38 results about "Hidden data" patented technology

The invention relates to a hidden data center intelligent identification method based on multi-scale time sequence feature fusion. The method comprises the following steps: S1, obtaining time sequence data of a to-be-detected area and preprocessing the time sequence data; s2, based on the preprocessed time sequence tensor, an initial graph structure is established on the layers of an entity and an observation point, an edge weight is calibrated and sparsified through a data-driven adaptive graph learning mechanism, multiple time delay path sets between node pairs are learned, and optimized dynamic adjacency and time delay weights are obtained; s3, constructing a hidden data center intelligent identification model in combination with an ST-GNN model; s4, training the hidden data center intelligent identification model to obtain a trained hidden data center intelligent identification model; s5, acquiring a real-time detection probability and a confidence interval according to the real-time data stream; and S6, selecting an initial alarm threshold value through the cost sensitive curve, carrying out adaptive fine tuning, and obtaining a final alarm list according to the real-time detection probability. The method effectively improves the intelligent recognition efficiency of the hidden data center.

This application provides an image processing method and an electronic device, relating to the field of terminal technology. The technical solution provided by this application can effectively avoid the problem of image detail loss and reduced image quality caused by encoding processing of transmitted images during image transmission. The method can be applied to a first device, and includes: in response to a trigger operation to send an original image, acquiring a first image, the first image including hidden data, the hidden data being used to identify the storage path information of the original image in a first cloud server; and sending the first image.

The application provides a holographic image anti-counterfeiting pattern laser processing method, a storage medium and a product, a polarization angle sequence is determined through spectrum processing, a neural network is used to optimize microstructure arrangement, an encoding matrix is generated, hidden data is integrated to improve information dimension, then simulation calculation and iterative updating are used to enhance the anti-counterfeiting effect of the encoding matrix, resistance characteristics are extracted and robustness is verified, finally, material surface writing is guided to form a holographic image anti-counterfeiting pattern, and finally, a multi-dimensional verification protocol is combined to ensure the stability of the polarization response in different environments. The application significantly improves the cracking resistance and environmental adaptability of the anti-counterfeiting pattern through the deep combination of the polarization angle and the microstructure optimization.

The present disclosure relates to hiding data trends in a machine-to-machine (M2M) system. A method for operating a first device in a machine-to-machine (M2M) system may include: performing a registration procedure for a second device; receiving real data generated by the second device; obtaining fake data of an identical type as the real data; and storing the real data and the fake data in a same resource.

The application belongs to the field of medical prediction, and discloses an information mining method for heterogeneous time series data, comprising: acquiring electronic medical record data and constructing a hypergraph, analyzing and calculating the hypergraph to obtain embedding representation data, weighting the embedding representation data based on an attention mechanism to obtain embedding sequence data, constructing a sequence learning model and performing hidden state access to obtain hidden representation data and weight data thereof, weighting the embedding sequence data to obtain embedding sequence hidden data; training the sequence learning model through time training parameter data, weighting the embedding sequence hidden data through the trained sequence learning model to obtain time dimension hidden data, constructing a full connection network to analyze the time dimension hidden data to obtain medical event prediction data. The technical scheme disclosed by the application can learn complex information in the time dimension by using time step information, and can obtain accurate medical event prediction results.

The invention discloses a tamper-proof electronic scale monitoring method and system based on an electronic lead seal and a gravity sensor, and relates to the technical field of equipment tamper-proof, and the method comprises the steps: basic monitoring: an electronic lead seal module detects the opening and closing state of an electronic scale housing in real time and outputs a state signal; the gravity sensor module acquires weighing data and space state parameters of the electronic scale in real time and outputs acquisition signals, and the operation log module synchronously records weighing operation information; through cooperative operation of electronic lead sealing monitoring, gravity sensing detection and time sequence data analysis, the electronic lead sealing module can be used for monitoring the opening and closing state of the electronic scale shell, and weighing data and space state parameters can be collected through the gravity sensor module; and meanwhile, abnormity identification is carried out by combining a weighing data fluctuation model and a weighing interval model constructed by a time sequence analysis module, so that physical tampering and hidden data tampering behaviors of the electronic scale can be identified at the same time.

