38results about How to "To achieve the purpose of privacy protection" patented technology

The invention discloses a dynamic verification method of cloud storage data using lattice-based linearly homomorphic signatures. The method comprises data integrity verification including: a public key and a private key of a linearly homomorphic signature algorithm on a lattice are generated, a file is divided into a plurality of data blocks, each data block is signed, the value of a root node is calculated on the basis of a Merkle hash tree, the value of the root node is signed, and the data blocks, signatures of the data blocks and a signature of the root node are sent to a cloud server; IDs of the public key and the file are provided for a third-party audit, which initiates a challenge to the cloud server to verify whether the data blocks changed or not; the cloud server provides corresponding proof for the challenge initiated by the third-party audit; and the third-party audit judges whether the data blocks are complete according to the proof provided by the cloud server and feeds a verification result to a user. The method can resist quantum attacks initiated by quantum computers in the future and support cloud dynamic operation verification while protecting user private information.

The invention is applicable to the technical field of privacy protection, and provides a spectral clustering method based on differential privacy protection. The method includes the steps of pre-processing sample data; calculating a similarity matrix; based on a k-near-value, simplifying the similarity matrix; adding the random noise satisfying Laplace distribution to the similarity matrix; constructing an adjacent matrix and a degree matrix based on the similarity matrix after random noise perturbation; obtaining the Laplace matrix based on adjacency matrix and degree matrix; obtaining the first m large eigenvalues and corresponding eigenvectors of Laplace matrices; normalizing the eigenvector to form eigenmatrix; using k-means clustering method to cluster the feature matrix to get the label of clustering. A spectral clustering algorithm is used to calculate the sample similarity between the sample data as the weight value between the data points, and then differential privacy algorithm is used to add random noise of Laplace distribution to the weight value to interfere with the weight value to achieve the purpose of privacy preservation. The interfered data can not only achieve privacy preservation but also ensure the effectiveness of clustering.

The invention discloses a block level encryption method in cloud storage and a multi-granularity deduplication method, belonging to the technical field of network security. The block level encryption method comprises the steps that a system public parameter is set, a user end calculates a key and encryptes a file, and metadata is calculated; and the user end selects a part of metadata as a deduplication request and sends the request to a server, the server verifies the file ownership of a user according to the request and retrieves a file in a storage list, if the file exists, access is provided directly, otherwise the server asks the user end to upload non-repeat information, the server carries out consistency verification on received data, and the server allows the user end to access the file if the verification is passed. The method is suitable for the cloud storage with security and efficiency of data and aims to safely and reliably carry out deduplication on the user data, and the data storage efficiency is high.

The invention discloses a P2P privacy management method in mobile electronic commerce real-time recommendation. A friend circle is built and an agent of the friend circle is selected; common users of the friend circle send incremental data to the agent in a packed mode, and the agent processes the incremental data anonymously and sends the incremental data to a recommendation server; the recommendation server analyzes incremental data packets, and corresponding recommended commodity sets are obtained and fed back to the agent; the agent receives the recommended commodity sets and distributes the recommended commodity sets to corresponding users. In the recommendation process, incremental data of the users are not processed and accordingly high-precision recommendation can be achieved. Meanwhile, anonymity of user data is achieved, so that a recommendation system cannot distinguish whether one certain incremental data packet corresponds to one certain mobile user. Besides, due to mobility of the mobile users, one certain mobile user may not always be in a certain area or forward the data always through one certain terminal, and accordingly private data of the users are well protected.

The invention relates to the technical field of data security, in particular to a data query method and system, computing equipment and a storage medium. The data query method is applied to the data query system. The data query system comprises a data provider and a data query party. The data query method comprises the steps that a data query party receives a public key sent by a data provider, generates a random number, and blinds data to be queried by adopting the public key and the random number to obtain a blinding result; the data query party sends the blinding result to the data provider and receives a first ciphertext returned by the data provider; the data query party carries out blind removal processing on the first ciphertext, the random number is removed, and a blind-removed second ciphertext is obtained; the data query party locates the target index based on the second ciphertext; and based on the target index, an oblivious transmission protocol is executed, so that the data query party obtains target query data corresponding to the target index returned by the data provider. The data query method can effectively ensure the security of data query.

The invention relates to the field of big data processing, and discloses a big data security privacy protection method based on geometric deformation and a storage medium. The method comprises the following steps: establishing an attribute sensitive set: dividing attributes of data into four sets which represent four sensitive degrees; cleaning data: deleting incomplete data entries, and serializing discrete data to obtain to-be-divided data; dividing data: screening out data corresponding to all attributes in the same sensitive set, and classifying the data into different columns of the samematrix to form a homosensitive data set; carrying out geometric deformation: carrying out corresponding translation, scaling, rotation or similar transformation processing on the homosensitive data set, and recording transformation parameters so as to be used in subsequent inverse transformation processing; and obtaining a final data set, wherein the four data sets after transformation processingare one data set. A concise, efficient and graded data privacy protection method can be provided for release and transmission of mass data, and data restoration can be achieved through geometric deformation inverse transformation.

