70 results about "Family network" patented technology

The invention discloses a home equipment management method, a storage medium and an electronic device, and relates to the technical field of smart home, and the method comprises the steps: responding to a home network creation request of a target object to create a home network, and setting the target object as a home network creator. And in response to an equipment binding request sent by the creator, adding the equipment information and authority information of the plurality of pieces of equipment carried in the equipment binding request to the home network so as to bind the control authority of the plurality of pieces of equipment through the home network. And when an operation request of a visitor of the home network for the security device is received, verifying the identity of the visitor, and when it is determined that the identity of the visitor is a creator, allowing the operation request of the visitor for the security device. The security of the home network is improved by setting the creator for the home network and implementing the operation authority verification of the security device based on the identity of the creator.

The invention discloses a dynamic distribution method and device for network resources. The method comprises the following steps: acquiring device data, user behavior data and environment data of each intelligent device in a home network; processing the equipment data, the user behavior data and the environment data through a scene recognition model to obtain a home collaborative scene type of the home network; the scene priority of the family cooperation scene type is calculated according to the family cooperation scene type, the user identity and the time sensitivity; generating a network resource allocation strategy according to the scene priority and the equipment demand information; and distributing network resources to each intelligent device according to the network resource distribution strategy. According to the method and the device, the technical problem that resource allocation and actual requirements are disjointed due to the fact that a resource allocation mode based on static QoS configuration or simple flow classification cannot adapt to the requirements of multi-device collaboration and dynamic change in a home network in the prior art is solved.

The invention discloses a family cloud computing method and system based on a set-top box, and relates to the field of family cloud computing of the set-top box, and the method comprises the steps: enabling the set-top box to serve as an edge node to be deployed in a family network, and enabling the set-top box to be responsible for receiving the operation data of an intelligent household electrical appliance, and processing an interaction task with a cloud computing management server; establishing a household appliance data dynamic uploading mechanism, and adaptively switching a data uploading mode according to a server state; setting a dynamic sliding window and an attention mechanism, and dynamically capturing a time sequence rule of user behaviors; dynamically regulating and controlling the operation mode of the intelligent household electrical appliance based on a neural network algorithm; and setting a standby control channel, detecting whether the intelligent household electrical appliance and the set top box are connected abnormally, and dynamically adjusting the master control channel and the standby control channel. The method has the advantages that through load sensing uploading, time sequence behavior analysis and neural network regulation and control, the robustness of the system is ensured through dual-channel redundancy control while intelligent regulation and control of the household appliances are ensured, and the response speed and reliability are remarkably improved.

The invention provides a smart home security authentication management method and system based on a wireless local area network. The method comprises the following steps: constructing a home network security authentication domain; when a new smart home device is accessed, marking the new smart home device as a second smart home device, and obtaining a device authentication state matrix of a home network security authentication domain; generating an authentication challenge vector based on the device authentication state matrix, and sending the authentication challenge vector to the second smart home device and the first smart home device for cooperative verification; and if the authentication challenge vector passes the cooperative verification, updating keys of all smart home devices in the home network security authentication domain according to a preset dynamic key synchronization protocol. Through construction of a home network security authentication domain, intra-domain sharing of security parameters such as a device authentication state and key management is realized, when any key is updated, other devices update synchronously, and associated dependence exists among keys, so that a risk conduction path of a whole network falling situation caused by key leakage of a single device is blocked.

The invention discloses a home network security monitoring method and device based on FTTR, equipment and a medium, and relates to the field of data processing.The method comprises the steps that historical behavior data of all equipment in a home network is collected, and an initial security detection model is constructed based on the historical behavior data, preset parameters and a DBSCAN algorithm; under the condition that new equipment is accessed, behavior data of the new equipment are collected, and the similarity between the behavior data and historical behavior data of all the equipment is calculated; adjusting the preset parameter based on the access time of the new equipment and the similarity; and correcting the initial security detection model based on the adjusted preset parameters, and completing home network security monitoring based on the corrected initial security detection model. The problem that when new equipment is accessed, a traditional anomaly detection model based on historical data training cannot automatically adapt to feature space changes caused by access of the new equipment, and consequently the false alarm rate suddenly rises is solved.

