27results about How to "Avoid Privacy Leakage" patented technology

The present application relates to the technical field of vehicle pseudonym replacement, and particularly relates to a vehicle pseudonym replacement method based on artificial intelligence, which comprises the following steps: determining whether pseudonym replacement is needed according to a replacement time interval value or performing secondary determination based on a quantity ratio reference value and a communication characteristic value; determining a target area type according to a to-be-replaced vehicle distribution reference value and a replacement allowance, and determining whether to directly perform pseudonym replacement or perform combined analysis according to the target area type; in the combined analysis, determining a related vehicle combination based on a position synchronization degree or an interaction reference value according to a vehicle analysis coefficient, determining whether to perform sequential setting of a virtual vehicle based on a quantity difference value or setting a virtual vehicle based on a historical attack frequency of a sub-area, and performing pseudonym replacement on to-be-replaced vehicles and virtual vehicles in the related vehicle combination. The present application can reduce the risk of vehicle location privacy leakage.

This invention discloses a method and system for protecting privacy in wearable devices for human activity recognition, aiming to solve the problems of existing methods struggling to balance privacy and utility, and high resource consumption on the edge. The method first acquires multi-channel time-series signals from the wearable device and constructs fixed-length feature vectors. Based on a sensitive attribute inference model and the number of high-risk features, it divides the device into high-risk and low-risk feature sets. Only the high-risk feature sub-vectors are subjected to perturbation noise to generate perturbation latent representations, which are then uploaded to an edge server along with the low-risk feature set. The edge server generates the final feature vectors and assesses the risk of privacy leakage. An offline evaluation is used to construct a privacy-utility trade-off, dynamically adjusting the perturbation dimension and noise amplitude. This invention achieves targeted protection of high-risk features, maximizing the preservation of key recognition information, reducing edge computing power and communication overhead, adapting to the differentiated needs of different scenarios, and balancing privacy security and activity recognition performance.

This application discloses a method and system for access control of a hospital information system based on multi-factor authentication. The method includes: obtaining a user's access request to the hospital information system and determining the medical data type corresponding to the access request; constructing a set of candidate multi-factor authentication factors; obtaining the privacy intrusion attribute and security contribution attribute of each authentication factor; under the premise of conflict constraints between the privacy intrusion attribute and the security contribution attribute, constructing a partial order relationship between the authentication factors and eliminating authentication factors that are simultaneously dominated by other authentication factors in both the privacy intrusion attribute and the security contribution attribute, to generate a set of non-dominated authentication factors; selecting authentication factors from different attribute types from the set of non-dominated authentication factors to form an authentication factor combination; authenticating the access request based on the authentication factor combination, and controlling access permissions to the hospital information system according to the authentication result. This application achieves access control that balances privacy protection and system security.

This invention belongs to the field of identity authentication in the Internet of Vehicles (IoV), specifically relating to an anonymous batch authentication method for IoV commuting environments. The invention includes: constructing an IoV system comprising a Trusted Authority (TA), roadside units (Roadside Units), and vehicles; publishing and initializing system parameters; vehicles and Roadside Units pre-registering and verifying their identities with the TA; the TA verifies the identity, calculates and returns key parameters and a pseudonym; vehicles calculate their complete private and public keys based on the returned parameters and send a verification message to the TA; the TA verifies the identity and creates a vehicle authentication schedule; commuting vehicles initiate authentication to Roadside Units (Roadside Units) on the commuting route; the Roadside Units receive the message broadcast by the vehicles, verify the legitimacy of the vehicle requests using the vehicle authentication schedule, and complete the authentication. This invention ensures anonymous and secure communication among entities in the IoV system and reduces computational and communication overhead, thereby improving authentication efficiency.

The invention provides a multi-site relay type intelligent continuous navigation system and method and a terminal, and the method comprises the steps: collecting the multi-modal biological and behavior data of a current user through site interaction terminals disposed at a plurality of key path node positions of an indoor and outdoor composite space, obtaining the navigation demands and de-identification feature codes of the current user, and obtaining the navigation demands of the current user through the de-identification feature codes; generating a navigation request message of a current user and sending the navigation request message to the navigation central server; analyzing the received navigation request message through a navigation central server connected with each site interaction terminal, executing a path planning operation, calculating a target feasible path meeting a navigation requirement, and sending the target feasible path to the corresponding site interaction terminal; displaying a target feasible path on a three-dimensional digital twinborn map of an indoor and outdoor composite space through each station interaction terminal, and guiding a current user by voice; therefore, cross-terminal relay type navigation is realized, the navigation experience of the user is improved, safe anonymous identification of the user is realized, and privacy leakage is avoided.

