58 results about "Netizen" patented technology

System and method for anti-phishing emails based on link domain name and user feedback The invention provides a system and a method for anti-phishing emails based on link domain name and user feedback. The system comprises an email receiving device, an email pre-processing device, an email property judging device, an outputting device and a feedback processing device. The method comprises the following steps: analyzing characteristics of the link domain name in the email, combining with a controlled network user feedback strategy, and identifying phishing emails and doubtful phishing emails. The Invention has advantages of high identification efficiency, low resource consumption and no error rate. The Invention can be configured to email servers, gateway servers and the like that require high real-time performance, protect the controlled network user against cheating by the phishing emails, resist the interference from the spiteful user in the controlled network, and can be widely applied to the application fields of network email filtering management, anti-phishing attack and the like.

A machine learning-based proxy model may generate measurements of quality of user experience in a vehicle-based communication network in the absence of direct feedback from the users regarding the user experience. Once generated, the proxy model may be applied to observed operational parameters of the on-board network to quantify the user experience for any user in any given instance. User experience measurements (e.g., trends identified therein) may be utilized to identify and implement adjustments to hardware, firmware, software, and / or service procedures associated with implementation of the on-board network. These adjustments may be implemented between transits of the vehicle, or in some cases, during transit of the vehicle to improve the user experience over the duration of use of the vehicle-based communication network.

The invention relates to a method for providing a data analysis facility (DAF) with data relating to at least one user equipment, the method comprising: - a step of collecting, for a plurality of events in the network affecting at least one state of the user equipment, data relating to said at least one affected state; and - a step of providing the analysis facility (DAF) with, for at least one such state of the user equipment, at least one statistical datum obtained for the state by aggregating the data relating to the state collected during the collecting step, and a portion of said data corresponding to an integer X greater than or equal to 1 events among the most recent events of said plurality of events.

Aspects of the subject disclosure may include, for example, a device, including: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of: training a role-based agent to handle queries from users of a network; training a role-based foundation model to retrieve data relevant to a role of a user; receiving a query from the user; and providing the query to the role-based agent, wherein the role-based agent uses an associated role-based foundation model to process the query, collect relevant data from the network, and formulate an answer to the query. Other embodiments are disclosed.

A system and method for training a security model in a testing system using machine learning is disclosed. For example, the method includes accessing information about security attacks from at least one security attack information source, recognizing types of security attacks being attempted using natural language processing to process the information about security attacks, attempting at least one of the recognized types of security attacks on a network, identifying at least one security vulnerability based on results of the attempting, training the security model based on the identified at least one security vulnerability using machine learning, providing the trained security model to a user of the network, and blocking a security attack using the trained security model.

The application discloses a power grid safety emergency early warning method and system based on multi-source data fusion, relates to the technical field of power grid public opinion monitoring, and sets the public opinion influence grade and the public opinion tolerance of each power construction area, screens each public opinion transmission node of each power construction area, then monitors and evaluates the transmission influence of each public opinion transmission node, obtains the public opinion monitoring result of each power construction area, and finally executes a corresponding public opinion safety emergency early warning scheme, so that the key node can be accurately locked, resource waste caused by generalized monitoring can be avoided, the monitoring efficiency is improved, the emotional change track of the netizen who generates an interactive behavior in public opinion transmission is tracked according to the public opinion guiding effect, so that the actual situation of public opinion guidance can be judged, potential public opinion risks can be effectively identified, a targeted and efficient response strategy can be made when public opinion occurs, and the enterprise image can be effectively maintained.

The application discloses a method for verifying a Fabric complex endorsement strategy in cross-chain, wherein the Fabric blockchain first registers an MSP list, a chain code ID and an endorsement strategy description into a cross-chain network, transmits a generated cross-chain transaction to a relay chain, then the relay chain analyzes a transaction execution result and a set of endorsement node signatures, generates an endorsement strategy interpreter, and confirms that the transaction execution result is consistent with the chain code ID registered in the cross-chain network, and if not, the verification fails, and finally the endorsement strategy interpreter verifies the set of signatures. The application can verify a complex endorsement strategy customized by a user, is friendly to a user of the Fabric network, does not need to write a verification strategy by itself, and only needs to submit an endorsement strategy description, and can prevent a user from performing malicious attacks through different chain codes.