The invention discloses a guest room private network construction method and system based on a WiFi system, a medium and a product, and relates to the technical field of WiFi. The core technology of the method is characterized in that a unique virtual network identifier is generated for a guest room identifier; configuring a virtual tunnel endpoint on a wireless access point serving the guest room, and associating the virtual tunnel endpoint with the identifier; and when the client equipment is accessed, the client equipment is bound with the virtual network identifier, so that a guest room exclusive and logically isolated private network is dynamically constructed. Through the application, the'one-time 'limitation of traditional client isolation is effectively broken through, and on the premise of ensuring network security isolation between different guest rooms, safe and reliable interconnection of internal equipment of the same guest room is realized, so that equipment linkage experience such as convenient wireless screen projection and file sharing as a home network is provided for hotel passengers, and the hotel guest experience is improved. And the service quality is obviously improved.

The present invention relates to a device and method for configuring a group in a home network system. The method for configuring a group in a home network system according to an embodiment of the present invention is an operation method of two or more home appliances and a user terminal that constitute the home network system, and comprises the steps in which: the user terminal configures a group for the two or more home appliances, transmits, to a master apparatus among the home appliances, a first message for notifying that the master apparatus is a master apparatus of the group, and transmits, to slave apparatuses among the home appliances, a second message for notifying that the slave apparatuses are slave apparatuses of the group; the master apparatus and the slave apparatuses receive the first message and the second message, respectively, and then transmit and receive a message of an internet protocol (IP) layer in order to perform a discovery process; and the master apparatus and the slave apparatuses transmit and receive a message of an application layer in order to perform a grouping process after the discovery process.

The application discloses a kind of determination method, device and equipment of family network and storage medium.The method comprises: obtaining the communication characteristics of N first users;At least one intimacy of at least one user pair formed by N first users is determined according to the communication characteristics;At least one intimacy is used to construct social network with N first users as node;In the social network, determine target user pair, wherein the target user pair includes first target user and second target user, and the first target user and the second target user belong to the same family network, all nodes in the family network are members of the same family, and Q target closed loop paths are screened out in the social network according to the target user pair;The nodes in the first target user, the second target user and the Q target closed loop paths are determined as pruned network;And pruning network is cut, to obtain family network.According to the embodiment of the application, the accuracy of family relationship identification can be improved.

A malware detection method for a home network system including one or more home appliances that are connected to a home network includes: obtaining a plurality of setting values including at least information indicating a device type and an operating state of a target device subject to malware detection; selecting one detection model out of a plurality of detection models according to the plurality of setting values obtained; obtaining power consumption or current consumption of the target device; and detecting whether the target device is infected with malware, using the one detection model selected in the selecting and based on the power consumption or the current consumption obtained.

1. Name of the product in this design: Gateway (FTTR). 2. Purpose of this design: This design is for home network connection. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

A room private network construction method, system, medium and product based on a WiFi system, relate to the WiFi technical field. The core technical feature of the method is that a unique virtual network identifier is generated for a room identifier; a virtual tunnel endpoint is configured on a wireless access point serving the room, and is associated with the identifier; when a client device accesses, it is bound with the virtual network identifier, thereby dynamically constructing a room-specific, logically isolated private network. Through the present application, the "one-size-fits-all" limitation of traditional client isolation is effectively broken, and under the premise of ensuring network security isolation between different rooms, safe and reliable interconnection of devices within the same room is realized, thereby providing hotel guests with a convenient wireless screen projection, file sharing and other device linkage experience like a home network, significantly improving service quality.

Systems, methods, and apparatus for wireless communication are described. A wireless communication method includes receiving, by a network node, multiple mobile network registrations. The method further includes determining, by the network node and based on the multiple mobile network registrations, an access and mobility management function (AMF) or a security anchor function (SEAF). The method further includes transmitting, by the network node, an authentication message to the AMF or the SEAF. The described techniques may be adopted by a network device or by a wireless device.

The invention relates to a personalized digital picture frame content recommendation and carousel method and system for an intelligent picture screen. Highly personalized content experience: recommending content highly matched with aesthetic preferences of the user by deeply analyzing behavior data of the user in the mobile application; dynamically adaptive content updating: continuously optimizing content recommendation based on the latest behavior data of the user and the environment context, and keeping the freshness and correlation of the content; natural and elegant visual experience: through optimized carousel parameters and transition effects, visual enjoyment similar to a real art picture frame is provided, and the aesthetic atmosphere of a family environment is enhanced; efficient system performance: through an intelligent content caching and preloading mechanism, smooth content loading and display in a home network environment are ensured; a user interest model is continuously optimized through a feedback mechanism, so that the system becomes more intelligent and accurate along with the increase of the use time.

