15results about How to "Improve privacy and security" patented technology

The invention relates to the technical field of block chains, and discloses a block chain data encryption query method, device, equipment and medium, the method comprises the following steps: extracting data content information of to-be-chained data, using a homomorphic encryption algorithm to encrypt the data content information to obtain ciphertext content information; taking the ciphertext content information and the corresponding ciphertext hash value as on-chain evidence storage data to be stored in a block chain in a chaining manner; performing association mapping on the on-chain evidence storage data and the ciphertext access rule through the smart contract to generate an authority association rule corresponding to the on-chain evidence storage data; performing permission verification on the access permission in the data query request based on a permission association rule; after the permission verification is passed, querying the on-chain evidence storage data in a homomorphic encryption state according to the data query request to obtain an encrypted query result; and decrypting the encrypted query result to obtain target plaintext query data. The reliability of data encryption query can be improved.

The invention discloses an image processing method and device, electronic equipment and a medium, and belongs to the technical field of image processing. The method comprises the following steps: receiving an encrypted image corresponding to an original image and encrypted information, wherein the encrypted information is a transformation relation adopted for transforming the original image into the encrypted image; and inputting the encrypted image into an image processing model to perform image feature data reduction operation on the encrypted image based on the encrypted information to obtain image feature data corresponding to the encrypted image, the image feature data corresponding to the encrypted image being the same as the image feature data corresponding to the original image.

This application relates to a transmission path planning method and apparatus for data sharing and exchange in a controlled network environment, belonging to the field of network communication and data transmission technology. The method includes: calculating the comprehensive adaptability score of the service links of the controlled network subdomains to the current service based on a security-performance dynamic coupling model, and using this score as the service link coupling feature; aggregating the service link coupling features of all subdomains to generate a global feature vector and inputting it into a policy generation model, outputting a basic path policy for cross-domain data sharing and exchange, and storing it in a historical policy database; when services are updated or new subdomains are added, performing path migration adaptation between the new service features or the service link coupling features of the new subdomains and the basic path policy, outputting a target path policy and comparing it with the historical best value for similarity, triggering policy fine-tuning based on the comparison result to obtain the optimal path policy. This method can achieve efficient, secure, and flexible data sharing and exchange in a controlled network environment.

This invention discloses a multi-dimensional privacy information perception and collection method. It constructs a formal description model of multi-dimensional privacy information, characterizing privacy information from multiple perspectives, including its composition, attributes, permissions, and control. Based on active learning and transfer learning algorithms, it builds a metadata intelligent perception, identification, and labeling method adaptable to various application scenarios and privacy protection strategies. This patent's advantages in adapting to multiple scenarios and information types allow it to adapt to the impact of changing application scenarios on privacy properties, reduce the concealment of privacy information caused by multiple information types, and improve the accuracy of privacy information perception. It focuses on perceiving multiple types of privacy information, comprehensively perceiving different privacy types such as text, images, and sound. Compared to existing single-type privacy perception methods, it is more beneficial for subsequent privacy strategy formulation and privacy control implementation, improving user privacy security. It has strong privacy perception capabilities, can process different types of data in parallel, and offers accurate privacy positioning and fast data processing.

The application provides a front-end reasoning deployment method and system based on a TensorFlow lightweight model, comprising: in a client, creating a background thread independent of a main thread; in the background thread, performing a model loading step, the model loading step comprising: judging whether a new version of a deep learning model needs to be obtained from a server through a local cache verification mechanism, and obtaining or using the deep learning model cached locally according to the judgment result; the main thread and the background thread interact through an asynchronous communication mechanism to perform reasoning calculation based on the deep learning model in the background thread, and send the reasoning result from the background thread to the main thread. The application realizes low-delay real-time reasoning: the reasoning process is completely completed in the local client of the user, and data does not need to be uploaded to the server, eliminating the delay caused by network transmission and greatly improving the real-time performance of artificial intelligence functions.