The present invention relates to a method for encoding accessible and hidden data in the form of a machine-readable visual code. The visual code comprises a number X of graphic units UG(1), …UG(X) respectively positioned at positions P(1), …P(X) of the visual code, each graphic unit UG(i) having a graphic value VG(i). The method comprises: obtaining the values ​​v(1), …v(X) obtained by encoding the accessible data using a first type of encoding; determining ⌊X.λ⌋ positions P(a1), P(a2)….P(a⌊X.λ⌋) from among the positions P(1), …P(X); and encoding the hidden data into a number ⌊X.λ⌋ of values ​​v'(1), …v'(⌊X.λ⌋) obtained using a second type of encoding. encoding; Obtaining the visual code in which: VG(i) is representative of v(i) if P(i) is not one of the positions P(a1), P(a2)….P(a⌊ X.λ ⌋), VG(i) is representative of v'(j) if P(i) is the position P(aj). Figure for the abbreviation: Fig. 5

The invention discloses a data encryption hiding, extraction and decryption method, and the data encryption hiding method comprises the steps: obtaining to-be-encrypted data according to the to-be-hidden data; wherein the to-be-encrypted data is formed by splicing a file information header and the to-be-hidden data; encrypting the data to be encrypted to obtain ciphertext data; obtaining encrypted data according to the ciphertext data; wherein the encrypted data is formed by splicing an encryption information header and the ciphertext data; obtaining an embedded information header, and splicing the embedded information header with the encrypted data to obtain to-be-embedded data; embedding the to-be-embedded data into a carrier image to obtain a secret-containing carrier image; the data extraction and decryption method comprises the following steps: extracting encrypted carrier data from an encrypted carrier image, and carrying out hierarchical analysis and decryption on the data to obtain decrypted data. The method has a safe and efficient embedding and extracting process, and the sensitive information is protected through the combination of encryption and steganography.

This invention relates to a method for intelligent identification of hidden data centers based on multi-scale temporal feature fusion, comprising the following steps: S1: acquiring and preprocessing temporal data of the region to be detected; S2: establishing an initial graph structure at the entity and observation point levels based on the preprocessed temporal tensor, and calibrating and sparsifying the edge weights through a data-driven adaptive graph learning mechanism, learning the set of multiple time-delay paths between node pairs to obtain optimized dynamic adjacency and time-delay weights; S3: constructing an intelligent identification model for hidden data centers by combining an ST-GNN model; S4: training the intelligent identification model for hidden data centers to obtain the trained model; S5: obtaining the real-time detection probability and confidence interval based on the real-time data stream; S6: selecting an initial alarm threshold through a cost-sensitive curve, performing adaptive fine-tuning, and obtaining the final alarm list based on the real-time detection probability. This invention effectively improves the efficiency of intelligent identification of hidden data centers.

The invention belongs to the technical field of virtual agents, and discloses a virtual agent driven hidden data collection method and system, and the method comprises the steps: constructing a virtual agent with environment perception and autonomous decision-making capabilities, and combining the association mapping of the virtual agent and an entity agent to achieve the intelligent driving of data collection; the method comprises the following steps: dynamically obtaining a burying point position and mode based on environment perception and target analysis, fusing multi-modal burying point data through a four-dimensional data model, and cooperatively collecting through a heterogeneous intelligent agent to form a unified data view, so as to enhance the integrity and consistency of data; according to the method, efficient, accurate and safe hidden data collection and integration are achieved, data values are fully mined, and the method is suitable for multi-scene data collection requirements.

The invention provides a writing method and a reading method for hiding data in a memory device and the memory device. The memory device can be a three-dimensional NAND flash memory with high capacity and high performance. The writing method comprises the steps that a memory block is provided, each memory unit comprises an erase state and a plurality of potential states, and each potential state comprises a first sub-potential state and a second sub-potential state; performing a first program operation to move a threshold voltage of a first portion in the particular page to a first sub-potential state; and performing a second program operation to move a threshold voltage of a second portion in the particular page to a second sub-potential state. The first program operation includes: applying a first pass voltage to a first word line of a first page, wherein the first page is adjacent to one side of a particular page; and applying a second pass voltage to a second word line of a second page, where the second page is adjacent to the other side of the particular page.

