200 results about "Netizen" patented technology

A synthetic cyberattack tool uses a generative AI component to assist in generating a synthetic cyberattack by a cyber threat to produce one or more cybersecurity incidents and / or events. The synthetic cyberattack tool uses the generative AI component also to provide an analysis and an explanation for a purpose of providing cyber security training to at least one of an end user of a network and a cyber security team member for the network in a mimic network. The synthetic cyberattack tool orchestrates the synthetic cyberattack and derives the synthetic cyberattack from real world cyberattacks and the wargaming cyberattack exercise from real world behaviors of the end user and / or the cyber security team member as well as the architecture and policies implemented in the real world network. A user interface component displays both results of testing in the wargaming cyberattack exercise along with an explainability on the synthetic cyberattack.

The invention discloses a social network user recommendation method and system. Relates to the field of social network systems. According to the social network user recommendation method and system, the social network user recommendation method and system for analysis and prediction based on user vectors, multiple behavior vectors and interests are provided specially for scenes of a social network platform, and according to collected behavior information data of the user vectors, a deep neural network model is adopted for analysis and learning; the method comprises the following steps: establishing a cascade relationship of various behavior vectors of user vectors by using a graph convolutional network, modeling influence values of different factor vectors on different user preference scores through a decoupling representation technology, screening potential friends through two stages of Pearson similarity calculation and a hierarchical clustering method, and recommending the friends. The method aims to accurately recognize and recommend potential social relations which a user vector may be interested in through data modeling, so that the user vector experience and the activeness of a social network platform are improved.

The invention discloses a network information security defense detection method and system, and relates to the technical field of network information security, and the system comprises a website security check module, a downloading security check module, an access security check module and a display execution module. In daily Internet surfing, net friends often encounter network security problems, for example, users may receive phishing mails disguised as banks or download malicious software in untrusted websites, resulting in data stealing. Identity embezzlement and data leakage increase privacy and financial risks, and man-in-the-middle attack may intercept sensitive information through an unencrypted Wi-Fi network. According to the method, security detection including domain name check, certificate verification, content scanning, integrity verification and the like is carried out on websites, downloading programs and external access equipment, so that security risks are found and processed in time; and meanwhile, by adopting a virtual machine isolation technology and behavior monitoring, the protection on malicious programs is enhanced, the security risk of external equipment is evaluated, and the security of a network environment and data is ensured.

Embodiments extract a key phrase from an online profile of a user of a professional social network (PSN) and identify a set of skills associated with the key phrase. A set of skill embeddings corresponding to the identified set of skills may be retrieved from a store of skill embeddings. The skill embeddings may be pre-created by a large language model (LLM). The retrieved skill embeddings may be aggregated to create a skill-centric digital representation of the user. Based on the skill-centric digital representation of the user, a subset of digital documents may be identified to present to the user via the PSN.

The invention relates to a transmission method and device based on network environment self-adaption and a storage medium, and the method comprises the steps: trying to establish direct connection with a cloud PC server if a user terminal is in an intranet and is in the same-level network with the cloud PC server; if the user terminal is in the intranet but is not in the same-level network with the cloud PC server, trying to establish connection with the cloud PC server through P2P, and if the user terminal does not successfully establish connection with the cloud PC server through the media Trans; if the user terminal is in the external network and the VPN connected with the user terminal and the cloud PC server are in the same level of network, connecting the VPN through dialing and directly connecting the IP address of the cloud PC server to realize direct connection of media streams; and if the user terminal is in an external network, but the VPN connected with the user terminal and the cloud PC server are not in the same level of network, the user terminal is connected with the VPN through dialing, the VPN tries to establish connection with the cloud PC server through P2P, and if the connection is not successful, the VPN tries to establish connection with the cloud PC server through Trans.

