61results about How to "Achieve desensitization" patented technology

The invention relates to the technical field of computers, in particular to a data query method and device, and the method comprises the steps: receiving a first query request sent by a client, the first query request at least comprising a previous preset number of bits of a first Hash value obtained after the client performs Hash operation on target query data, and calling a preset k-anonymous algorithm for obtaining hash values of the query results conforming to the previous preset number of bits on the basis of pre-stored mapping relationships between the data and the hash values; and according to the obtained Hash values, performing query from a preset database, and returning k query results to the client, so that the client obtains a query result corresponding to the first Hash valuefrom the k query results. In this way, data query desensitization protection is realized based on the k-anonymous algorithm, and a server cannot determine a target query result in k query results, sothat the target query data cannot be leaked even if the target query data does not exist in a database, and the security is improved.

The invention discloses a data processing method. The method comprises the following steps: obtaining to-be-processed data needing to be subjected to data desensitization; scanning the to-be-processeddata, and identifying the data type of the to-be-processed data; inquiring a preset desensitization rule corresponding to the data type from a preset first corresponding relation between the preset data type and the desensitization rule; and desensitizing the to-be-processed data by using the preset desensitization rule to obtain desensitized data. The invention further provides a data processingdevice, a server and a storage medium. The problem of data desensitization is solved, the data desensitization efficiency is improved, and meanwhile based on the intelligent desensitization configuration platform, all-around sensitive data management can be achieved.

The invention aims at providing a data processing method and system. A RDP protocol is introduced, and the RDP protocol serves as an agency service device. The data processing method comprises the steps of obtaining operation data of a user device by a user from the user device terminal through the RDP protocol and forwarding the operation data to a network device; receiving RDP data returned by the network device based on the operation data, parsing and identifying the RDP data, and obtaining text data corresponding to the RDP data; and determining whether the text data belong to preset sensitive data, if so, performing corresponding masking operation on the text data, and obtaining the masking data corresponding to the text data. Masking of the RDP data is achieved through the RDP protocol, safety control of data transmission is solved, the user can operate, maintain and manage the device conveniently, and furthermore management efficiency of data masking management is improved.

The invention provides a message reminding method and device and a scene type recognition method and device, and relates to the technical field of communications. The message reminding method comprises the steps: performing word segmentation on a to-be-processed message to obtain a plurality of segmented words, and determining a weight value and a hash value of each segmented word; determining index information of the to-be-processed message based on the weight value and the hash value of each segmented word; identifying a scene type by using a model based on the index information of the to-be-processed message so as to determine the scene type of the to-be-processed message; and executing a reminding action according to the scene type identification result of the to-be-processed message.According to the invention, leakage of the message plaintext can be avoided while the message concerned by the user is identified.

The invention discloses a data desensitization method and device, a storage medium and a terminal, and the method comprises the steps: obtaining to-be-desensitized data, the to-be-desensitized data being a mobile phone number; splitting the mobile phone number into first character data and second character data, the first character data being characters indicating an operator and a home location of the mobile phone number, and the second character data being remaining characters of the mobile phone number; determining an operator and a home location of the mobile phone number according to thefirst character data; and splicing the operator and the attribution of the mobile phone number with the second character data to form a desensitized mobile phone number. According to the technical scheme, data desensitization is achieved, and meanwhile the statistical characteristics of the data are reserved.

The invention relates to information communication and aims at providing a formatted data desensitization high-security coding and decoding method. The formatted data desensitization high-security coding and decoding method comprises a coding process and a decoding process. The coding process comprises the steps of packaging input data, generating a coding matrix, importing a bias term as a key and generating a coding output array. The decoding process comprises the steps of obtaining the number of samples in an input data group, obtaining coded data and key, exporting the coding matrix and restoring the input data. According to the method, a method of randomly generating the key is imported into traditional formatted data coding and decoding processes, the desensitization of formatted data is realized, and the randomness and security of the coding and decoding processes are improved. According to the method, a random key mechanism is employed, moreover, the traceability of the data isensured, and the method can be applied to the formatted data desensitization coding and decoding processes in the fields such as an ICT.

