123results about How to "Avoid Privacy Leakage" patented technology

The invention discloses a privacy protection method and device in large model reasoning, equipment, a medium and a product, and relates to the technical field of large models.The privacy protection method in large model reasoning comprises the steps that disturbance transformation is conducted on original statements in an original query instruction, and multiple disturbance statements corresponding to each original statement are obtained; selecting disturbance statements of which the semantic coherence degree meets a preset condition from a plurality of disturbance statements corresponding to each original statement, and determining a disturbance data set; sending the disturbance data set to a big language model deployed at a cloud end, and obtaining a disturbance query result fed back by the big language model; and inputting the disturbance query result into a pre-trained local decoder, and outputting a target query result corresponding to the original query instruction by the local decoder. According to the technical scheme provided by the invention, the privacy security of a user in the process of reasoning by using a large model is guaranteed, and a relatively accurate target query result can be obtained.

The invention discloses a personalized federal confrontation cross-modal hashing method based on double prototypes, which mainly comprises the following steps of: clustering local class-level prototypes uploaded by a client at a server side to obtain a clustering prototype, averaging to obtain an unbiased prototype, and according to gradient change, obtaining an unbiased prototype; generating personalized hierarchical weights for the client network using the super network; the client constructs an adversarial learning process by using approximate hash codes and clustering prototypes of the two modal networks, keeps the consistency between an unbiased prototype and a local class-level prototype, and further embeds the unbiased prototype into a training process of a client model; after local training is completed, all network parameters and local class-level prototypes of the client side are uploaded to the server; and after the last communication round is completed, generating a to-be-retrieved hash code based on the final client parameter, and providing an original data retrieval result according to the original data position information corresponding to the hash code with the minimum distance.

The invention discloses a lifelong target re-identification method based on descriptive text prompt prototype compensation, relates to the field of computer vision, and aims to display and solve the problem of feature drift caused by model increment update by introducing a prompt prototype compensation module. The module generates a multi-modal vision and text prototype for each target category through a vision language pre-training model, and maps old task features to a new task feature space through a cross attention mechanism so as to realize fine-grained semantic drift compensation. In addition, a boundary perception prototype correction module is designed to solve the problem of boundary confusion caused by updating of old prototypes. The module dynamically samples false features in compensation distribution to correct old prototypes with fuzzy boundaries, focuses on categories easy to confuse to maintain clear decision boundaries, optimizes cross-task and intra-task correction loss to reduce category confusion, effectively alleviates the problem of disastrous forgetting, and improves the adaptability and generalization ability of the model.

The invention relates to an intelligent glasses control method and system based on multi-modal privacy protection, and the method comprises the steps: collecting multi-modal sensory data of a user, carrying out the preprocessing of the multi-modal sensory data, and generating sensory sharing data; analyzing the sensory shared data by using a multi-modal privacy feature extraction algorithm to generate a privacy feature vector; classifying and identifying the privacy feature vectors based on a multi-layer privacy judgment rule to obtain a judgment result; performing data processing based on processing logic in the multi-layer privacy decision rule to generate shared data after privacy protection processing; storing the shared data subjected to privacy protection processing to a cloud end, retrieving the corresponding shared data subjected to privacy protection processing from the cloud end according to the sharing demand information of the target equipment, and encrypting the shared data to generate encrypted shared data; and decrypting and reconstructing the encrypted shared data in the target equipment to generate shared display data. The method has the effect of improving the accuracy of identifying the privacy data of the intelligent glasses.