The application discloses a network security risk assessment method and system based on permission acquisition probability reasoning, and belongs to the technical field of communication network security. Firstly, the application accurately describes input network topology information, hardware and software deployment information, vulnerability information and other basic information in a formalized manner; then, network user permission information and permission dependency information are extracted, and a user permission conversion graph is constructed in combination with user permission importance and vulnerability exploitation difficulty; next, the existing user permissions are continuously utilized to reason about the permissions that the user can obtain next; finally, the probabilities of the attacker obtaining various user permissions are calculated, and network risks are quantitatively evaluated. According to the network basic information, the application can reasonably evaluate the current network security risks, and the network security indexes can effectively reflect the changes of the network security protection state.

The application belongs to the field of network security management, relates to data analysis technology, and is used for solving the problem that the prior art cannot linearly track from the perspective of an operation user and overall risk assessment of short-term behavior of the same network user, and particularly relates to a network adaptive management system based on dynamic network security, which comprises a behavior monitoring module, a security analysis module and a risk analysis module connected in sequence in communication, and the behavior monitoring module, the security analysis module and the risk analysis module are all connected in communication with a database; the application can finely and weightedly quantitatively evaluate the security of each combination element; the evaluation method fully considers the differentiated influence of different security attributes such as permission, privacy and network fluctuation on the security of network behavior, so that the finally calculated security coefficient of the combination element is more representative and accurate.

This invention provides a data sharing system and method based on a lightweight distributed ledger and decentralized identity. The system includes a DID ledger network, a user client, and a server. The DID ledger network is configured to maintain a distributed ledger with an associated multi-chain structure. The user client is configured to locally generate and securely store the user's public-private key pair and initiate DID registration or public key update requests. The server is configured to receive authentication requests or data sharing requests from user clients, obtain the corresponding public key by querying the DID ledger network, and verify the signature. A data sharing method implemented by the aforementioned data sharing system based on a lightweight distributed ledger and decentralized identity is also provided. Therefore, this invention, based on DID and a lightweight ledger, can significantly reduce the complexity of data sharing, enable users to autonomously control their data, and build an efficient, reliable, and scalable data exchange ecosystem with low-energy, edge-deployable infrastructure.

The application discloses a network user public opinion portrait construction method in an anonymous environment, comprising: real anonymous user feature acquisition, real anonymous user equivalence class construction, and new user portrait identification. The application reduces the user portrait space by establishing an equivalence relationship and constructing an equivalence class, solves the problems of low portrait search efficiency and large redundant anonymous user portraits occupying the portrait library in the anonymous environment, and thus realizes quick matching of the new user portrait with a small space cost, and can efficiently construct a credibility label for the real anonymous user comment and provide assistance for public opinion management.

To provide a computer-implemented method and program for protecting and curing patients along with controlling infection transmission in epidemic situations.SOLUTION: In the method, a virtual network function (VNF) layer which has assigned logical channels to respective ones of the UE devices for wireless transmission of the user data obtains medical health user data from respective ones of multiple UE devices. The VNF layer maintains user-to-logical channel association data associating user-identifying data to logical channels assigned to users identified thereby. Additionally in the method, a service orchestration layer that runs on top of the VNF layer and is restricted in access to the user-identifying data of the user-to-logical channel association data examines the medical health user data, and processes the data according to the examination.SELECTED DRAWING: Figure 5

The application provides a data processing method for network users to share immersive experience, so that network users can share immersive experience by transmitting immersive reality content data. The application also provides a sending device for immersive reality content data, a receiving device for immersive reality content data, a system for network users to share immersive experience, and a computer readable storage medium.

