90 results about "Netizen" patented technology

The present disclosure discloses a system and a method for evaluating the risk associated with network assets. More particularly, the present disclosure provides the system and method for evaluating risk associated with network assets based on risk scoring. The disclosed methodology calculates a singular risk score for each network asset. Further, the singular risk score for each network asset is displayed on a web user interface (UI) page to facilitate the user to quickly and efficiently monitor the security status of the network assets without a need for extensive training or technical expertise.

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.

This invention discloses a network management method, device, electronic device, and storage medium, relating to the field of data processing technology. It includes training an initial classification model using a sample traffic feature dataset and corresponding classification targets. The model can fuse traffic features according to the classification targets and iterate model parameters using the model classification results and the actual classification results corresponding to the training data to obtain an actual classification model. This model then outputs the traffic classification result for any server network, enabling network resource allocation. This invention solves the technical problems in related technologies, such as the use of dynamic ports breaking the fixed mapping relationship between port numbers and applications, encryption techniques hiding payload content making it difficult to directly extract traffic features, affecting classification accuracy, and thus impacting network management effectiveness. It improves traffic classification accuracy in complex network environments, facilitating effective network management and ultimately enhancing the network user experience.

A device and method for employing a machine learning model using processor circuitry to intelligently predict user permissions within a network environment and output a restriction recommendation for modifying user permissions.

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.

The application discloses a kind of method and device for determining network experience satisfaction, to solve the problem of inaccurate network experience satisfaction evaluation result.The scheme provided in the present application includes: obtaining the network experience satisfaction score and network use information of multiple network users;According to the network use information of multiple network users, clustering analysis is performed on multiple network users to obtain multiple groups of network users based on network service type classification, and the network service type represents the network function use preference of network users;Determine the network score weight of multiple network users according to the network service type to which multiple network users belong;According to the network score weight and network experience satisfaction score of multiple network users, determine the network experience satisfaction evaluation result.The scheme of the embodiment of the present application generates the network experience satisfaction evaluation result according to the use of network service by network users, effectively improves the accuracy of the generated evaluation result.

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.

In one embodiment, a method for detecting restricted cross-origin requests by a webpage is provided. The method includes: receiving, by a processor, webpage data associated with the webpage; determining, by the processor, a presence of cross-origin uniform resource locator (URL) data from the webpage data; in response to cross-origin URL data being present, generating, by the processor, an independent request for a resource directly to a server associated with the cross-origin URL; determining, by the processor, whether the resource was restricted by the server; and selectively generating, by the processor, mitigation data to mitigate presentation of the restricted resource associated with the cross-origin URL data.

In an example embodiment, machine learning is utilized to make recommendations for next actions by users of an online network. These next actions are called “next best actions.” The machine learning may be performed to train a multitask deep machine learning model to make recommendations based on a series of inputs, including, for example, contextual information that relies upon action sequences of the user and historical users, and user intent. The use of a multitask deep machine learning model allows for the model to generate action recommendations that are personalized, contextual, and coordinate across various different aspects of the online network, rather than being limited to only a single aspect. Likewise, the multi-task deep machine learning model can also be tailored to optimized different use-case specific objectives while at the same time being easy to scale and maintain.

A method and a device for controlling power Internet of Things flow, and a computer program product are provided. The method includes: determining a probability formula for reduction of network user flow, according to probability formulas of signal power over limit, poor quality of service, channel congestion and signal transmission delay occurring in each channel; determining a probability formula for cascading flow reduction of N network users; establishing a network user flow minimum control quantity function according to the probability formula for cascading flow reduction of N network users; determining a plurality of population particles according to a value range corresponding to the parameter of the network user flow minimum control quantity function; and determining the network user flow minimum control function as a fitness function, and optimizing population particles to obtain an optimal population particle. Power Internet of Things flow control is performed according to the optimal population particle.

Systems and methods for connecting people via a social networking system are provided. The systems and methods relate to meeting and connecting with people in real time both on-line and in-person. The users of the network are physically present in an establishment, where they can meet-up if the people mutually agree to do so. One embodiment involves creating a location-based connection between the users using geofences. Other methods use Quick Response (QR) codes and Near-Field Communication (NFC) tags to unlock the network and facilitate the meetings. The network can be used at various establishments including, for example, restaurants, bars, nightclubs, stores, hotels, casinos, sporting events, schools, libraries, coffee shops, and the like.