The invention relates to the technical field of computers, in particular to a home network multi-dimensional scheduling optimization method and device based on AI intention recognition. The method comprises the following steps: collecting home network sensing data of multiple dimensions in real time; analyzing network call ticket data in the home network sensing data to obtain personalized requirements of each user on network performance in the use and application process; the current network environment quality of each user is evaluated from multiple angles based on the home network sensing data; according to the network environment quality and the personalized requirements of each user, matching scheduling rules of multiple dimensions for at least one user from a preset strategy library, preferentially executing the matched scheduling rules for the high-priority users, and after the personalized requirements of the high-priority users are met, executing the scheduling rules of multiple dimensions for the users based on the remaining available network resources. And executing respective matched scheduling rules for other users in sequence. According to the invention, the network resources can be accurately regulated and controlled, and a guarantee is provided for the network environment of key services.

As described herein, systems, methods, and computer programs are provided for optimizing a network experience using a residential network router. During use, an electronic calendar is accessed by the residential network router. Furthermore, the residential network router determines a plurality of events saved to the electronic calendar, wherein the plurality of events at least partially require simultaneous use of network resources (e.g., bandwidth). Furthermore, the residential network router prioritizes the plurality of events. Furthermore, based on the prioritization, the residential network router allocates available network resources among the plurality of events.

Malware detection logic executed by a secured device residing in a home network may receive a message from an unsecured device of a first unsecured network and intended for a destination device of the home network, the destination device comprising a security client. The malware detection logic may establish a secure communication channel between the malware detection logic of the secured device and the security client of the destination device. The malware detection logic may execute a validation test on the message to determine that the message includes malware. The malware detection logic may report an alarm to the security client of the destination device. The malware detection logic may transmit information related to the malware to a cloud computing server. The malware detection logic may prevent an application associated with the destination device from processing the message.

The invention discloses a home relation chain upgrading method and system based on Neo4j graph data, and belongs to the technical field of graph databases, and the method comprises the following steps: home relation modeling, visualization and interaction of a dynamic home network, efficient relation query and analysis, data security and privacy protection, and performance optimization. According to the method, a family relationship chain is effectively constructed and maintained by utilizing a Neo4j graph database, a complex family relationship is accurately expressed as nodes and relationships, a data model is ensured to be flexible and easy to expand, and the system also has the functions of visualization and interaction of a dynamic family network, efficient relationship query and analysis, data security, privacy protection and the like, and is suitable for being popularized and applied. More convenient and efficient family information management service can be provided for family members, and learning interaction among the family members is promoted.

The invention relates to the technical field of building talkback, in particular to a method and system for converting a community network into a home network. A main control screen and a plurality of sub-control screens are arranged in the same home network, a sub-control screen list composed of the plurality of sub-control screens is established in the main control screen, and the main control screen and a plurality of ladder way machines are arranged in the same community network; when the main control screen receives a call request initiated by the ladder way machine through the community network, the call request is forwarded to the sub-control screen list under the home network; when one sub-control screen in the sub-control screen list answers, an answering command is sent to the main control screen; and after receiving the answering command, the main control screen forwards the answering command to the ladder way machine, hangs up own call and calls to other sub-control screens at the same time, and establishes talkback communication between the ladder way machine and the sub-control screens. And the owner end only needs to carry a network cable as a main control screen to access the community network to forward data, so that the sub-control screen without carrying the network cable can receive the call of the ladder way machine.

The application provides a wireless local area network-based smart home security authentication management method and system, comprising: constructing a home network security authentication domain; when a new smart home device is accessed, marking the new smart home device as a second smart home device, and obtaining a device authentication state matrix of the home network security authentication domain; generating an authentication challenge vector based on the device authentication state matrix, and sending the authentication challenge vector to the second smart home device and a first smart home device for collaborative verification; if the authentication challenge vector passes the collaborative verification, updating the keys of all smart home devices in the home network security authentication domain according to a preset dynamic key synchronization protocol. Through the construction of the home network security authentication domain, the security parameters such as the device authentication state and the key management are shared in the domain, when any key is updated, other devices are synchronously updated, and there is a correlation and dependence between the keys, thereby blocking the risk transmission path of the single device key leakage leading to the collapse of the whole network.

The concepts and technologies disclosed herein are directed to home gateway monitoring for vulnerable home Internet of Things (“IoT”) devices. According to one aspect disclosed herein, a home gateway can scan a home network address space of a home network for an IoT device. The home gateway can perform a vulnerability test on the IoT device to determine whether the IoT device is vulnerable to a known vulnerability. In response to determining that the IoT device is vulnerable to the known vulnerability, the home gateway can change a device status of the IoT device to a vulnerable status and can change a permissions level of the IoT device to a quarantine permissions level.