This invention discloses a multimodal intelligent interactive portable terminal, relating to the field of portable intelligent terminal technology. It includes a hardware security sensing unit, a buttonless voice interaction unit, a covert alarm unit, a tiered alarm unit, a local AI processing unit, a peripheral expansion unit, and an optional hardware isolation unit. It integrates security monitoring, voice interaction, covert alarm, local intelligent assistance, and multi-device linkage functions, supporting offline local operation and hardware-level privacy protection. It features strong alarm concealment and high interactivity. This invention is comprehensive in function, highly secure, and highly portable, suitable for various scenarios such as personal daily life, business communication, and security protection, meeting users' diverse intelligent interaction and security protection needs.

The application belongs to the technical field of Internet, and particularly relates to an industrial Internet cross-domain metadata trusted fusion method and system, comprising the following steps: collecting structured metadata, time series metadata and relationship metadata of each industrial domain node, and constructing an intra-domain metadata graph based on field attributes and call relationships; performing semantic coding and time series coding on the intra-domain metadata graph, obtaining corresponding semantic representations and time series representations, and calculating inter-field consistency; identifying stable field clusters, drift field clusters and abnormal nodes according to the inter-field consistency in each industrial domain node; and performing segmented aggregation on the stable field clusters and the drift field clusters by each industrial domain node to generate anchor field summaries and drift trajectory summaries. The application combines metadata graph coding, field clustering and federal dynamic weighting, and realizes industrial cross-domain metadata private trusted fusion through abnormal compensation correction.

The application provides a privacy protection density clustering method, an electronic device and a storage medium. The method comprises the following steps: sending a plurality of ciphertext data to two cloud servers, so that each cloud server determines the object type of each received ciphertext data, the object type comprising a core object or a boundary object, and based on a privacy protection DBSCAN algorithm, each core object and a target boundary object in the neighborhood range of the core object are grouped into a temporary cluster, the target boundary object only belongs to one temporary cluster, the connection relationship between each temporary cluster and other temporary clusters is determined, and the connection relationship is fed back; according to the connection relationship fed back by the two cloud servers, the connected temporary clusters are merged, and a clustering result is obtained. The application can improve privacy security, and improve clustering efficiency and clustering quality.

The utility model provides a quilt, and relates to the technical field of smart home. The plurality of temperature sensors are arranged at a plurality of preset positions of the quilt core at intervals, and the plurality of temperature sensors are used for monitoring temperature signals of a plurality of body parts of a human body respectively; and the output interface is electrically connected with the plurality of temperature sensors, and the output interface is used for outputting the plurality of temperature signals. The multiple temperature sensors are arranged at the multiple preset positions of the quilt core at intervals so as to monitor the temperature signals of the multiple body parts of the human body, the output interface is arranged, the output interface is electrically connected with the multiple temperature sensors so as to output the multiple temperature signals, and therefore the temperature of the human body can be monitored. Real-time collection of the body surface temperature distribution characteristics of the user can be achieved in a non-contact temperature monitoring mode, and therefore the accuracy and privacy safety of sleep behavior monitoring are improved.

The invention belongs to the technical field of Internet of Vehicles federated learning, and particularly relates to an alliance-based Internet of Vehicles federated learning method, system and device. The method comprises the following steps: firstly, converting convergence local model parameters uploaded by each vehicle into proportion vectors representing local data category distribution by using a small-scale balance auxiliary data set at a base station side; the distribution similarity among the vehicles is measured based on the divergence, the vehicles with similar distribution are clustered to form a plurality of alliances in a self-adaptive manner through a preset divergence threshold, and the number of the alliances does not need to be preset; and finally, vehicles in each alliance cooperatively train an exclusive alliance model. According to the method, the problem of model generalization under data isomerism is effectively solved, the prediction precision and convergence speed of each vehicle end model are remarkably improved while the privacy of the original data is guaranteed, and the method is suitable for an Internet of Vehicles environment.

