34 results about "Internet users" patented technology

The invention discloses an accurate analysis method for Internet user behaviors based on artificial intelligence, and the method belongs to the technical field of Internet, and comprises the steps: collecting user behaviors and basic attribute information through a multi-source data collection technology, and integrating data through a data fusion algorithm after data cleaning and preprocessing; designing and extracting a plurality of behavior features, screening key features by using a feature selection algorithm, and performing feature transformation processing at the same time; constructing a deep learning model fusing a recurrent neural network (such as LSTM and GRU), a convolutional neural network and the like, training the model by using a large-scale data set, and optimizing parameters; establishing a real-time analysis system, inputting new data into the model in real time, providing personalized service and recommendation according to an analysis result, and collecting feedback data to update the model online; and finally, evaluating the model by adopting multiple evaluation indexes, verifying the generalization ability through methods such as cross validation and the like, and further optimizing and adjusting the model.

The invention provides a satellite internet endogenous security grading identity authentication method based on dynamic trust evaluation, which comprises the following steps: a user registration stage: collecting and storing all identity information of a satellite internet user and information of entity equipment used for login; in a user login stage, performing identity authentication on the user according to a security level identity authentication process corresponding to the user login authentication identity, and allowing the user to log in after successful authentication; and determining an initial trust value based on the user identity information, obtaining a dynamic trust score based on the dynamic behavior and the initial trust value, and judging that the identity is abnormal when the dynamic trust score is lower than a set security threshold.

The invention discloses an internet user behavior accurate analysis method based on artificial intelligence, which belongs to the technical field of internet and comprises the steps of S1, data acquisition and privacy enhancement processing, S2, behavior modeling and transparent analysis, S3, real-time risk prevention and control and abuse blocking and S4, feedback closed loop and continuous optimization. On the basis of analyzing user behaviors, the traditional contradiction between privacy and efficiency can be broken through, and systematic improvement of safety and efficiency can be achieved.

A method for authenticating the identity of a user who is attempting to access a website or conduct a transaction is described. The method involves receiving two geographical locations, and associated time stamps, of a mobile phone associated with the user, one of the locations being the location of the transaction or access attempt. The method determines whether the speed required to travel between the two geographical locations in the elapsed time is within acceptable limits. A confidence score, derived in part from this calculation, is taken into account when deciding whether to allow or deny the access or the transaction.

The invention discloses an Internet user behavior accurate analysis method based on artificial intelligence. The method comprises the following steps: obtaining user behavior data of an Internet platform; inputting the user behavior sequence into a Mamba network to generate a behavior state vector; inputting the commodity image set into an improved DeiT model, and setting a hierarchical feature routing controller; executing cross-modal feature interaction to generate a fusion feature tensor; inputting the fusion feature tensor into an IQL network; updating a fusion weight, high-level attention mapping and a routing control vector based on a value gradient resonance feedback mechanism; and outputting a user behavior analysis result and a personalized recommendation result. According to the method, the accuracy of Internet user behavior prediction and personalized recommendation can be remarkably improved, and the method is suitable for scenes needing high-precision user portraits and intelligent recommendation, such as a large-scale e-commerce platform and a content distribution platform.

A method for authenticating the identity of a user who is attempting to access a website or conduct a transaction is described. The method involves receiving two geographical locations, and associated time stamps, of a mobile phone associated with the user, one of the locations being the location of the transaction or access attempt. The method determines whether the speed required to travel between the two geographical locations in the elapsed time is within acceptable limits. A confidence score, derived in part from this calculation, is taken into account when deciding whether to allow or deny the access or the transaction.