The invention discloses an offline encryption security framework with a pluggable function and a management and control method, and relates to the technical field of computer security and document processing. According to the framework, an encrypted USB flash disk serves as a hardware carrier, five modules including function management, safety control, document typesetting, a safety box and tamper-proof logs are integrated, the whole process runs in an off-line mode, and data are only stored in the USB flash disk; the function management module supports dynamic addition / removal of offline. Exe programs and creates a hidden data isolation folder for each program; the security management and control module adopts an SHA256 salted Hash storage hierarchical password, and automatically clears local operation traces when the security management and control module is closed; the official document typesetting module realizes standardization of a. Docx file title / text format, and the typeset file is stored in an exclusive isolation folder; the safe case module only allows files to be imported from the folder, and AES-256 encryption storage is adopted; the anti-tampering log module guarantees the integrity of logs through a hash chain, and adapts to secret-related office scenes such as party and government organizations.

The application relates to a display and control method of nodes based on IRC protocol control symbols, wherein a first data packet header indicating an opening message is set based on an IRC protocol 'color' control symbol; a second data packet header indicating a closing message is set based on an IRC protocol 'color' control symbol; a data section containing message information is generated according to the first data packet header and the second data packet header, and is sent to a user. The color and font control symbols in the existing IRC protocol are taken as the basis, the existing control symbols are rearranged, the information to be additionally expressed is contained in the arrangement, compatibility is considered, and a data packet header which does not affect the color, font and meaning of the existing message is generated. A 'hidden' data section containing information is generated, and is read and displayed by a special client.

To provide high-level entertainment and components of interest in an amusement park.SOLUTION: There is provided an interactive platform for controlling interactive features in an amusement park, wherein the interactive platform includes a control center that receives an account request from a user computer system, populates forward facing data fields based on user inputs from the user computer system, coordinates authentication of the account request with a separate system configured to utilize a login application programming interface to share authentication data, receives the authentication data from the separate system, provides access to a user account based on the authentication data, and populates hidden data fields of the control center based on user data provided by the separate system.SELECTED DRAWING: Figure 1

In order to prevent semantic data leakage, one or more semantic interpretations of an input text are obtained using a generative pre-trained translator (GPT), where the GPT is to interpret the input text with reference to a target context; and determining whether the input text includes hidden data leaks by checking the semantic interpretation of the input text using a data leak prevention (DLP) system, where the DLP system is used to detect data leaks based on a set of words and phrases of interest. Accordingly, it is possible to prevent hidden data leakage when sensitive information is hidden in text (e.g., by a high-level language technology).

The invention belongs to the technical field of data protection, and discloses an internet-based e-commerce data processing device, which comprises a casing assembly, a data processing assembly is fixedly arranged in the casing assembly, and an inner protective shell assembly for protecting a body and hiding a data reading interface is arranged on the periphery of the data processing assembly. And the periphery of the inner protective shell assembly is provided with an outer protective shell assembly which is used for carrying out secondary protection on the body of the data processing assembly and carrying out secondary hiding on the data reading interface. On one hand, double-layer dislocation type hidden protection is achieved when the core disk data reading groove is locked, on the other hand, dislocation rotation exposure is achieved when the core disk data reading groove is unlocked, dislocation rotation clamping and disengagement prevention are achieved when the core disk data reading groove is unlocked, and therefore the using safety of the data processing assembly and the reliability and stability of data connection and data reading are guaranteed.

This application provides a key management method and a data access method for data access. Based on the above embodiments, user accounts can access data in associated data containers through a client using a hidden data key. The hidden data key is not persistently stored on the client, and a disguised data key generated using the hidden data key and the user account's private identifier can be stored on the server as a substitute for the hidden data key. Therefore, as long as the user account's private identifier is obtained, the client can use the disguised data key stored on the server to reconstruct the hidden data key and use it to provide security protection for the data. Moreover, when the private identifier is updated, only the disguised data key on the server needs to be changed, without needing to decrypt and re-encrypt the encrypted data, thereby reducing the system burden caused by updates to the private identifier while ensuring data security.