The invention discloses a public security view desensitization test data generation method and system and a storage medium, and the method comprises the steps: employing a non-sensitive human face view sample to desensitize a sensitive object human face view through a deep learning-based sample camouflage method, reserving the recognition features of a real view, and camouflaging the real view asa non-sensitive human face view; different from traditional encryption, content removal and other desensitization technologies, the scheme provided by the invention has the advantages that recognitionfeatures of partial attention in the original (human) face image are reserved, and the face data of the non-attention area is replaced with the face data of the public sample by utilizing the deep neural network, so that high-simulation view data desensitization is realized. By utilizing the scheme, the desensitization test data can be quickly generated in batches, the data can be shared and transmitted in batches on the premise of not losing the application value, and the leakage of key sensitive data can be effectively prevented. The invention can be widely applied to public safety test data generation and police artificial intelligence remote auxiliary systems.

The invention relates to the technical field of data processing, and provides a data desensitization method, a data desensitization device, a computer readable storage medium and electronic equipment.The method comprises the following steps: determining a plurality of to-be-desensitized data from source data; for any target to-be-desensitized data, obtaining a target character corresponding to the desensitized target to-be-desensitized data; matching the target to-be-desensitized data with the source data to obtain the positions of the to-be-desensitized data in the source data in parallel toobtain a target position set corresponding to the target to-be-desensitized data; and replacing data corresponding to the target position set in the source data with the target character to desensitize the target to-be-desensitized data. According to the scheme, the problem of long marking desensitization time under a large data volume can be effectively solved, the data desensitization throughput is improved, and the data desensitization efficiency is further improved.

The invention discloses a dynamic desensitization method based on a database drive agent. The method comprises the following steps: obtaining an SQL request of a user; acquiring a WEB user name, a user IP, a corresponding database IP and a corresponding database name according to the SQL request of the user; according to the WEB user name, the user IP and the corresponding database IP and databasename, obtaining SQL content in the corresponding database; analyzing the SQL content to obtain a table and a field; setting a desensitization rule; and according to the desensitization rule, recombining the WEB user name, the user IP, the database IP, the database name, the table and the field, and generating and sending a new SQL statement. The invention further discloses a dynamic desensitization system based on the database drive agent. On the premise of ensuring that the user uses the transparent application program, no extra equipment needs to be added, and the effects of database user desensitization and application program user desensitization can be achieved according to different configuration desensitization rules.

The invention discloses a voice data processing method. The method comprises the following steps: performing biological characteristic processing on voice data to obtain first desensitized voice data; performing voice recognition processing on the first desensitized voice data to obtain first desensitized recognition text content; determining sensitive text content in the first desensitized recognition text content according to a preset desensitization rule; performing desensitization processing on the sensitive text content; and generating second desensitized voice data at least according to the desensitization processing result. According to the embodiment of the invention, biological characteristic processing is carried out on the voice data, so that the biological characteristic privacy of the speaker is desensitized. First desensitized voice data is recognized as first desensitized recognition text content, then sensitive text content is detected according to a preset desensitization rule for desensitization processing, and finally desensitized voice data is generated based on a desensitization processing result. Therefore, the personal private information of the speaker is not exposed when the desensitized voice data is utilized, and the information security of the speaker is realized.

The embodiment of the invention discloses a method and device for desensitizing a document image, electronic equipment and a computer readable storage medium, and relates to the technical field of computer vision, deep learning and cloud computing. A specific embodiment of the method comprises the steps of obtaining a to-be-processed document image; determining a regional image with text featuresin the to-be-processed document image by utilizing a LOMO algorithm, and identifying text contents corresponding to the text features in the regional image by utilizing a CRNN model; and performing desensitization processing on the target sensitive information corresponding to the preset desensitization requirement in the text content to obtain a desensitized document image. According to the embodiment, the data representation form which can be processed by the desensitization processing is expanded, so that the document image which does not directly contain the text information can be desensitized well, and the LOMO algorithm and the CRNN model are used, so that the recognition accuracy is also improved.