To provide an information processing system and method for reducing labor and time when manually monitoring contribution information contributed to a plurality of contribution sites.SOLUTION: In the information processing system, a management server 10 includes an acquisition unit 11 that acquires posted information corresponding to a specific object from each of a plurality of posting sites (posting site servers) that disclose posted information posted by users who have used the specific object on the Internet, and an output unit 12 that outputs the posted information corresponding to the specific object acquired from each of the plurality of posting sites to be displayed in a list.SELECTED DRAWING: Figure 2

The present invention discloses a method for intelligently generating a three-dimensional target based on a single photo, comprising the following steps: S1, constructing a data set, including a single character model and a scene composed of multiple characters, obtaining textured renderings under multiple perspectives and original height maps under corresponding perspectives; S2, constructing a feature extraction network model, wherein the feature extraction network model includes a structural feature extraction module and a detail feature extraction module, inputting an original height map, obtaining a structural height map through the structural feature extraction module, and obtaining a detail height map through the detail feature extraction module; S3, obtaining a complete three-dimensional target image model through weighted fusion of the obtained structural height map and detail height map; S4, performing optional post-processing on the three-dimensional target image model to perform feature enhancement. This method reduces the dependence and requirements of the process on equipment and professional skills, lowers the threshold for each Internet user to produce virtual content, and makes it as convenient as taking a photo.

This application provides a general online AI streaming processing method, apparatus, device, and medium. The method includes: querying the cached results in the video AI buffer of an AI server based on a video prediction request sent by a user; if no cached result corresponding to the URL address is found in the video AI buffer, the video AI processing thread of the AI ​​server checks whether a playback instruction sent by the user has been received within a preset time threshold from the first current time; if a playback instruction sent by the user is confirmed to have been received, the video AI processing thread retrieves the video image from the media server pointed to by the URL address, and sends the AI ​​prediction result of the video image as the cached result corresponding to the URL address to the video AI buffer. This method allows a wide range of internet users to find different media servers based on different URL addresses and perform online AI prediction on the video images from the media servers, which is very convenient.

[Problem] To realize interactive participation in a virtual funeral in real time, to improve emotional connectivity, and to enable sharing of a realistic sense of presence and live attendance.　[Solution] The present invention comprises: a virtual space management unit that manages and controls a virtual space including a virtual funeral hall that is set on the coordinates of the virtual space; a real space management unit that acquires, on the coordinates of a real space including the three-dimensional outline of a funeral hall installed in the real space, a geographical element within the real space; a capture unit that acquires the current position and behavior of a real user in the real space; a virtual space data generation unit that, on the basis of the current position and behavior of the real user acquired by the capture unit, generates virtual space data in which a synchronous avatar and a related object appear in the virtual space; and a distribution unit that distributes the virtual space data in a viewable manner through a communication network. The virtual space data generation unit causes a remote avatar of a net user to appear in the virtual space in accordance with a remote operation performed by the net user.

The application discloses a DNSKEY smooth change-based authoritative server abnormal change detection method and system, and belongs to the DNS security field. The application is based on the rule that DNSKEY cannot be directly updated along with the change of the authoritative server of a domain name, uses trusted DS records to verify DNSKEY, thereby verifying the authenticity of the change of the authoritative server of the domain name, and accurately identifying the abnormal change of the authoritative server. A DNSKEY smooth change-based authoritative server abnormal change detection system is constructed, can perform timed detection on the domain name, accurately identifies the abnormal change of the authoritative server of the domain name, and avoids the adverse effects of the domain name on internet users after the domain name is maliciously tampered with.

The present application relates to the technical field of artificial intelligence, in particular to a slow internet user identification method, device and equipment and computer storage medium. The slow internet user identification method disclosed by the present application uses the random forest and curve fitting method in machine learning to identify the slow internet user of home broadband. The random forest algorithm is used to determine the importance of the index, the curve fitting is used to determine the index threshold, the slow internet user identification rule is obtained, and the slow internet degree of the user identified as the slow internet user is calculated through the formula, so that the quantitative division of the slow internet user is realized, and the accuracy of the slow internet user identification is improved.