The utility model discloses an anus and intestine fumigation and washing machine with shame hiding device relates to fumigation and washing machine field, the utility model discloses a fumigation and washing machine body is installed with handle at fumigation and washing machine body's both sides, and is equipped with the sheltering subassembly on handle, and the sheltering subassembly includes the plugboard of inserting in two handle interiors and the card hole of setting up on handle. The utility model discloses setting up the sheltering subassembly, when needing to use fumigation and washing machine, medical staff can first insert two plugboards into handle, and when inserting, press the clamping column, so that the clamping column first moves into the recess inside, when the plugboard inserts into handle, the bottom of the bottom bracket and the top of the handle are pasted, the clamping column is aligned with the card hole, at this moment, the spring stretches and pushes the clamping column reset movement, so that the clamping column is clamped into the card hole, thereby reach the purpose of limiting and locking handle, so this can complete the installation of sheltering subassembly, and the curtain cloth can shield the patient, so that the patient can fumigate and wash in a corner of the room, and avoid the patient privacy disclosure.

According to the lost property finding method and device, the storage medium and the computer equipment provided by the invention, when the lost property query instruction is received, blind search of information is avoided by determining the lost property information and accurately positioning the matching data range, and the search efficiency is improved. Meanwhile, the lost article information and the feature vectors in the matching data range are matched in multiple dimensions such as article categories, time and space, appearance features and semantic description, the similarity between the lost article and the lost and found information can be considered more comprehensively, and therefore the matching hit rate is increased. Besides, the feature vectors in the lost property database are divided into public, semi-hidden and completely-hidden information according to user types for multi-level display, so that the requirement of information sharing is met, personal privacy is effectively protected, and the problem of privacy disclosure caused by public display of the details of the lost property is avoided. Finally, the feature vectors with the comprehensive matching scores higher than the preset threshold value are pushed to the query terminal, and the accuracy and reliability of information pushing are ensured.

The invention discloses a file desensitization and back-desensitization method and system for side-end equipment with semantic fidelity. Localized, reversible and semantic-fidelity file desensitization and back-desensitization closed-loop processing is achieved on the side-end equipment with limited resources. The technical category of the method covers lightweight named entity recognition, dynamic semantic agent generation, a deterministic token replacement mechanism, local encryption mapping table management and unstructured / semi-structured text-oriented multi-modal document unified processing, and the method is suitable for local files, which are preprocessed and converted into text sequences, such as Word, PDF, Excel, pictures and the like. The objective of the invention is to enable a third-party processing result to still have analysis effectiveness and support accurate desensitization restoration through a desensitization strategy which retains an entity type, a semantic role and a contextual relationship on the premise that original sensitive data is not out of equipment, so that the dual requirements of privacy protection and data availability under compliance requirements of GDPR, personal information protection method and the like are met.

The invention discloses an information active group sending method, which belongs to the technical field of information distribution, and comprises the following steps: triggering a task and analyzing to generate task metadata; capturing real-time features of users, generating dynamic tags, and screening effective users; generating compliant personalized single instance content in combination with the dynamic tag matching material; an optimal channel is matched and sent through a high-concurrency mechanism, and full-process compliance monitoring is executed; according to the method, the accuracy is improved through dynamic label and personalized content generation, the sending efficiency is guaranteed by means of high-concurrency scheduling and channel optimization, the risk is avoided through full-process compliance monitoring, the effect is continuously optimized by means of automatic iteration, and the method has the advantages of being high in practicability and high in practicability. The method solves the problems of low precision, poor efficiency and insufficient compliance of an existing group sending method, and is suitable for various large-scale information active distribution scenes.

The application discloses a non-balance privacy set union method and a union set system based on full homomorphic encryption, and the method comprises the following steps: a sending end sends a first to-be-unionized ciphertext set to a receiving end; the receiving end obtains a comparison result ciphertext by comparing the data difference between a first to-be-unionized set and a second to-be-unionized set according to the first to-be-unionized ciphertext set based on assignment, rotation and multiplication operation, and sends the comparison result ciphertext to the sending end; the sending end decrypts the comparison result ciphertext to obtain a blinded comparison result, and sends the blinded comparison result to the receiving end; and the receiving end determines the union set of the first to-be-unionized set and the second to-be-unionized set according to the blinded comparison result. The application can reduce the calculation amount and improve the communication speed while avoiding privacy leakage.

