service requirements are realized, and the overall efficiency and reliability of the network are improved. Therefore, the problems that a multi-domain heterogeneous network structure of a current enterprise park communication network is rigid, and resources cannot be managed and controlled in a unified mode are solved.

The present invention provides a method and device for on-demand data sharing of unmanned clusters oriented to maximum utility, which relates to the technical field of unmanned aerial vehicle communication. The method constructs a content allocation model, a bid model for each content consumer, and an asking price model for each content producer in the named data network of unmanned aerial vehicles based on the content sharing incentive mechanism of iterative bilateral auction. After obtaining the current bid vector of each content consumer and the current asking price vector of each content producer, the above models are applied to solve the current content demand vector of each content consumer, the updated bid vector, the current content supply vector of each content producer, and the updated asking price vector. Through iterative update, until the bid vector and the asking price vector reach the preset convergence condition. The application of the above models can effectively encourage content producers to participate in the data market, thereby alleviating the technical problem of poor data sharing activity existing in the existing named data network of unmanned aerial vehicles.

The invention discloses an Internet of Things router control method based on application scene network environment self-adaption, and relates to the technical field of network equipment, and the method comprises the steps: carrying out the classification to obtain suspicious traffic and reliable traffic; obtaining an access restriction index set of the router; forming a suspicious value range of the access restriction index set; forming a reliable value range of the access restriction index set; dividing suspicious traffic generated in the suspicious value interval into malicious traffic and unrecognizable traffic; forming at least one to-be-banned scheme, calculating banning efficiency of the to-be-banned scheme, and calculating a reliable data banning influence value of the to-be-banned scheme; obtaining a screening coefficient of the to-be-banned scheme; and selecting the to-be-banned scheme with the maximum screening coefficient as a target banned scheme. The to-be-banned scheme with the maximum screening coefficient is selected as a router access control scheme, and meanwhile, the banning effect on malicious traffic and the influence on reliable traffic are considered, so that the risk existing in a network controlled by the router is reduced.

The application discloses a network situation assessment method, device, equipment, storage medium and program product. The scheme specifically comprises the following steps: acquiring mirror data in a trapping network, the mirror data comprising attack behavior data of a target IP address and a trapping point identifier, and the mirror data being stored in the form of a data linked list; clustering the mirror data for each trapping point corresponding to the same trapping point identifier in a head node of the data linked list, to obtain attack behavior data categories included in the mirror data of each trapping point; calculating a risk value of the trapping point by using a vulnerability score of a network node corresponding to the trapping point and the data linked list, for each trapping point corresponding to the same trapping point identifier in the head node of the data linked list; calculating a network situation value based on the risk values of all the trapping points; and determining that there is a security problem in the network when the risk value of the trapping point is greater than a preset trapping point threshold value or the network situation value is greater than a preset situation threshold value. In this way, the network situation can be accurately evaluated.

The present invention proposes a CDN-based file resource management system and method. The file resource management method includes: configuring the CDN network according to resource management requirements set by the user; the CDN network screening the target edge node corresponding to the user based on the user's file resource upload parameters to determine the target edge node corresponding to the user; the CDN network sending and caching the real-time uploaded content information of the file resource to the target edge node within the CDN network, and the target edge node sharing the data with other edge nodes of the CDN network; real-time monitoring of the operating parameters of the CDN network and issuing an abnormality alarm when an abnormality occurs in the CDN network. The system includes modules corresponding to the steps of the method.

Systems and methods for detecting the presence of a body (typically a human) in a network without fiducial elements while additionally using fiducial elements to assist the system and possibly reduce the computational loading on the system. The fiducial element may be used in many ways including, without limitation, assisting in ignoring some bodies present in the detection area and training the system using additional data.

Systems and methods for beacon-based network management are disclosed. A first device is configured to transmit a broadcast message indicating a presence of a first network. The broadcast message can include credentials for a second network. A second device is configured to receive the broadcast message, retrieve the credentials for the second network, and access, via provision of the credentials to a third device, the second network.