The infectious disease early warning data processing method based on Internet platform search provided by the present invention relates to the technical field of infectious disease early warning. The method includes collecting and preprocessing Internet user search data, extracting infectious feature information, and constructing an infectious disease feature database; determining the users to be observed through matching, determining their locations, and analyzing the spread of infectious diseases; recording the statistical information of the users to be observed, integrating it into disease observation information and storing it as historical disease information; using the historical disease information to construct a training set, training local and neighboring area logistic regression models, adjusting the local prediction value with the neighboring area prediction value, and integrating to obtain a common infectious disease prediction model. This method can capture the epidemic signal before patients seek medical treatment, give early warnings in advance, cover the population who have not sought medical treatment, accurately monitor in combination with IP positioning, eliminate data blind spots, and improve the comprehensiveness and representativeness of monitoring.

The present application relates to the field of data feedback analysis, and more particularly to an internet new media data feedback generation method and system. The method comprises the following steps: obtaining new media video in production and internet user feedback big data; performing multi-period decomposition and individual video segment deep semantic analysis on the new media video to construct multiple content label video segments; performing social communication effect mining and video communication effect conversion rate calculation according to the internet user feedback big data to generate the social communication conversion rate of each video segment; performing positive and negative communication effect inference according to the social communication conversion rate, and performing communication conversion value evaluation on the multiple content label video segments to generate the communication conversion value of each video segment. The present application dynamically optimizes new media data based on user demand and interest feedback, and extracts the quality and communication effect of video content.

Techniques for anonymizing user activity. Messages from a C3N user device may be processed by a proxy application running within a containerized environment of the device. Messages may be directed to a C3N grid network for endpoints located within the C3N ecosystem and avoid the Internet entirely. User activity can be obfuscated by nodes of the grid network, which can generate and / or route fake messages along with a real message.

Methods and systems for identifying potentially harmful misdirection to a malicious URL to thwart a malicious phishing attack. The methods and systems capture an image of a target URL of a high-risk website and analyze the captured image to compare the apparent meaning of the captured image to a set of known URLs. Differences between the captured image and the known URLs are calculated based on a zone of familiarity for an Internet user calculated on prior computer activity of the user and a departure of the target URL from the zone of familiarity. The method and system identify whether the target URL is a potentially malicious URL based on the calculated difference. A warning is generated if the target URL is identified as a potentially malicious URL.

An exemplary system and method for employing (i) a private spectrum bastion configured to verify every request to access a public server and respond to the requests with puzzles having spectrum access information to limit the impact of malicious traffic to a network spectrum, and (ii) privacy-preserving transmission and authentication protocols that obfuscate internet users' identifications when they request access from or communicate with a public server. The bastion provides computational puzzles embedded with spectrum access information to throttle malicious traffic at the network spectrum. The bastion operates with post-quantum cryptographic components and privacy-preserving protocols. The privacy-preserving protocols remain confidentiality of user identities and access patterns.

The invention provides a quasi-real-time dynamic IP blacklist control method, a storage medium and electronic equipment. The method comprises the following steps: collecting log data accessed by Internet users based on a distributed message queue; acquiring user access feature data for the log data accessed by the internet user based on a real-time analysis database; judging whether an abnormal IP identification process is triggered based on the user access feature data, performing abnormal IP risk assessment based on the user access feature data, a plurality of preset abnormal IP matching factors and a priority sequence of the matching factors when the abnormal IP identification process is triggered, and determining a blacklist IP list according to a result of the abnormal IP risk assessment; and synchronizing the blacklist IP list to a cache service, and intercepting the IP in the blacklist IP list based on interaction between a web service and the cache service. According to the invention, the real-time performance and accuracy of IP blacklist protection can be effectively improved.

The present application discloses a load balancing method, system and storage medium. The method includes: passing the load balancing parameters configured at the Octavia front end to the configuration file of Nginx through the Amphora agent, and restarting and monitoring the status of Nginx; after receiving a user request, using the full-user-space F-stack to directly transmit the request data packet from the network card to the Nginx in the user space; running Nginx in multiple processes to concurrently receive and distribute the request data packets to the resource pool members providing services, so as to perform load balancing and response of request messages. In this way, the resources and time consumed by packet forwarding can be reduced, the quality and efficiency of the load balancing service can be significantly improved, the utilization rate of computing resources in the cloud environment and the response efficiency of requests in the cloud environment can be greatly enhanced, and the high-concurrency request requirements of Internet users can be met.