The invention discloses a decentralized identity authentication method using a DID technology, and the method comprises the following steps: S1, generating a public key and a private key by a user, and generating an identity identifier by using the public key; s2, the user combines the identity data with the identifier, encrypts the identity data and the identifier, and stores the encrypted identity data and identifier on the block chain; s3, the third-party authentication mechanism issues a verifiable certificate based on the identifier; s4, the user manages the verifiable certificate, signs the identity verification request by using a private key, and sends the signed identity verification request to the verifier; s5, the verifier verifies the validity of the signature through the public key on the block chain; s6, recording verification time, a signature and a result, and storing the verification time, the signature and the result on the block chain; s7, the user can recover the lost private key or identity identifier through multiple signatures or other mechanisms; and S8, providing a user-friendly interface, supporting cross-platform migration of identity data, following open standards and protocols, and establishing a transparent governance mechanism. According to the method, the block chain and the advanced encryption technology are combined, and safe storage and privacy protection of identity data are realized.

The invention discloses a data security document generation method and system based on an RAG technology, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out isolation processing on data security related data based on data source information; storing the encrypted data and the unencrypted private data into a private data security database, and updating the mass data security vertical industry data into the private data security database in real time; in response to a generation request of the data security document, extracting a keyword corresponding to a user demand, and performing similarity retrieval in the private data security database based on the keyword to obtain corpus data having the highest similarity with the keyword; and the corpus data, the user demand and the final document template are jointly input into the large language model to generate the data security document, so that the efficiency and accuracy of generating the data security document are improved.

The invention discloses an intelligent question and answer generation method and system based on a large language model, and relates to the technical field of data information analysis, and the method comprises the following steps: obtaining electronic data, and storing the electronic data in a relational database; the method comprises the following steps: carrying out training on an Embedding Model; generating corresponding first vector data from the training data, and storing the first vector data, the first SQL statement and the answer content into a vector database; obtaining a user question, vectorizing the user question through an Embedding Model to obtain second vector data, and generating a cue word through vector recall; and inputting the cue word into the first large language model to obtain a second SQL statement, and executing the second SQL statement in the relational database to obtain a query result. According to the method and the device, the complexity of table design is reduced in the data storage stage, and the processed structured data is stored in the relational databases with different themes. And interacting with corresponding relational databases aiming at different topics, and quickly querying, positioning and analyzing data.

The invention provides a psychological counseling method and system based on AI generative dialogues in the technical field of psychological counseling. The method comprises the steps of S1, obtaining psychological counseling historical data to construct a data set; s2, training the generative dialogue model by using the data set; s3, acquiring input psychological consultation voice data, converting the psychological consultation voice data into psychological consultation text data, and inputting the psychological consultation text data into the generative dialogue model to obtain consultation feedback text data; s4, converting the consultation feedback text data into consultation feedback voice data and automatically playing the consultation feedback voice data so as to perform dialogue interaction; and step S5, in the dialogue interaction process, monitoring the emotion of the user in real time, and generating and displaying a psychological health report based on the emotion of the user and the psychological consultation text data. The psychological counseling system has the advantage that the interactivity and safety of psychological counseling are greatly improved.

The invention provides a multi-position overlapping image privacy protection method and system based on compressed sensing, and relates to the technical field of compressed sensing and image privacy protection, and the method comprises the steps: obtaining an original image, and dividing privacy parts and non-privacy parts of different parts of the original image; generating a coincident privacy mask for the coincident privacy part, generating a privacy mask for the non-coincident privacy part, confusing all the privacy parts, and performing image reconstruction by using the confused privacy part and the original non-privacy part; sampling encryption of compressed sensing is carried out on the reconstructed image, a compressed sensing ciphertext is generated, corresponding watermark matrixes and watermark embedding matrixes are generated for different privacy parts according to a confusion matrix, the watermark embedding matrixes and the watermark matrixes are embedded into the compressed sensing ciphertext, and encryption of the compressed sensing ciphertext is achieved; and users with different levels of keys are utilized to decode and reconstruct different parts of images of the encrypted compressed sensing ciphertext, so that privacy protection of multi-position overlapped images is realized.