This invention discloses a service process monitoring method and system based on Time-of-Flight (TOF) radar imaging. The system includes a front-end TOF radar monitoring device, a cloud-based AI model layer, a data processing layer, and an application management layer. The method includes steps S1: multi-source data acquisition; step S2: data preprocessing and de-identification; step S3: data transmission; and step S4: cloud-based behavior recognition. The cloud server identifies service behaviors through a model and performs a comprehensive evaluation of service compliance, ultimately generating a service report. This invention provides a fully privacy-preserving service process recording solution; achieves accurate identification of service actions; supports 3D reconstruction of the service site, forming unalterable objective evidence for easy dispute resolution; and integrates multi-mode positioning and one-click assistance, simultaneously achieving service monitoring and personnel safety assurance.

This invention relates to the field of data monitoring technology, specifically to a business operation monitoring system based on AI data sharing, comprising: a federated learning module for aggregating model parameters of multiple business systems through a dynamic differential privacy mechanism to generate an anomaly detection model; and a knowledge graph module for constructing a dynamic service dependency graph based on logs, performance indicators, and user behavior data of the multiple business systems. In use, this invention combines a dynamic differential privacy mechanism with local training, achieving the goal of making user data available but invisible, meeting legal compliance requirements such as GDPR and data export restrictions. By automatically adjusting noise injection through a combination of information gain and differential privacy budget, the system improves model aggregation accuracy while avoiding privacy leaks. High-contribution nodes receive less noise injection, helping their high-quality local models to play a greater role in the global model. An automatic pause mechanism with an upper limit is set to prevent sensitive systems from exceeding acceptable privacy leakage limits due to excessive participation.

The invention belongs to the technical field of computer networks, and particularly relates to a local area network equipment attack monitoring and early warning method based on asynchronous parallel computing, which utilizes the existing attack data and defense data to construct an attack type knowledge graph, is convenient to inquire known attacks, provides background knowledge for monitoring unknown attacks, and improves the security of the equipment. The attack monitoring precision is improved; an asynchronous parallel computing model is designed, equipment in a local area network is used as a computing model, cross model training is carried out, and internal resources are fully utilized to improve monitoring precision and efficiency; the attack early warning scheme is preset, the defense strategy is intelligently matched for the current attack monitoring result, the attack type knowledge graph is updated in real time, the robustness is improved, the method is carried out in the local area network, and internal data privacy leakage caused by third-party management is avoided.

The application belongs to the field of network security and communication privacy protection. A hidden network construction method combining anonymous network and protocol camouflage includes constructing an initial hidden network overall framework, wherein the initial hidden network overall framework includes an initial source protocol camouflage and an initial transit network path jump; according to the protocol camouflage of the tunnel, the initial source protocol camouflage is adjusted by selecting a tunnel to obtain a target source protocol camouflage; the initial transit network path jump is configured by using a transit node to obtain a target transit network path jump; and the target source protocol camouflage and the target transit network path jump are verified to obtain a target hidden network overall framework. Through the above method, the subject information of network behavior can be disturbed, and problems such as privacy leakage and attack positioning caused by user feature portrait in the big data era can be effectively avoided.

The application provides a trajectory embedding leakage prevention method and system, including the following: in a test environment, based on similarity calculation, multi-label classification, and recurrent neural network attack trajectory embedding to be attacked, any region in the space region that the original trajectory may pass through is obtained as the predicted privacy information of the original trajectory; a model improvement step: the trajectory embedding model is investigated, evaluated, and improved through the predicted privacy information of the original trajectory; a leakage prevention step: the improved trajectory embedding model is used to prevent trajectory embedding leakage. The application obtains the privacy information of the trajectory in the test environment, achieves good attack effect, overcomes the lack of attack technology in this aspect, and can prevent embedding trajectory leakage.

This invention provides a deployment method for mobile electromagnetic spectrum monitoring equipment integrating multi-physics sensing, relating to the field of electromagnetic spectrum monitoring technology. The method includes: performing electromagnetic propagation modeling with multi-physics coupling; performing Pareto front screening to obtain H global candidate solutions; S1: performing diversity-enhanced global exploration and outputting a set of diverse potential solutions; S2: performing constraint-aware local optimization and outputting a set of compliant physical field deployment schemes; iteratively executing S1 to S2, performing two-layer physical field collaborative iterative optimization until convergence conditions are met, and outputting a multi-physics constrained deployment coordinate set; performing robustness verification, outputting an anti-interference optimized deployment scheme, and deploying the monitoring network. This solves the technical problem that existing spectrum monitoring technologies mostly rely on fixed monitoring point deployments, where the monitoring range of these devices is statically set, lacking dynamic adaptability, resulting in incomplete signal coverage and ineffective monitoring of electromagnetic interference sources.