The present invention belongs to the technical field of network security event analysis and discloses a network security event analysis method, comprising: collecting network security event information, the network security event information including hazard factors; receiving computer infection quantity information, propagation speed information, and direct loss information in the hazard factors, marking the computer infection quantity information, propagation speed information, and direct loss information as Jsi, Csi, and Zsi, respectively, performing a formulaic analysis on the information to obtain an event hazard coefficient Whxi; generating a high hazard mark, a medium hazard mark, and a low hazard mark for a corresponding network security event according to the magnitude of the event hazard coefficient Whxi; and rationally and effectively filtering out network security events with low hazard levels by analyzing the hazard factors of the network security events, thereby enabling Internet users to clearly recognize and understand the real security threats in the target network, drawing sufficient attention thereto, and reducing losses caused by the corresponding network security events.

This invention belongs to the field of internet user preference prediction technology, specifically relating to a user preference prediction method based on data debiasing. The method includes: acquiring video data and user data; processing the video data and user data using an embedding layer to obtain user embeddings and video embeddings; debiasing the user embeddings and video embeddings to obtain debiased user embeddings and debiased video embeddings; processing the user embeddings, video embeddings, debiased user embeddings, and debiased video embeddings using a feature filtering layer to obtain user-specific feature importance weights and video-specific feature importance weights; processing the user-specific feature importance weights and video-specific feature importance weights using a factorization machine to obtain a user interest representation vector; and inputting the user interest representation vector into an output layer for processing to obtain the user preference prediction result. This invention can accurately and effectively predict user preferences, improving the accuracy of user preference prediction.

This invention discloses an intranet traversal system, comprising a client and a server. The client runs on a computer within a local area network (LAN), and the server runs on a cloud host. Each client connects to an internal service within the LAN. When the corresponding internal service requires traversal, the client initiates a connection request to the server. The server receives the connection request from the client, establishes a tunnel with the client, and starts a proxy service for the internal service corresponding to that client. The proxy service receives access requests from internet users and forwards them to the internal service within the LAN via the server and client. This invention provides strong computing and storage services while controlling costs and simplifying intranet traversal operations.

The invention relates to the technical field of data processing, in particular to a power internet sensitive personal information compliance risk early warning method and system. The risk early warning method comprises the following steps: acquiring sensitive personal information types of power internet users; determining a personal information processing stage of the sensitive personal information type; calling a first AI model, inputting a sensitive personal information type and an information processing stage, and respectively obtaining a user right influence weight and a safety guarantee level corresponding to the sensitive personal information type; calling a second AI model, and inputting a user right influence weight and a safety guarantee level to obtain a sensitive personal information compliance risk level; and sending risk early warning information according to the compliance risk level. According to the invention, compliance evaluation and early warning can be automatically carried out on sensitive personal information of the power internet, and the accuracy of compliance work is improved.

This invention belongs to the field of internet user access experience technology, specifically relating to an internet access quality monitoring system and method for real-time perception of user experience. This invention constructs a diffusion intensity index by using the adjacency matrix change rate and the experience quality index change rate. This index can identify whether network quality anomalies are propagating in the spatial structure, achieving an improvement from single-point anomaly monitoring to group trend monitoring. The network performance sampling frequency is dynamically adjusted according to the diffusion intensity, improving sampling accuracy during anomaly propagation and reducing sampling load in stable conditions. This reduces system resource consumption while ensuring monitoring accuracy. By integrating individual network performance, spatial adjacency relationships, time window fluctuation statistics, and diffusion trend judgment, real-time dynamic perception and adaptive monitoring and control of user experience quality are achieved, resulting in significant improvements in anomaly identification accuracy, group diffusion perception capability, and system resource utilization efficiency.