This invention relates to an apparatus and method for setting up groups in a home network system. One embodiment of the method involves two or more home appliances and a user terminal constituting the home network system. The method includes: a user terminal setting up a group for two or more home appliances and sending a first message to a master device in the home appliances notifying it that it is the master device of the group, and a second message to a slave device in the home appliances notifying it that it is the slave device of the group; the master device and the slave device respectively receiving the first and second messages and then sending and receiving Internet Protocol Layer (IPL) messages to perform a discovery process; and the master device and the slave device sending and receiving Application Layer (ALL) messages after the discovery process to perform a grouping process.

A processor-implemented method for building a family network with invitees to an event using a machine-learning model is provided. The method includes (i) generating an event invite using event information obtained from the user of the family network, (ii) sending the event invite to each of the invitees and a request for adding the invitee to the family network of the user, and (iii) automatically connecting the invitees with the family network of the user using the machine learning model. The machine learning model is configured to add the invitee who is the family member of the user to a family tree of the user, add the invitee who is a relative of the user to a relative section of the user's family network, and (iii) add the invitee who is the family friend of the user to a family friend section of the user's family network.

The application provides a simplex family network structure robustness analysis method and relates to the technical field of control and information. According to three simplex network generation algorithms, different initial networks are constructed, and based on a structure robustness index calculation formula, analytical expressions of the structure robustness of the three simplex networks are derived theoretically, and the influence mechanism of network topology and attack mode on the system structure robustness is revealed. The simplex family network is used to describe the structure of an actual complex system, can effectively reflect the high-order interaction relationship of the actual network, and is more suitable for modeling of a real network system; the node degree-based attack mode is used to simulate the deliberate attack suffered by the actual network system, and the influence mechanism of the high-order interaction and the attack mode on the structure robustness is revealed, which can provide scientific theoretical support and technical implementation guidance for reasonably formulating a network attack defense strategy in practical applications.

A malware detection method for a home network system including one or more home appliances that are connected to a home network includes: obtaining a plurality of setting values including at least information indicating a device type and an operating state of a target device subject to malware detection; selecting one detection model out of a plurality of detection models according to the plurality of setting values obtained; obtaining power consumption or current consumption of the target device; and detecting whether the target device is infected with malware, based on stable power or stable current obtained in the obtaining of the power consumption or the current consumption using the one detection model selected in the selecting, when the power consumption indicates stable power that varies within a predetermined range or the current consumption indicates stable current that varies within a predetermined range.

An embodiment of the present invention provides a method, apparatus, and electronic device for fault detection of a home network. In this method, in response to a detection request submitted by a user terminal, a preset speed measurement interface is called to measure the speed of a first gateway in the home network, and a first network speed is obtained; the first gateway is a device provided by a broadband provider. If the first network speed matches the standard network speed, when the home gateway used in the home network is a second gateway, the second network speed of the speed measurement point within the home range of the user terminal is obtained; the second gateway is connected to the first gateway, and the second gateway is other gateway devices except those provided by the broadband provider. If the second network speed does not meet the preset network speed requirement, the second gateway is determined as a fault node, and a first prompt message is returned to the user terminal; the first prompt message is used to prompt the user to process the second gateway. In this way, the cost of network fault detection is reduced to a certain extent.

1. The name of the design product: gateway (FTTR). 2. The use of the design product: the design product is used for home network connection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

A communication method and apparatus are provided. The method includes: A home network security endpoint receives a first request from user equipment, where the first request includes a first identifier of the user equipment. The home network security endpoint then send a second request to a first network function, where the second request includes a second identifier of the user equipment, and receive a first key from the first network function, where the first key is generated based on a cipher key, an integrity key, and a name of a serving network of the user equipment. The home network security endpoint may generate a second key based on the first key, where the second key includes an encryption protection key and / or an integrity protection key.

1. The name of the design product: gateway (FTTR). 2. The use of the design product: the design product is used for home network connection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

1. The name of the design product: gateway (FTTR). 2. The use of the design product: the design product is used for home network connection. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention provides a home network fraud risk early warning method, device, equipment, product and medium, and relates to the technical field of network security. The method comprises the following steps: determining webpage text information of a website to be identified and an access record of the website to be identified based on home network communication data; identifying the webpage text information based on a preset scene identification rule, and determining a fraud risk scene of the website to be identified based on an identification result; marking the website to be identified as a fraud risk domain name based on a comparison result between the webpage text information and each piece of sensitive application information in a preset sensitive application information set; determining a fraud application name based on the webpage text information; and generating early warning information based on the fraud risk scene, the fraud application name and the access record, and pushing the early warning information to family members in the home network. According to the method, the fraud risk type and source of the website to be identified are identified, comprehensive early warning information is generated, and the home network security protection capability is improved.