The invention discloses a unified control method and device for smart home equipment. The method comprises the following steps: receiving original equipment communication data through an integrated multimode communication chipset; analyzing the original equipment communication data through a protocol identification algorithm to obtain equipment analysis data; selecting a target protocol analysis plug-in from a cloud protocol library according to the equipment analysis data; then, storing the target protocol analysis plug-in into a local memory of a system gateway; processing the original equipment communication data by using the target protocol analysis plug-in to obtain the current equipment state of the smart home, and / or encoding the control instruction by using the target protocol analysis plug-in to obtain a target control instruction which can be identified by the smart home equipment; and controlling the smart home device according to the current device state and / or the target control instruction. According to the invention, the technical problem that protocol compatibility and ecological barriers coexist during cross-brand interconnection and intercommunication of all smart home devices in a smart home system in the prior art is solved.

Embodiments of the present application provide a display device, a furniture layout optimization method and related apparatus, and relate to the technical field of display. The method comprises: acquiring a panoramic image of a target space, and converting the panoramic image into a planar development diagram; modeling the target space according to the planar development diagram to obtain a three-dimensional model of the target space; performing layout optimization on furniture in the target space according to the three-dimensional model to obtain a layout optimization scheme, and controlling a display screen to display the layout optimization scheme; the layout optimization scheme comprises a comparison view of an original layout and an optimized layout. The above scheme significantly reduces the cost and operation threshold of the user for layout optimization, and greatly improves the user experience.

The application discloses an image cropping method, an image acquisition device and a storage medium, relates to the technical field of image processing, and discloses an image cropping method, which comprises the following steps: determining a face existence detection result of a current image photographed by an image acquisition device based on a face detection head of a CNN convolutional neural network; determining predicted cropping point coordinates based on a cropping point positioning head parallel to the face detection head in the CNN convolutional neural network; and if the face existence detection result is that there is a face, cropping the current image based on the predicted cropping point coordinates. Through the architecture of the parallel work of the double-task head of the CNN convolutional neural network after image shooting, face existence detection and positioning of cropping coordinates are synchronously completed, the image can be automatically cropped without user operation, the image does not need to be screened one by one, the image processing process is simplified, and the image processing efficiency is improved.

The invention discloses a journal content intelligent creation and editing system based on a large language model, and relates to the field of journal content intelligent processing, and the journal content intelligent creation and editing system comprises a local computing power support module, an intelligent creation and editing core module, a dynamic knowledge service module, a full-process compliance management and control module, and an intelligent marketing and data feedback module. According to the publication content intelligent creation and editing system based on the large language model, the system constructs a complete business closed loop of creation, editing, compliance, publishing, marketing and feedback, reader feedback and business index data collected by the data feedback analysis module provides accurate guidance for subsequent topic selection planning and content optimization, and the user experience is improved. A continuously iterative virtuous cycle is formed, and popularization materials adaptive to multiple channels are generated by the scene marketing file sub-module, so that the publication exposure degree and the sales conversion rate are effectively improved; the full-process data visualization report provides decision support for management personnel.

The invention provides a mobile phone holding state recognition method based on posture and pressing information, and belongs to the technical field of mobile phone holding state recognizing.The method comprises the steps that touch information of a user is collected by installing a capacitive touch button; a carrier coordinate system and a navigation coordinate system are defined, user posture information is updated and corrected in combination with the angular velocity measured by the gyroscope, and posture and pressing information is obtained by extracting Euler angles; the adjacent capacitive touch buttons are fused, and the posture and pressing information is encoded in a segmented mode, so that the posture and pressing information subjected to dimension reduction is obtained; and constructing a classifier for voting based on a preset specific holding state category to obtain a predicted holding state, and smoothing the predicted holding state by using a sliding window and sequential logic to obtain a real mobile phone holding state. According to the invention, the problems of screen mistaken rotation, privacy disclosure and large resource consumption in the lying scene of the existing mobile phone holding state identification method are solved.

The application relates to the field of encrypted data collaborative processing, and discloses a privacy protection-oriented encrypted data collaborative processing system and method, wherein the privacy protection-oriented encrypted data collaborative processing method comprises the following steps: converting clear data of each subject into cipher text through secure multi-party computation, and accessing a system through a trusted execution environment; performing parallel computation on the cipher text data through a privacy computation special acceleration chip of a Chiplet architecture; combining a chip and a software platform to integrate a national encryption algorithm, an international standard algorithm and a federal learning framework, and constructing a cipher text computation processing environment; uniformly scheduling chip and memory resources through a privacy computation all-in-one machine server, forming a cipher text computation resource pool; homomorphically decrypting the computation result, and outputting the decrypted data to a user through a unified operation interface and a data flow circulation platform to generate a decrypted structured data set. The application has the advantages of improving computation efficiency and reducing operation cost.