The invention relates to the technical field of network flow management, in particular to a network flow management method based on data analysis, and the method comprises the steps: obtaining the historical flow data of all network user sides, and the flow use data and user side information of each network user side from a server; obtaining geographic position distribution of all network user sides, and determining a traffic type of each network user side; determining the flow use user type of each network user side according to the user side information and the flow type; determining usage related characterization parameters of the network user side, and determining a traffic management area in combination with the traffic usage user type; determining a flow management mode in the next flow management period according to the flow management area; according to the invention, the traffic characteristics of the user side are analyzed, and the corresponding traffic management is carried out according to the traffic use demand, so that the rationality of the traffic management is improved, and the traffic demands of different users are ensured.

A computer-implemented method for securing an interaction between users of a computer network. A first digital identity for a first user of the users is created based on an input provided by the first user over a user interface of a first network node. The user input includes a first consent to create the first digital identity and includes a first secret information provided by the first user. The first consent and the first secret information are merged to form a first root string and whereas the first digital identity is created dependent on the first root string and stored in the network in encrypted form. The first user interacts with other users in the network using the first digital identity.

The invention provides a social network user text sentiment analysis method and device. According to the method, the structure of a social network is considered in the aspects of selection of annotation data and construction of a dynamic two-way attention network. Wherein in the aspect of data labeling, part of data is selected to be labeled based on K-shell and local clustering coefficients in a graph structure, data with higher importance and aggregation degree is selected to be trained, and the effect is better. In the aspect of prediction network design, a dynamic bidirectional attention network is designed by utilizing a social network graph structure, the structural characteristics of social media propagation graph data are utilized to a great extent, and potential relationships between user texts are captured, so that the accuracy of emotion judgment is improved. Therefore, the accuracy of emotion judgment can be improved.

The invention provides a social network user viewpoint classification method and device, computing equipment and a storage medium. The method comprises the following steps: firstly, acquiring social network data including structured data and unstructured data; the unstructured data comprises a user personal description text, a user interaction text and a user interaction relationship; a social network edge text graph structure is constructed according to the obtained social network data, the structured data and the user personal description text serve as node attributes, and the user interaction text serves as edge connection attributes; reasoning a text topic of the whole network by utilizing a large language model according to text attributes on the connecting edges; combining the text topic, the text attribute of the node and the text attribute of the associated edge, and obtaining a node semantic vector by utilizing a large language model; extracting a node feature vector based on feature engineering, and splicing the node feature vector with the node semantic vector to obtain a node representation vector; and the node representation vectors are input into the graph attention network, user viewpoint classification is carried out, and the viewpoint classification accuracy is improved.

A video streaming user platform identification process for processing data packets of ISP level network traffic to automatically identify in real-time user platforms and content providers of video streams of the network traffic, the process being for execution at the ISP level by at least one processor of a video streaming user platform identification apparatus of a network service provider, the process including the steps of: receiving data packets of general network traffic of a plurality of network users of the network service provider; processing the received data packets to detect TCP / QUIC and TLS handshake packets of video streams of corresponding ones of the network users; processing the detected TCP / QUIC and TLS handshake packets of video streams to generate, for each of the video streams, a corresponding plurality of values of respective predetermined attributes; for each of the video streams, processing the corresponding attributes values with a trained classifier to classify the video stream into a corresponding one of a plurality of predetermined classes, each of the predetermined classes representing a corresponding combination of a corresponding content provider of the video stream, and a corresponding user platform being used by a corresponding one of the network users to stream the video stream from the corresponding content provider; and generating statistical data representing a statistical distribution of the classes of video streams being streamed via the network service provider; wherein the user platform includes at least one of: (i) the user's operating system; and (ii) the user's software application being used to stream the video stream.

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.

The invention provides a token-based influence user selection method under a dynamic social network, which comprises the following steps of: 1, acquiring information of users in the social network and relationship information among the users, generating the intimacy degree among the users into a weight of an edge in the network, and constructing a whole social network model; 2, each user in the social network can generate a certain number of tokens according to own original influence; 3, distributing tokens to neighbor users according to a network node relation and a self-influence rule after each round of continuous generation through an iteration mechanism; 4, the number of tokens absorbed by the social network users represents the influence of the users; 5, selecting a proper z seed set through final convergence judgment; and 6, verifying the effect of the result seed set through an IC diffusion model. According to the method, the token is used as a medium, the problem of influence maximization of the social network is solved from a distributed perspective, a user selection model is provided, and the method is suitable for large-scale and dynamically changing network scenes and is low in cost.