The invention provides an optical waveguide device and AR glasses, and relates to the technical field of augmented reality, the optical waveguide device comprises an optical machine, a first optical waveguide and a second optical waveguide, the first optical waveguide is provided with a first input area and a first output area, and the second optical waveguide is provided with a second input area and a second output area; the ray machine is arranged corresponding to the first input area, and the second input area is arranged corresponding to the first output area; the first input area and the first output area are respectively provided with gratings, and the second output area is provided with a spectroscope array; light emitted by the ray machine is coupled into the first optical waveguide through the first input area, is coupled into the second input area of the second optical waveguide through the first output area after being propagated in the first optical waveguide, and is coupled out through the second output area after being propagated through the second optical waveguide to form an image. The phenomenon of outward light leakage is effectively reduced or even eliminated, and user privacy leakage is avoided.

The invention provides a password leakage detection method and system based on fully homomorphic encryption, and the method comprises the steps: obtaining and storing public user names in an external network and a database, and suspected password data corresponding to the user names, and obtaining a leakage database; acquiring ciphertext data sent by a user side, wherein the ciphertext data comprises a user name of a user and encrypted data after the user performs fully homomorphic encryption on a real password of the user; screening a plurality of corresponding suspected password data in a leakage database according to a user name in the ciphertext data; and taking the suspected password data as an index, performing homomorphic matching calculation on the suspected password data and the encrypted data, performing integration calculation to obtain a ciphertext matching result, and sending the ciphertext matching result to the user side, so that the user side performs fully homomorphic decryption on the ciphertext matching result, and judges whether a real password is leaked or not according to a decryption result. Whether the real password is leaked or not can be effectively checked under the condition that the real password of the user is not leaked.

The invention relates to a block chain and proxy re-encryption-based outbound data sampling inspection supervision method. The method comprises the steps of generating a first public and private key pair of a data outbound enterprise and a second public and private key pair of a supervisor according to public parameters; encrypting the plaintext data by using the first public and private key pair; carrying out sampling inspection on the first ciphertext obtained by encryption to obtain a second ciphertext, and sending sampling inspection information obtained according to the second ciphertext to the block chain node; after the re-encryption key passes verification, the block chain node re-encrypts the second ciphertext by using the generated re-encryption key; decrypting the obtained third ciphertext to obtain plaintext data; and checking the plaintext data by using the declaration record, and uploading an obtained spot check result to the block chain node. According to the method, the risk of large-scale privacy disclosure is avoided, the supervision efficiency and the supervision effectiveness and reliability are improved, spot check information can be provided as evidence, the transparency of a supervision process is improved, and the trust between an enterprise and a supervision department is enhanced.

The invention relates to a video data protection method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of generating a verification instruction for a to-be-received user, and sending the verification instruction to a verification platform; sending a video playing request of a to-be-received user to the video monitoring system, and sending a verification request to the verification platform; sending a verification instruction to the to-be-received user to obtain a verification result; and when the verification result is successful, sending the video stream of the video transmission platform to the user to receive the video stream. In combination with a dynamic verification instruction generated based on user network channel information and a verification action, it is ensured that only a target user authorized by a main user can pass verification and obtain a video stream, a to-be-received user is limited to share a video link for the second time, it is ensured that the sharing range is completely controlled by the main user, and the risks of video diffusion and sensitive data abuse are avoided.

The invention relates to the technical field of artificial intelligence, and particularly discloses a data circulation method for communicating multiple RAG systems, comprising: sending a user question to an RAG system, so that the RAG system can determine a corresponding dynamic description content; reasoning according to the dynamic description content and the historical dialogue to judge whether the RAG system needs to be called to answer the user question; when the RAG system needs to be called, splitting the user question into a plurality of sub-questions according to the user question and the dynamic description content, and sequentially calling the RAG system corresponding to the plurality of sub-questions to obtain a corresponding answer result; and when the user question can be replied according to the answer result, returning the answer result to the user side. According to the method, data elements can be circulated in a cross-department, cross-mechanism and cross-field manner under the condition that an original single RAG system is not damaged, and the data elements are mutually combined on the premise of protecting privacy security, so that a new value is generated.