This allows network users to easily connect to different networks, such as the internet or a VPN. [Solution] In a distribution device 10 located within a network, the destination network 14a of the storage unit 14 stores either the Internet or a VPN destination network corresponding to the source address of a network user. The acquisition unit 15a acquires communication packets sent by network users. The distribution unit 15b distributes the acquired communication packets to the destination networks stored in the destination network 14a of the storage unit 14, corresponding to the source address of the communication packets.

The invention provides a multi-dimensional and multi-modal network user portrait analysis method and system, and the method comprises the steps: collecting initial data from each platform by taking an account as a unit, and the initial data comprise text data, image data, video data and audio data; extracting feature data of each account from the initial data of the account, and constructing a feature vector based on the feature data; determining the similarity between the accounts based on the feature vectors of the accounts, and constructing the initial data of the accounts of the same user into a data combination based on the similarity of the accounts; according to the scheme, the initial data on different platforms are collected with the account as the unit, discrete data on all the platforms can be collected based on some features of the user, the accounts of the same user on different platforms are recognized, and the user experience is improved. And the user portrait can more truly reflect the overall characteristics and behaviors of the user.

The home network operated by a subscribed service provider receives a request from a visited network having a network sharing relationship with the home network for access to the visited network by user equipment (UE) of a subscriber to the home network, where the request identifies device-specific credentials (e.g., username and password) for the UE that are different from the subscriber's credentials; determines whether the device-specific credentials correspond to an active device and an active subscriber; and, upon determining that the device-specific credentials correspond to an active device and an active subscriber, transmits an access-acceptance response to the visited network. Using device-specific credentials allows access at the visited network to be limited, e.g., to only Internet access, thereby preventing unauthorized third parties from gaining access to other services, such as video streaming and gaming, available to subscribers from their home network.

1. Name of the designed product: computer server. 2. Use of the designed product: the designed product is used to provide centralized computing, information publishing and data management services for network users. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

Systems and methods are disclosed comprising techniques for modular synthetic modeling, such as receiving a user request from a virtual world environment for transmitting data using synthetic network services of a digital twin network, determining a network user identifier of a subscribing user of a telecommunications network that is associated with a virtual user identifier of the user request, accessing a service modality configuration of the digital twin network that maps a data payload of the user request to a set of available synthetic network services, selecting a synthetic network service of the digital twin network for transmitting the data payload, transmitting the data payload of the user request via the selected synthetic network service of the digital twin network, and applying a corrective adjustment to a runtime configuration of the synthetic network service in response to at least one monitored KPI exceeding a tolerance threshold.

The invention discloses a Websocket communication management method, platform and system based on RADIUS authentication, and relates to the field of network authentication. The Websocket communication management method comprises the following steps: in response to a Websocket communication request initiated by a network user at a front end, performing USB Key authentication on the front end by a server, and keeping handshake connection with the front end after the authentication is passed; the server side randomly generates an account number and a password and stores the account number and the password into the RADIUS server; the server side sends the account number and the password to asset equipment in an SSH mode; the asset equipment initiates authentication to the RADIUS server through the account number and the password; and if the authentication succeeds, keeping handshake connection with the server. According to the WebSocket communication management system and method, by means of the combination of USB Key authentication, SSH and RADIUS protocols, flexible and safe WebSocket communication management can be achieved, and the risk of certificate leakage is completely eradicated.

The invention belongs to the technical field of network user behavior analysis, and particularly relates to a user behavior analysis system and method for optimizing a click event processing mode. The system comprises a front-end data automatic acquisition module, a thermodynamic diagram display module, a visual selection and classification module, a data classification and dynamic association module, a label management module and an event analysis module. The method comprises the steps of automatically collecting all click event data of a user and generating an operation thermodynamic diagram; business personnel visually select page areas through a thermodynamic diagram interface and mark functional labels; and according to the coordinate range and DOM features of the selected area, historical and subsequent click events are automatically matched and classified. According to the method, manual point burying by front-end developers is not needed, the problems of fuzzy element recognition and inaccurate event classification in a full point burying technology are solved, high-precision and traceable user behavior analysis is realized, and the business response and analysis efficiency is improved.