A method for providing data relating to at least one user device to a data analysis entity. The method includes: collecting, for a plurality of events having impacted on at least one state of the user device in the network, data relating to the at least one impacted state; and supplying, to the data analysis entity, for at least one such state of the user device, at least one statistic obtained for this state by aggregating data relating to this state collected during the collecting step and a part of the data corresponding to an integer X greater than or equal to 1 of events among the most recent events of the plurality of events.

Network subscriber devices simulate peer devices via virtual models displayed within a real-time capture of a physical environment, as an extended reality (XR) experience for users. Immersion of the XR experience is enhanced based on layering the virtual model of a simulated device in relation to digits of a user included within the real-time capture, thus appearing like the user is holding the simulated device. The digits of the user that are layered above the virtual model can be tracked such that the user can move these digits to make virtual inputs to the simulated device that can cause virtual display content shown with the virtual model to change. Device specification information is also shown within the XR experience. Via the XR experience, network subscribers can be better informed on devices available for use on a telecommunication network and can immediately acquire devices being simulated within the XR experience.

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.

The invention discloses a network user specific group identification method based on multi-relational graph characteristics. The method comprises the following steps: acquiring cluster behavior data of a plurality of network groups through a web crawler; constructing a labeling manual in a specific field, wherein the labeling manual comprises a large-scale data set of abnormal user and real user behavior data; determining abnormal user group behavior characteristics according to the suspicious abnormal group samples and existing normal user samples; researching a neighborhood node similarity measurement method, and constructing a user association graph based on a co-occurrence relationship; and establishing an abnormal group identification network from two aspects of content and behavior based on a relational graph convolutional neural network. The problem that an existing abnormal user identification method mainly depends on text features or simple social relations and is difficult to effectively utilize behavior association features of groups is solved, and the method can better aim at high-concealment specific groups.

The invention relates to a method for automatically generating and publishing all-media content, which belongs to the field of electric digital data processing, and comprises the following steps of: intelligently predicting the playing or opening type of a main image / audio / animation / webpage of a target residential user in a current time segment by adopting a content type prediction model; and automatically generating all-media content corresponding to the current time segment for the target residential user at a far-end all-media content server based on the intelligent prediction result. The invention further relates to an all-media content automatic generating and publishing system. According to the invention, the technical problem in the prior art that all-media content meeting watching requirements of users at different time periods cannot be automatically generated for each intelligent home network user is solved; the content type prediction model can be adopted to intelligently predict the playing or opening type of the main image / audio / animation / webpage of each intelligent home network user in the current time segment, and then the matched all-media content is generated, so that the technical problem is solved.

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 discloses a distributed network user access frequency control method and device, and relates to the technical field of network security. The method comprises the following steps: receiving threat information reported by each proxy server node in a network; issuing the forbidden user list to all proxy server nodes, and generating a hash table which takes the user ID as a keyword and the user traffic sampling information as a value; traversing the hash table, and judging whether the user should be maintained in the observation user list, added to the observation user list, moved out of the observation user list or forbidden; and issuing the newest observation user list and the newest forbidden user list to all proxy server nodes. According to the method, on the premise of low memory occupation and high real-time performance, multi-dimensional and deep analysis can be carried out on the access traffic, a more friendly and more flexible deployment mode is provided, and the availability of the system is improved.