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 provides a social network public opinion fast sensing and efficient tracing method and device. The method comprises the following steps: step one: obtaining a social network topology structure G, G=(V, E), wherein V represents a social network user node set, and E represents a social network user relationship set; step two: determining an optimal target observation user node set S according to the network topology structure G; and step three: determining whether an opinion event occurs and an initial propagation user node causing the opinion event according to information obtained by the target observation user node set S. Through the method provided by the application, the fast sensing and efficient tracing of opinion information can be realized under a small observation node set S.

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.

The invention discloses a power grid safety emergency early warning method and system based on multi-source data fusion, and relates to the technical field of power grid public opinion monitoring. Netizen inclusion degrees and public opinion influence levels of all power construction areas are set, and all public opinion propagation nodes of all the power construction areas are screened out; then, the propagation influence condition of each public opinion propagation node is monitored and evaluated, the public opinion monitoring result of each power construction area is obtained, and then a corresponding public opinion safety emergency early warning scheme is executed, so that key nodes can be accurately locked, resource waste of generalization monitoring is avoided, the monitoring efficiency is improved, and the public opinion safety emergency early warning effect is improved through the public opinion guiding effect. The emotion change track of the netizens generating interactive behaviors is tracked in public opinion propagation, so that the actual condition of public opinion guidance is judged, potential public opinion risks can be effectively recognized, a highly-targeted and efficient coping strategy is made when public opinions occur, and the corporate image is effectively maintained.

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.

Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

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

Embodiments include methods for an identification server configured to provide concealed identifiers for user subscriptions to a communication network. Such methods include receiving, from a first network function (NF) of the communication network, a message including a first concealed identifier of a user subscription to the communication network. Such methods include, based on determining that the first concealed identifier needs to be updated, determining a second concealed identifier of the user subscription, including performing an encryption a non-concealed identifier of the user subscription, using a public part of an asymmetric key pair. Such methods include determining a secured second concealed identifier of the user subscription, based on the second concealed identifier and a symmetric key that is known to a user equipment (UE) associated with the user subscription. Such methods include sending the secured second concealed identifier to the first NF.

The embodiment of the application provides a network device background access control method, program product, device and medium, and relates to the technical field of network security. The network device background access control method is applied to a target network device, and the target network device is provided with a Web UI interface; the method comprises the following steps: obtaining a background access control instruction input by a first user through the Web UI interface; wherein the background access control instruction is obtained according to a background operation command selected by a second user; performing security check on the background access control instruction, and executing the background operation command to obtain a command execution result in the case that the background access control instruction passes the security check. The embodiment of the application can effectively guarantee the technical effect of network device background access security.

The application discloses a kind of home broadband network element authentication capability abnormal early warning method and device, to solve the problem that it is difficult to effectively early warning is realized to home broadband network network element authentication capability abnormality.This scheme includes: obtaining the on-line and off-line message of home broadband network in monitoring period;Determine the home broadband link network element associated with on-line and off-line message;According to the timestamp carried in on-line and off-line message and home broadband link network element, determine the change value of the number of online users of home broadband network in monitoring period in target home broadband link network element in home broadband link network element;If the change value of the number of online users of target home broadband link network element in home broadband network is greater than alarm change value, then target home broadband link network element is executed authentication capability abnormality alarm.This scheme determines the change value of the number of online users of home broadband network element based on on-line and off-line message, thereby effectively realizing the alarm of network element authentication abnormality based on the change of the number of online users, and it is beneficial to improve the efficiency of repairing home broadband network function.

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.

The present disclosure provides a prototype network-based iterative clustering federated learning method, which comprises: a user end receiving a global prototype network sent by a server end; the user end training the global prototype network according to a local sample data set and determining a user embedding representation vector and a user category distribution, wherein each user has one user embedding representation vector; the user end sending the trained global prototype network, the user embedding representation vector and the user category distribution to the server end, so that the server end performs the following operations: determining a model distance based on the trained global prototype network according to the user embedding representation vector and the user category distribution; determining a user clustering result according to the model distance, and then performing global model parameter aggregation to obtain the latest global model parameters; and performing the above steps for T rounds of circulation until the global prototype network trained by the prototype network-based iterative clustering federated learning method meets a preset convergence condition.

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.