The invention provides an anti-attack protection method for power system data based on double-domain collaborative watermarking. The anti-attack protection method comprises the following steps: preprocessing sensitive data to generate encrypted data, segmenting the encrypted data into frequency domain hidden data and time domain hidden data, and carrying out normalization processing and feature extraction on carrier data; embedding the frequency domain hidden data into the selected hidden frequency component to generate frequency domain hidden carrier data; embedding the time domain hidden data into the selected hidden position sequence to generate time domain hidden carrier data; carrying out collaborative fusion to generate fusion carrier data containing sensitive data; and transmitting the fusion carrier data to a target receiving end, so that the receiving end performs frequency domain data extraction and time domain data extraction on the received fusion carrier data, performs data decoding and fusion processing to recover the sensitive data, and triggers an attack warning when an error occurs in the recovery of the sensitive data. By applying the method, the security and reliability of data hiding can be remarkably improved through a multi-level mechanism of frequency domain hiding, time domain hiding and collaborative verification.

The utility model relates to the technical field of encryption hard disks, and discloses a detachable encryption hard disk for data storage, which comprises an encryption chip and a shell, and further comprises a rotary opening protective cover and a hidden data interface, and the rotary opening protective cover is arranged on one side of the shell; the hidden data interface is arranged on one side of the shell and used for being connected with an external electronic product; and after the rotary opening protective cover is rotationally opened, the hidden data interface is exposed to be connected with an external electronic product for data transmission. According to the detachable encryption hard disk, a screw-free rapid rotation opening dismounting structure, an elastic fixing buckle structure, a hidden storage groove structure and a digital display encryption structure are integrated, so that the encryption hard disk is convenient to use, and a data connection interface can be well hidden; and when not in use, the device can be quickly and neatly stored, so that the balanced design of safety and usability is realized, and the device is suitable for a high-sensitivity data encryption use scene.

The application discloses a non-repudiation storage method and system with multi-snapshot security, and the method comprises the following steps: generating system public parameters according to security parameters; inputting a password of a security deletion system to initialize a first master key; inputting a password of a hidden storage system to initialize a second master key; storing a disk state of a PPRF through a tree structure to generate a first key tree; encrypting and storing encryption keys of all files to generate a first file key table; constructing a storage space of the non-repudiation storage system; writing, updating and deleting common files; and writing, updating and deleting hidden data. The application has multi-snapshot security during normal file changes; the hidden space and the common space can be freely switched; compared with the existing non-repudiation storage system with multi-snapshot security, the capacity can be increased by 50 times at most; and the hidden space is entirely encrypted by using the master key in the TPM module, thereby providing strong guarantee for the security of the hidden space.

The present application relates to the technical field of data security, in particular to a website protection method based on data security, comprising the following steps: according to the website data security request, extracting the identity credential identifier and access timestamp in the access connection, and generating a trace bit set; operating the trace bit set to generate a pseudo-random key bit string. The present application cuts and segments the page text elements according to coordinate items, inserts zero-width character encoding groups at the cutting gap positions to form text steganography payloads, recombines the steganography report values and the text steganography payloads into mixed hidden data streams, so that the text content and the value content jointly carry the trace information; block encoding and packaging the mixed hidden data streams, and attaching the transmission protocol header field and the check sequence information to form a safe transmission payload that can be issued, checked and tracked, thereby improving the source identification ability and the tampering discovery ability of the website data in the display, transmission, copy and abnormal propagation scenarios.

The invention relates to the technical field of data security, in particular to a data leakage detection method, device and equipment and a storage medium, and the method comprises the following steps: analyzing multi-source heterogeneous log data of a target account for a sensitive field, extracting structured behavior data, and constructing a heterogeneous behavior evolution diagram based on the structured behavior data; extracting abnormal evolution diagram structure features based on the heterogeneous behavior evolution diagram; fusing the semantic feature vector representing the long-term behavior feature of the account with the structural feature of the abnormal evolution diagram to generate a current joint behavior representation; mapping the current joint behavior representation to an evolutionary inertia trajectory of the historical joint behavior representation of the target account to obtain an abnormal behavior deviation measure; and performing data leakage risk identification according to the abnormal behavior deviation measurement to obtain a leakage risk detection result. According to the method, effective identification and accurate positioning of low-frequency, long-term and hidden data leakage risks are realized through fusion of behavior semantic features and multi-scale structure evolution analysis.