This invention relates to the field of display technology and discloses a method for fabricating a privacy display device, the privacy display device itself, and a terminal device. The method includes: providing a substrate layer, the substrate layer comprising a substrate, a thin-film transistor layer, and a pixel definition layer stacked from bottom to top, the pixel definition layer including a plurality of first through-holes and a plurality of second through-holes, an anode layer disposed within the first through-holes; forming a first electrode layer on the pixel definition layer, the first electrode layer being located in the second through-holes and electrically connected to the thin-film transistor layer; forming an electrochromic layer on the side of the first electrode layer away from the substrate; forming a pixel light-emitting unit on the side of the anode layer away from the substrate; forming a transparent cathode layer on the pixel light-emitting unit and the electrochromic layer, the transparent cathode layer including a second electrode layer electrically connected to the electrochromic layer and a third electrode layer electrically connected to the pixel light-emitting unit; and forming an encapsulation layer encapsulating the transparent cathode layer. This invention not only eliminates optical moiré patterns and improves light transmittance but also reduces production costs.

This invention discloses a method for load prediction and optimized control of heating stations based on distributed machine learning, comprising: setting up corresponding edge computing devices near multiple heating stations, constructing feature vectors based on the load characteristics and time series characteristics of the heating stations; a cloud server initially sets up a global heat load prediction network model and distributes it to each edge computing device; the edge computing devices use local data to train the heat load prediction network model to obtain a local heat load prediction network model; the cloud server aggregates the local heat load prediction network models of multiple edge computing devices, updates the global heat load prediction network model, and distributes it to each edge computing device; while keeping the total flow rate of the heating system and the return water temperature of the secondary network constant, a secondary network supply water temperature prediction model is established, the setpoint of the secondary network supply water temperature is calculated, and the primary network regulating valve is adjusted to control the secondary heating network supply water temperature.

This application relates to the fields of computer vision and target detection technology, and in particular to a visible light and infrared image fusion target detection method based on federated learning, comprising: a local client, guided by text prompts, performs cross-modal fusion of visible light and infrared images in the feature domain and frequency domain respectively, to obtain feature domain fusion features and frequency domain fusion features; the local client performs state space-based dual-domain feature fusion on the feature domain fusion features and frequency domain fusion features to obtain dual-domain fusion features; a central server calculates the accuracy of the current global model on the validation set, outputs the selection probability of the local client through a pre-trained policy network, and selects the top K best local clients for model aggregation; the central server sends the parameters of the new global model to each local client, and each local client repeatedly trains its local model until the global model converges, to obtain the final visible light and infrared image fusion target detection model.

The invention discloses an energy monitoring data storage method based on a block chain. The method comprises the steps of energy monitoring data collection, data storage structure construction, data access control, data query verification and data monitoring report generation. The invention belongs to the technical field of data processing, and particularly relates to an energy monitoring data storage method based on a block chain, which adopts the design of constructing user data block batch processing and weighting Merkle tree to generate dynamic weight fingerprints, greatly reduces the uplink frequency, adopts the simplified information such as storing original data under the chain and storing fingerprints on the chain, and improves the data storage efficiency. The block chain transaction processing pressure is relieved; dynamic risk scoring and gradient access control are realized by deploying an intelligent contract, data access authority is limited in combination with data sensitivity and requester credibility, only a trusted subject is authorized to acquire data of a corresponding level, the credibility is updated in real time to form a risk control closed loop, energy monitoring data is protected from the source, and privacy leakage is avoided.

The invention relates to the technical field of nursing data security management, and discloses a data security management system and method for an intelligent nursing cloud platform, and the system comprises an edge gateway module, a multi-track transmission module, and a management reconstruction module. The method comprises the following steps that: an edge gateway module acquires a nursing data stream, splits the nursing data stream into data slices, and analyzes the data slices into a data load, a time sequence index and an identity label vector; extracting physiological rhythm characteristics, calculating a sending interval, and sending data through an independent channel; the governance reconstruction module records the actual arrival time interval and restores the physiological rhythm features; and calculating the correlation between the two, and reconstructing the data by using the identity label and the time sequence index if a threshold value is met. According to the invention, by associating the physiological rhythm and the transmission behavior of the nursing data and utilizing a correlation verification mechanism to identify counterfeiting and replay attacks, the authenticity and integrity of the multi-source heterogeneous nursing data converged at the cloud end are ensured.