The invention discloses a business collaborative scheduling method and device suitable for a decentralized multi-cluster Internet of Things, and belongs to the technical field of Internet of Things scheduling, and the method comprises the steps: deploying an algorithm in a control management scheduling function module on a cluster head node of each cluster of the multi-cluster Internet of Things, and the control management scheduling function module on each cluster head node calls an algorithm to complete an online processing process among a plurality of service requests so as to deploy the dynamically arrived service requests. The method can effectively prevent privacy leakage, and has the advantage of high deployment speed.

The invention provides an intelligent inquiry method and device, electronic equipment and a storage medium, and the intelligent inquiry method comprises the steps: obtaining model mapping parameters according to user body feature data, mapping the model mapping parameters to a basic three-dimensional body model, and obtaining a user three-dimensional model; binding the user disease model with the first user three-dimensional model to obtain a second three-dimensional model; extracting inquiry keywords of the user inquiry data to generate a doctor model; performing a first inquiry dialogue between the doctor model and the second three-dimensional model through the interactive interface, extracting a symptom description of the user according to the first inquiry dialogue through the language recognition model, and updating the second three-dimensional model to obtain a third three-dimensional model; and performing a second inquiry dialogue between the doctor model and the third three-dimensional model through the interactive interface, and performing inquiry processing according to the second inquiry dialogue through the language recognition model to obtain an inquiry result. The method has the beneficial effects that privacy leakage during inquiry of the user is avoided, and the inquiry efficiency is improved.

The invention provides a computing system and method for improving artificial intelligence code and data security, and belongs to the technical field of information security. The system comprises a user computer and a service computer which are connected through the Internet, one or more secret room computing safety devices are arranged on a host of the service computer; the user computer is used for initiating artificial intelligence calculation, and providing an encrypted artificial intelligence calculation code, a corresponding digital signature, encrypted user data required by calculation and a corresponding digital signature for the service computer through the Internet; and the service computer decrypts the artificial intelligence calculation code and the user data by using the secret room calculation security device, performs digital signature verification, completes corresponding calculation, performs digital signature on a calculation result, encrypts the calculation result, and returns the calculation result to the user computer through the Internet. The method has the advantages of high safety, high efficiency, high universality and high compatibility, and artificial intelligence calculation codes and calculation results can be effectively protected.

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.

The utility model belongs to the technical field of examination beds, and particularly discloses a privacy protection examination bed which comprises an examination bed body, and a bed head frame and a bed tail frame are arranged at the two ends of the examination bed body respectively. The bed head frame comprises a bed head plate and a bed head backup plate which are arranged at the bed head end of the examination bed body, a position-adjustable protection structure is arranged between the bed head plate and the bed head backup plate, the protection structure comprises a pair of protection frames in clearance fit with the bed head backup plate, and the protection frames are connected through a folding protection cover; the protective structure is arranged to shield a patient on the examination couch body, the purpose of protecting privacy of the patient is achieved, the protective structure achieves the shielding function through cooperation of the foldable protective cover and the protective frame with the adjustable position, the protective frame is moved according to needs of the patient during use, different parts of the patient can be conveniently shielded, and use is convenient. The folding protective cover is opened according to the needs of the patient, so that the to-be-shielded part of the patient is perfectly covered, the privacy of the patient is effectively improved, and the problem of privacy leakage during examination of the patient is prevented.

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.

The utility model belongs to the technical field of automobile parts, and discloses an automobile rear partition plate device which comprises a fixed beam, a movable beam, a storage plate, a pull rod and a shielding layer, the width size of the fixed beam is matched with that of an automobile trunk so that the fixed beam can be erected on the trunk, and the movable beam is arranged on the storage plate. One end of the storage plate is rolled in the fixed beam, the other end of the storage plate is fixedly connected with the movable beam, the movable beam is horizontally pulled to pull the storage plate out of the fixed beam so that goods can be placed on the storage plate, one end of the shielding layer is rolled in the movable beam, the other end of the shielding layer is fixedly connected with the drawing rod, and the drawing rod is fixedly connected with the storage plate. According to the technical scheme, the shielding layer can be pulled out of the movable beam by vertically pulling the pull rod so that the shielding layer can shield cargos, the cargos in the trunk can be shielded, and the situation that others pry the cargos in the trunk through glass of the trunk, and consequently the privacy of a car owner is leaked is prevented.