This invention provides a blockchain-based digital copyright storage method and apparatus. The method includes constructing a digital copyright consortium blockchain and creating unspent digital copyright assets owned by users using an unspent transaction output model. The consortium blockchain calculates the similarity of target data provided by users, generates corresponding digital copyrights, sends them to users for signature, sends the signed digital copyrights to full nodes to create outputs, places them in coinbase transactions, packages the transactions into blocks, and sends them to the consortium blockchain network. Users view target copyrights and create transactions, and full nodes verify the legality of transactions and send them to the blockchain network to reach consensus. Compared with related technologies, the blockchain-based digital copyright storage method and apparatus provided by this invention improves the processing efficiency of copyright transactions and increases the effective proportion of copyright data stored in the blockchain.

The invention discloses a social psychological assessment method, device and equipment based on TOPSIS-XGBOOST and a storage medium, and relates to the technical field of psychological measurement and assessment, the method comprises the following steps: collecting and preprocessing first text data related to social psychology to form a target data set; social psychological health evaluation features and influence factor features are extracted from the target data set; constructing a TOPSIS model based on the evaluation features, and calculating a psychological health comprehensive score of each social event; performing feature selection by taking the comprehensive scores as dependent variables and influence factor features as independent variables, and screening out key features; constructing an XGBOOST model by using the key features and the comprehensive scores, and integrating the XGBOOST model with a TOPSIS model to obtain a TOPSIS-XGBOOST model; and for the second text data of the target social event, performing evaluation by using a TOPSIS-XGBOOST model, and outputting a target social psychological health comprehensive score. The method can scientifically quantify the degree of influence of emergencies on social psychological health of netizens.

The invention provides a multi-modal and multi-dimensional network user portraying method and device and electronic equipment, and the method comprises the steps: collecting all pieces of multi-modal posting data, user information and posting behavior characteristics, and carrying out the clustering of the posting data belonging to the same network user; obtaining cognitive characteristics of each network user based on a user cognitive characteristic extraction model, and extracting demographic characteristics; and constructing multi-dimensional user portrait frame data of the network users according to the demographic characteristics, the posting behavior characteristics and the cognitive characteristics, so as to obtain network user portrait data of the network users based on the multi-dimensional user portrait frame data. According to the method and the device, the effectiveness, the accuracy and the comprehensiveness of obtaining the multi-dimensional features of the network users can be effectively improved based on cross-platform and multi-modal data, so that the accuracy and the comprehensiveness of the generated network user portraits can be effectively improved.

The application discloses a fraud risk level division and graded early warning method based on user portrait, relates to the technical field of anti-fraud, and comprises the following steps: obtaining at least one communication network user accessing a communication network; analyzing and summarizing at least one fraud mode of the communication network user to obtain fraud identification features, obtaining at least one fraud elimination scheme corresponding to the fraud mode; obtaining basic information; obtaining an effective part; analyzing to obtain a mastering coefficient of the communication network user to the fraud elimination scheme, comprehensively analyzing to obtain a fraud coefficient of the to-be-detected communication data to the communication network user; and grading and early warning the to-be-detected communication data. The fraud risk can be analyzed from the two aspects of the user and fraud by obtaining the fraud identification features, forming the fraud elimination scheme, obtaining at least one effective part, forming the mastering coefficient and forming the fraud coefficient, so that the fraud risk of each user can be identified.

The invention discloses an Internet of Things joint routing link establishment method and system based on path attention collaboration. The method specifically comprises the steps that a current node collects a sensing data sequence and a historical action sequence; respectively inputting the sensing data sequence and the historical action sequence into an encoder and a decoder of a Transform model for encoding and decoding; according to the coding result of the sensing data and the mask attention calculation result of the historical action sequence, calculating a target Q value, and completing current node selection and resource management decision; the sensing data sequence and the historical action sequence are transferred to the selected node, and node selection and resource management of the next hop are carried out; and circularly executing the steps until the target node is successfully connected. The system is used for realizing the Internet of Things joint routing link establishment method. According to the invention, through combination of routing and resource management, distribution of network resources is optimized, efficient utilization of the network resources is ensured, and high-quality and high-reliability communication services are provided for network users.