The invention discloses an electric power operator behavior edge identification and AR correction method and system based on a double-flow heterogeneous lightweight network. The method comprises the following steps: acquiring a first visual angle video stream and sensor data of a six-axis inertial measurement unit through intelligent equipment; performing normalization and de-noising processing on the video frame, and segmenting the video frame into short-time video clips according to a time window; running the pre-trained double-flow heterogeneous lightweight network, performing real-time reasoning on the video clip, and outputting a current behavior category label; the behavior confidence degree output by the double-flow heterogeneous lightweight network model is compared with a preset threshold value to judge whether the event is a violation event or not; if the event is identified as a violation event, a deviation correction mechanism is triggered immediately; and encrypting and uploading the violation event log to an enterprise security management platform or other third-party platforms for users to check, count and trace. The method can effectively solve the problems of high behavior identification delay, dependence on cloud, low edge equipment operation efficiency, insufficient multi-behavior identification precision and the like in the prior art.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a virtual intercom. In some implementations, a request from a visitor device to communicate with an occupant of a particular unit of the facility is received. A location of the visitor device is received. Based on the received location, it is determined that the visitor device is within a predetermined bounded area. An occupant profile is identified based on the received request. Information associated with the occupant profile is obtained. Based on the obtained information, it is determined the occupant has registered a profile. Based on the obtained information, a communication path to an occupant device is identified. The request from the visitor device is sent, using the communication path, to an occupant device belonging to the occupant. A response from the occupant device is received. Based on the response, an action is performed.

The utility model discloses an anti-copying key structure of a mechanical lock. The anti-copying key structure comprises a key body, the adaptation mechanism is arranged on the outer side of the key body and used for being matched with a lock; one end of the key body is provided with a rotating mechanism used for extending to be matched with a lock for unlocking and a connecting mechanism matched with the rotating mechanism. The connecting mechanism comprises a connecting groove formed in one end of the key body and used for being matched with the lock. Through the matching arrangement of the adapting mechanism, the connecting mechanism and the rotating mechanism, the anti-copying advantage is realized, rubbing by external tools such as plasticine is avoided, the safety privacy is effectively improved, the copying difficulty can be increased by utilizing the irregular and complicated adapting mechanism, and meanwhile, the rotating mechanism can be adapted by utilizing the connecting mechanism, so that the anti-copying effect is realized. And extension and contraction adjustment is conducted on the connecting mechanism and the rotating mechanism, and a connector in the rotating mechanism can be adjusted to be matched with a customized lock, so that unlocking operation is completed.

The invention provides a consistency control method and device for an unmanned aerial vehicle cluster system. Each unmanned aerial vehicle in the system collects an initial state value of at least one state quantity of a target object, decomposes the initial state value into a plurality of sub-state values, and maintains a total state variable, a total quantity variable and an auxiliary variable; the method comprises the steps that each unmanned aerial vehicle judges whether the unmanned aerial vehicle meets a message sending condition or not based on a preset state non-zero constraint and a topological memory constraint; when a message sending condition is met, generating a consistency updating message carrying a part of non-zero sub-state values and auxiliary variable values, sending the consistency updating message to a neighbor, and setting the part of local non-zero sub-state values and the auxiliary variable values of the unmanned aerial vehicle to be zero; and when the unmanned aerial vehicle receives the consistency updating message, updating a local variable value based on the consistency updating message, and performing consensus judgment based on the updated variable value. According to the technical scheme, the communication efficiency, the safety and the operation reliability of the consistency control process can be improved.

The application belongs to the technical field of multi-source data processing and collaborative computing, and aims at the problems of multi-source heterogeneous data in complex dynamic scenes, such as time and space asynchronization, non-uniform characteristics, high processing delay, and weak concurrent support capability, and proposes a real-time processing and collaborative computing method for multi-source heterogeneous data with unified time and space reference. The method completes device coordinate calibration and timestamp calibration with Beidou time and space reference, realizes millisecond-level time and space synchronization; through a lightweight dynamic feature coding network and a self-adaptive weight distribution mechanism, unified feature extraction and target matching of multi-modal data are completed; an edge-cloud collaborative architecture is constructed, combined with hierarchical feature compression and asynchronous federated learning, supporting concurrent access of ten thousand devices and reducing end-to-end delay; integrating a digital twin engine and an operational optimization algorithm, scene deduction, resource scheduling and accurate instruction issuing are realized, which can be widely applied to global precise management and control in complex dynamic scenes such as ports and parks.