The invention discloses a multi-chain construction method and system based on a main chain and a sub-chain. The multi-chain construction method based on the main chain and the sub-chain comprises the following steps: submitting a sub-chain transaction request to a main chain through a sub-chain management account; after the main chain approves the request instruction, opening a sub-chain creation permission for the sub-chain management account, and generating a sub-chain ID; enabling a sub-node to obtain the sub-chain ID, generate a sub-chain node creation request according to the sub-chain ID, and send the sub-chain node creation request to the sub-chain management account; after the sub-chain management account approves the sub-chain node creation request, sending a node private key to the sub-node; and enabling the sub-node to configure the node private key to complete sub-chain creation. According to the technical scheme of the invention, the technical problems that a single-chain block chain platform cannot be triangulated, is poor in expandability and is low in operation efficiency in related technologies are solved.

The invention discloses an anonymous recommending method based on a code in a recommending system of associated data. According to the anonymous recommending method, a user is allowed to add long-termand short-term friends to construct a friend circle to consider both long-term and short-term interest of the user; a personalized project code is constructed in the circle, a user characteristic code is generated to be sent to a recommending center, and the recommending center conducts operation based on the characteristic code to obtain synthetic recommending. The technical purpose is to fullyconsider the association relationship of among users and personal interest and hobbies, data is localized in the form of the friend circle to effectively solve the large data amount problem, the friends are allowed to be overlapped to solve the project diversity problem of local, and an effective and accurate recommending list is obtained in the form of the user characteristic code while user privacy information is protected.

The invention provides an image projection privacy protection method and an image projection privacy protection device for a mobile terminal and an Android custom system server. The image projection privacy protection method for the mobile terminal includes: step 1, logging in the Android custom system server; step 2, uploading images in the mobile terminal to an executive image storage catalog, in the Android custom system server, of the mobile terminal; step 3, when projection is required, acquiring image thumbnails stored in the executive image storage catalog of the mobile terminal from the Android custom system server; step 4, sending projection requests to the Android custom system server according to the image thumbnails selected by a user so as to display images corresponding to the image thumbnails selected by the user onto a display terminal. The image projection privacy protection method and the image projection privacy protection device for the mobile terminal have the advantages that access control of different images allowing corresponding users to project is realized, and each user can select any of images which are permitted to be projected by the user, so that privacy protection is realized.

The invention provides a power settlement privacy protection method and device. The method comprises the following steps of: acquiring settlement information of participants in a settlement period; performing power settlement according to a settlement information chain to obtain a plurality of pieces of settlement data; generating a state change zero knowledge proof by using zkRollup, aggregating the plurality of pieces of settlement data, and chaining non-sensitive settlement data and the state change zero knowledge proof, so as to enable other nodes on the settlement chain to verify the state change zero knowledge proof to obtain a state variable of a global participant; and generating and chaining an SNARK zero knowledge proof by using a sensitive field, so as to enable other nodes on the settlement chain to verify the change data of the corresponding participants based on the SNARK zero knowledge proof, and after the participants pass verification, verifying the effective change data of each participant on the chain based on the state change zero knowledge proof. By applying the method, the performance of a power settlement transaction system is improved, and the purpose of privacy protection is achieved.

A clinical integrated treatment device for the digestive system department effectively achieves the purpose of conducting multifunctional treatment on a patient and comprises a bearing frame, a fixed rotating shaft is arranged in the bearing frame, a seat plate is arranged on the upper side of the bearing frame, a power disc is arranged in the bearing frame, an operation box is arranged in the bearing frame, and rotating plates are arranged on the left side and the right side of the operation box. The rotating plates are connected with planetary gears, the fixed rotating shaft is connected with a fixed chain wheel, a connecting chain wheel is arranged on the upper side of the fixed chain wheel, a chain is arranged on the outer side of the fixed chain wheel, a gear ring is arranged in the bearing frame, and a first box cover is arranged on the upper side of the operation box. By means of the design, the function of shielding privacy during treatment of a patient is effectively added, the function of opening the anus of the patient is added, the purpose of automatically conducting medicated bath wiping on the patient is achieved, the purpose of protecting the patient during treatment is achieved, and the function of automatically applying medicine to the anus of the patient is added.

The invention provides a user identity verification method and system, electronic equipment and a storage medium, and can be applied to the field of computers, the field of big data or the field of finance. The method is applied to a privacy computing platform and receives target user information of a target user; respectively acquiring a first target encrypted biological characteristic fragment, a second target encrypted biological characteristic fragment and a third target encrypted biological characteristic fragment corresponding to the target user id from each security node; wherein each encrypted biological characteristic fragment is generated by utilizing the biological characteristic of the corresponding user and the user id; according to the first target encrypted biological characteristic fragment, the second target encrypted biological characteristic fragment, the third target encrypted biological characteristic fragment and the encrypted biological characteristics of the target user, calculating the verification similarity of the target user; if the verification similarity is greater than a preset similarity threshold, determining that the identity verification of the target user is passed; and if the verification similarity is not greater than a preset similarity threshold, determining that the identity verification of the target user is not passed.