The invention relates to a network user virtual-real mapping relation modeling method based on social data mining, and belongs to the technical field of computers, the method comprises the following steps: obtaining user archive data and user generation data of network users of a social platform; wherein the user generated data comprises blog articles published by the user and publishing time of the blog articles; constructing a user similarity vector between every two network users according to the user archive data and the user generation data; determining a user similarity condition according to the user similarity vector, and determining similar users as the same real user according to the user similarity condition; and obtaining terminal equipment logged in by the virtual user corresponding to the real user, and determining the identity of the real user according to the terminal equipment. According to the invention, virtual-real relation mapping of network users is realized.

The invention discloses a network user determination method and device, a processor and electronic equipment. The method comprises the following steps: traffic information of a plurality of network users in a current network environment is respectively obtained, and various traffic information is obtained, and the traffic information is used for representing uplink traffic and downlink traffic of the network users in a preset period; determining a plurality of candidate network users from the plurality of network users based on the plurality of traffic information; operation behavior information of the multiple candidate network users in a preset period is determined, multiple kinds of operation behavior information are obtained, and the operation behavior information is used for representing connection operation execution behaviors of the candidate network users under different dimensions; and determining a target network user from the plurality of candidate network users based on the multiple operation behavior information. According to the invention, the technical problem of low precision of identifying the target network user is solved.

The invention provides a public opinion propagation simulation method based on a large language model, and the method comprises the steps: generating a simulation role, and constructing the role portrait information of each agent; interactive behavior prediction: predicting the next interactive behavior of the intelligent agent; behavior object prediction: predicting a target object of the interactive behavior; propagation content generation: driving an intelligent agent to generate text content conforming to role portrait information; and public opinion propagation simulation: constructing a public opinion simulation standard business workflow (PSOP) and a public opinion global information sharing pool (GISP), and driving all agents to execute interaction actions according to the PSOP. Based on the combination of a multi-agent architecture and a large language model and the design of the PSOP and the GISP, different types of netizens can be generated, different social behaviors can be simulated, the method can be generalized to public opinion event propagation simulation in different fields, the technical bottlenecks of traditional public opinion simulation in the aspects of individual modeling, behavior prediction, an interaction mechanism, system efficiency and the like are solved, and the public opinion propagation simulation method is suitable for popularization and application. And the simulation authenticity, dynamics and expansibility are improved.

The application relates to the technical field of communication, and discloses a short message management and control method, device, equipment and storage medium, the method comprises the following steps: obtaining the calling identifier of a calling user according to a MAP short message message sent by a foreign service operator; determining the type of the calling user according to the calling identifier of the calling user and a built-in network user database; and sending the MAP short message message to a short message center or the foreign service operator according to the type of the calling user; since the calling identifier of the calling user is obtained through the MAP short message message, then the calling identifier of the calling user is compared with the calling identifier stored in the built-in network user database, and then the MAP short message message is sent to the short message center or the foreign service operator according to the type of the calling user, so that the situation that the short message is sent to other users through a non-homologous operator short message center, and the operator cannot normally collect fees, can be avoided.

The disclosure provides a mobile network user plane traffic routing configuration method, device and system, and relates to the technical field of mobile communication. The method comprises the following steps: an SMF entity receives a dynamic SFC rule of a user equipment sent by a PCF entity; the SMF entity sends an SFC modification request to an SFC controller; the SMF entity receives traffic steering information of a service function path corresponding to the dynamic SFC rule returned by the SFC controller; and the SMF entity sends the traffic steering information to a UPF entity, so that the UPF entity performs forwarding processing on a data packet corresponding to a session of the user equipment according to the traffic steering information. Through the above method, the service function routing of the user plane traffic of the session granularity can be flexibly and efficiently modified according to real-time service requirements, so that the user plane traffic can be more flexibly selected when flowing out from the network side.