Based on the analysis of the Weibo data of Internet users, the present invention proposes an Internet user knowledge and interest profiling system based on an improved LDA model. On the basis of the improved LDA model analyzing the interests of users, it further profiles the knowledge distribution of users, expands from the level of user interest description, and proposes a method for user description according to the profiling methods in terms of both knowledge and interest, so as to accurately conduct personalized characterization of users; the concept of the knowledge level of Internet users is introduced, and the knowledge level is integrated into the improved LDA model. The user interest modeling mainly uses the keyword model to model the user interests, and the user knowledge modeling incorporates the knowledge level into the user knowledge profiling model, and uses a directed connected graph to model the user knowledge. It can accurately and quickly profile the features of users, and has high feasibility and accuracy.

The invention relates to the technical field of data analysis, in particular to an internet user portrait generation method based on big data, which comprises the following steps: acquiring search times and search depth of a target data type obtained by browsing a webpage by a user within a monitoring time period, and obtaining search progressive performance of the target data type, obtaining the browsing concentration degree of the target data type in combination with the interspersed search conditions of other data types in the search process of the target data type; based on the change trend of the browsing concentration degree of the target data type in the plurality of continuous monitoring time periods, obtaining the increase degree of the browsing concentration degree; according to the increase degree of the browsing concentration degree, in combination with the browsing concentration degree of the target data type and the recent search time interval of the target data type, the portrait importance degree of each target data type of the user is correctly mined, and when the user is portrayed according to the portrait importance degree of each target data type, the user experience is improved. The accuracy of the user portrait can be improved.

A method and system for authenticating an Internet user identity by cross-referencing and comparing at least two independent sources of information. A first geographical location of computer signature of an internet user is identified and the geographical location of a communication voice device of said internet user is identified to determine a second location. The first and second locations are compared for geographical proximity to confirm the identity of the internet user. Based upon geographical proximity of said locations, a score is assigned to the internet user, and access to a website is allowed or limited based upon said score. Alternatively, additional authentication information can be required or access can be terminated.

A method for authenticating the identity of a user who is attempting to access a website or conduct a transaction is described. The method involves receiving two geographical locations, and associated time stamps, of a mobile phone associated with the user, one of the locations being the location of the transaction or access attempt. The method determines whether the speed required to travel between the two geographical locations in the elapsed time is within acceptable limits. A confidence score, derived in part from this calculation, is taken into account when deciding whether to allow or deny the access or the transaction.

The invention discloses a cross-network mobile office security method, which comprises the following steps that: an internet mobile office terminal performs identity authentication on an internet user, performs terminal identity authentication, performs security detection and reinforcement on a mobile terminal, and starts local security control measures of the internet terminal for mobile office. An encryption network transmission channel based on the national commercial password technology is established, and a mobile office sentinel system deployed on the Internet side is accessed. The method has the significance and value that the content of the remote mobile application is richer and can cover all service applications and data allowed by the Internet and the non-secret-related private network; the remote mobile application is safer; loose coupling is easy to integrate. According to the invention, technologies of zero trust, password, cloud computing, artificial intelligence and the like are comprehensively utilized, existing security construction achievements of the Internet and a non-secret-involved private network are reused, and the method focuses on a security channel and a WEB remote office platform of mobile office.

Watermarking media content, in combination with blockchain and distributed storage networks, prevents the proliferation of Deepfake content. Digital watermarks are embedded in the audio and video tracks of video clips of trusted content producers at the time the videos are captured or before they are distributed. The watermarks are detected at the social media network's portals, nodes, and back ends. The embedded watermark imparts a unique identifier to the video, that links it to a blockchain. The watermarks also allow video source tracking, integrity verification, and alteration localization. The watermark detectors can be standalone software applications, or they can be integrated with other applications. They are used to perform three main tasks: (1) they alert the Internet user when he watches an inauthentic news video, so that he may discard it, (2) they prevent a Deepfake content from propagating through the network (3) they perform forensic analysis to help track and remove Deepfake content postings.