The invention provides honey and pollen cream and a preparation process thereof, and belongs to the technical field of health-care foods. The honey pollen cream is prepared by mixing pollen and honeyaccording to a ratio of 1: 1.3, and carrying out reduced pressure distillation and concentration, wherein the pollen is desensitized with edible alcohol after being subjected to wall-breaking grinding. The preparation process of the honey pollen cream comprises the following steps of removing impurities from the pollen, performing wall-breaking grinding on the pollen by using a colloid mill to form the powder, and soaking the treated pollen in the edible alcohol; carrying out reduced pressure distillation operation, and recovering the edible alcohol; mixing the pollen after recovery of the edible alcohol and the honey according to the ratio of 1: 1.3 until the pollen and the honey are uniformly dissolved; carrying out reduced pressure distillation on a semi-finished product again, and performing concentration operation to obtain a finished product with the water content of 10-15%; and packaging the finished product. According to the honey and pollen cream prepared by the method, the nutritional values of the honey and the pollen are fully extracted, so that the nutritional value is high; and the pollen is desensitized, so that the edible safety is greatly improved and the storage time is long.

The invention provides a data desensitization method and device, a storage medium and an electronic device, and the method comprises the steps of disorganizing a first watermark identifier by using a first random number, and obtaining a second watermark identifier; performing first operation on a first numerical value in the second watermark identifier and an (m-n) th numerical value in the first data to obtain a processed (m-n + 1) th numerical value corresponding to the first data; sequentially performing first operation on the ith numerical value in the second watermark identifier and the processed (m-n + i-1) th numerical value corresponding to the first data to obtain the processed (m-n + i) th numerical value corresponding to the first data; combining the first numerical value to the (m-n) th numerical value in the first data and the processed (m-n + 1) th numerical value to the mth numerical value corresponding to the first data to obtain second data; and performing second operation on the second random number and the second data to obtain desensitized data. Through the invention, the technical problem of relatively low data security in related technologies is solved.

The invention relates to a data desensitization method and system based on power grid data acquisition. The method comprises the following steps: acquiring multi-dimensional power data and identifying sensitive data in the multi-dimensional power data; drawing a frequency histogram according to the frequency of each data item of each sensitive data, and fitting a first distribution curve according to the frequency histogram; using the trained generative adversarial neural network to generate a second distribution curve, wherein the distribution distance between the second distribution curve and the first distribution curve is less than a threshold value; and returning sensitive data in an external request of the multi-dimensional data according to the second distribution curve and Laplacian noise. According to the method, approximate distribution of sensitive data is dynamically generated through the generative adversarial neural network, desensitization of data with different sensitivities is realized in combination with Laplacian noise, and the requirements of different data application scenes are met.

The invention discloses a computer vision processing server structure based on a neural network, comprising a parent server and a plurality of child servers. Each child server is attached to the parent server at the same time. Each sub-server is provided with a neural network, and each sub-server performs preprocessing through its own neural network at the same time. The parent server further processes the preprocessed image data to form the computer vision processing data. The invention discloses a computer vision processing server structure based on a neural network. Firstly, a sub-server preprocesses pictures or videos requiring computer vision processing, thereby extracting image features, realizing data desensitization and avoiding privacy leakage problem. Then the parent server processes the pre-processed image data in depth, so that the server architecture can achieve load balance as far as possible, reach the balance point, and realize the maximum utilization of each server 'sresources.

The invention discloses a desensitization tool for a technological parameter curve graph, and relates to the technical field of information. The invention is composed of a picture input module, an image denoising module, an image binary matrix conversion module, a curve scanning module, a threshold setting module, a curve slicing module, a curve center scanner, a curve correction module and an image merging module. According to the invention, the problem that the original trend of the process parameter curve cannot be effectively reserved by adopting cutting, shielding, smearing and other desensitization methods in the past can be solved, and the service requirement of curve sensitive information desensitization can be met. The tool well adapts to desensitization of various industrial curve sample pictures through the threshold value setting module, the semi-automatic adjustment desensitization effect of the module can be achieved through threshold value setting parameters, and desensitization processing of continuous process curve pictures is achieved under the condition that a process parameter generation system is not changed.