The utility model discloses a website construction information collection device which comprises a box body, the upper surface of the box body is fixedly communicated with a mounting cylinder, and the inner wall of the mounting cylinder is fixedly connected with an exhaust fan. According to the device, the IP address acquisition module is arranged to acquire the IP address of a network user in the process of logging in a website, the IP address classification module is utilized to classify the network users capable of identifying the IP address and the network users incapable of identifying the IP address, the region classification acquisition unit is utilized to perform region classification on the identified IP address, and the first storage unit is matched for storage. The unknown IP recording unit can record IP addresses which cannot be identified, and the second storage unit is matched to store and record information, so that the problems that the IP address information of the network users is classified and stored due to different positions of the network users, so that the information collection of the users is relatively disordered, and the user experience is poor are solved. And the IP address of the network user is difficult to query.

The present invention relates to the technical field of network data analysis, and in particular to a security warning method and system based on network user behavior. When a security alarm periodic update request is obtained, the warning user and warning rule corresponding to the security alarm periodic update request are collected; the warning conditions in the warning rule are collected, the warning condition outputs the warning behavior path and the path node warning rule corresponding to the warning behavior path, and the safety identification result of the behavior path node of the warning user is constructed based on the path node warning rule; the safety identification result of the behavior path node is updated to the warning rule, the user safety alarm corresponding to the warning user is output, and the reporting request of the user safety alarm is transmitted to the server, so that the server reports the user safety alarm. The present invention can effectively capture various behaviors of network users at regular intervals, give safety warning results of various behavior users, and guide users to operate safely in the network.

The invention belongs to an event analysis method, and provides a public opinion event propagation analysis method, a public opinion event propagation analysis system and a computer program product in order to solve the technical problem that a mathematical model is not fully used for exploring causes and a propagation mechanism in a network space in current research about moods of netizens. In different stages of the public opinion event, different models are adopted to analyze the propagation condition of the public opinion event, the progress of the public opinion event is divided according to whether bifurcation occurs, the network public opinion event is described in a mode of combining a chaos dynamics model and an infectious disease model, and the public opinion propagation process is analyzed in each stage. Therefore, reasons and essential reasons for changing network public opinion events into network violence events can be known fundamentally, and a strategy for controlling the trend of public opinions can be formulated based on the reasons. According to the method, the comprehensive model is improved, the public opinion process in which the network storm possibly occurs can be completely described, and in practical application, disposal suggestions can be given in combination with data analysis.

The invention relates to the technical field of computers, in particular to a method for clicking a hyperlink in a webpage to jump to a specified position of another related webpage, which comprises the following steps of: S1, linking the hyperlink in the webpage to the other related webpage, jumping to the topmost end of the other related webpage, and clicking the hyperlink in the webpage to the specified position of the other related webpage; all webpage contents of another related webpage can be browsed through a webpage pull-down method; and S2, generating relevance between the hyperlink in the webpage and a specified position of another related webpage. According to the method and the device, only the hyperlink in the webpage needs to be clicked, the appointed position of another related webpage can be jumped to, so that an internet enterprise can conveniently carry out refined classification on the text content at the Web front end, and consumers and netizens can conveniently, quickly and timely find the webpage content needed by the consumers and the netizens and the content of the internet of things and big data.

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 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.

Embodiments extract a key phrase from an online profile of a user of a professional social network (PSN) and identify a set of skills associated with the key phrase. A set of skill embeddings corresponding to the identified set of skills may be retrieved from a store of skill embeddings. The skill embeddings may be pre-created by a large language model (LLM). The retrieved skill embeddings may be aggregated to create a skill-centric digital representation of the user. Based on the skill-centric digital representation of the user, a subset of digital documents may be identified to present to the user via the PSN.

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.

One or more computing devices, systems, and / or methods for providing an artificial intelligence based communication system for network issue resolution are provided. Featured related to operation of a communication network are input into one or more models to generate a set of resolution recommendations related to a low signal detected with respect to the communication network. A resolution recommendation is selected and provided as solution content to users of the communication network and / or to agents troubleshooting issues for users. Post recommendation metrics are used to identify a user that has not implemented a resolution action described by the solution content. Accordingly, a follow-up notification is sent to the user as a reminder to perform the resolution action.