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.

The invention discloses intelligent interactive psychological health consultation service equipment, and relates to the technical field of psychological consultation service, the equipment comprises a machine body, a psychological health consultation machine is fixedly connected in the machine body, a storage groove is formed in one side of the machine body and located below the psychological health consultation machine, and a rotating pipe is rotatably connected in the storage groove; the outer side of the rotating pipe is fixedly connected with a base, the bottom of an inner cavity of the base is fixedly connected with an air bag frame, the intelligent interactive psychological health consultation service equipment is provided with a storage groove, the base and a top plate, the equipment can provide a private space for a user during psychological health consultation, the privacy of the user is prevented from being leaked, and the practicability of the equipment is improved. And meanwhile, the occupied space of the equipment when the equipment is not used is reduced, the equipment can be put in places with relatively large pedestrian flow, such as shopping malls or office buildings, when the equipment is not used, passing of people is not influenced, and when the equipment is used, private space can be provided for users.

The invention provides a model training method and device, an advertisement putting processing method and device, a computer program product and electronic equipment, and relates to the technical field of computers. The model training method comprises the steps of performing anonymization processing on an original data set to obtain an anonymous data set, and determining an initial feature set according to the anonymous data set; evaluating the importance of the features in the initial feature set to obtain an importance evaluation result; random noise is added to the importance evaluation result, and a feature subset is determined from the initial feature set according to the importance evaluation result added with the random noise; and training the advertisement putting model based on the feature subset to obtain a trained advertisement putting model. According to the invention, the accuracy of the advertisement putting model can be improved under the condition of ensuring the safety of user data.

The invention discloses a vector retrieval method and device, a medium, electronic equipment and a program product. The method comprises the steps of obtaining a to-be-retrieved target vector and a target key, wherein the target key comprises a target random number and a target orthogonal matrix; performing linear transformation on the target vector by using the target random number; performing rotation operation on a target vector obtained after linear transformation by using the target orthogonal matrix to obtain a first ciphertext vector; and sending the first ciphertext vector to a first server, so that the first server retrieves at least one second ciphertext vector similar to the first ciphertext vector from a knowledge vector library, the ciphertext vector in the knowledge vector library is generated based on the target key and the reference vector, and the generation mode is the same as the generation mode of the first ciphertext vector. Therefore, the information of the original plaintext vector can be masked from the transverse direction and the longitudinal direction, so that the vec2text attack in a language model service scene can be resisted on the premise of supporting vector retrieval, and user privacy leakage is avoided.

The utility model discloses a self-service payment and printing all-in-one device which comprises a machine box, the inner side of the machine box is connected with a shielding plate in a sliding mode, the bottom of the shielding plate is fixedly connected with a payment and printing all-in-one machine, the bottom of the payment and printing all-in-one machine is fixedly connected with an electric push rod, and the outer side of the bottom of the electric push rod is fixedly connected with the machine box. An electric push rod is fixedly connected to one side of the top of the machine box, a control button is fixedly connected to one side of the top of the machine box and electrically connected with the electric push rod, a base is fixedly connected to the bottom of the machine box, and a motor is fixedly connected to the inner side of the base. The privacy of a user is effectively protected and prevented from being leaked, when the equipment needs to be moved, a motor is started, a screw rod rotates clockwise to drive a fixing plate to move downwards, pulleys make contact with the ground, the whole equipment is supported, and the user can effectively and conveniently move the equipment.

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.