The invention discloses a privacy data union set method and system, belongs to the technical field of data processing, and solves the problems of conflict between privacy calculation'availability and invisibility 'and evidence obtaining, game hidden data, TEE single-point hidden danger, co-induced ghost alarm, risk blind area, compliance formalization, even panoramic leakage and anti-weakening and anti-money laundering joint prevention efficiency. Comprising the following steps: S1, initializing and generating system parameters, and collaboratively establishing a cryptographic basis and a data exchange standard without a single control point by all participating mechanisms; s2, preprocessing and submitting verifiable data, generating cryptographic guarantee including quality commitment and zero-knowledge proof for local data by each participation mechanism, and uploading encrypted data and corresponding proof; and S3, training and contribution quantification of the auditing federal model. According to the method, cross-mechanism verifiable union set modeling under privacy calculation, hierarchical risk control signal threshold tracing, dynamic reputation excitation closed-loop optimization, privacy commercial secret protection and sustainable and audible financial joint defense building are realized.

The invention relates to the technical field of enterprise operation data processing, in particular to an enterprise behavior deviation detection method and system based on cross report comparison. The method comprises the following steps: acquiring report data from at least two heterogeneous business systems; standardizing the report data to obtain standardized report data; performing multi-version field mapping relation construction on the standardized report data to obtain version field relation data; performing field aperture trajectory processing according to the version field relation data to obtain field aperture trajectory data; performing cross-report similar feature extraction according to the field aperture trajectory data to obtain cross-report similar feature data; performing cross-report association calculation on the report data according to the cross-report similar feature data to obtain cross-report association data; and obtaining enterprise time sequence deviation behavior data according to the cross report association data. According to the method, hidden data deviation can be effectively recognized, and the recognition blind area of a traditional report checking means for the structural mismatching problem is made up.

First data is received which encapsulates second data in a hidden compartment. Thereafter, a password is received by a password encoder which uses such password to generate a key. The first data and the key are combined to generate the second data (i.e., the hidden data). The second data is then provided to a consuming application or process. Related apparatus, systems, techniques and articles are also described.

The invention discloses a communication data leakage detection and protection method combined with deep learning, and relates to the technical field of communication data security, and the method comprises the following steps: step 1) constructing a protocol semantic gene pool, step 2) constructing a semantic gene driven dynamic fingerprint self-verification model, and step 3) constructing an ambiguity self-resolution protection closed loop. According to the method, the problems that in the prior art, hidden data leakage caused by protocol semantic ambiguity cannot be recognized and utilized and protection and communication compatibility cannot be achieved at the same time are solved by utilizing a protocol semantic genetic analysis and semantic gene driven dynamic fingerprint self-verification model and ambiguity self-resolution protection closed loop cooperation technology; the high-efficiency protection effects of precise hidden leakage recognition, safety and compatibility cooperation and technical system self-evolution are achieved, and the safety operation and maintenance cost of an enterprise is reduced.

A method for hiding data in an integrated circuit that includes random-access memory cells and a write circuit for the cells. The write circuit is to selectively (i) activate a cell and apply a first physical parameter to the cell to set the cell into a first state that is identified as first state read under regular conditions, and (ii) activate a cell and apply a second physical parameter to the cell to set the cell into a second state. The second state is identified as first state under regular read condition and is identified as second state under non-regular read conditions. The method includes receiving data to be hidden and activating the write circuit to activate the cell and applying the second physical parameter to the cell depending on the received data.

An interactive platform for controlling interactive features in an amusement park, wherein the interactive platform includes a control center that receives an account request from a user computer system, populates forward facing data fields based on user inputs from the user computer system, coordinates authentication of the account request with a separate system configured to utilize a login application programming interface to share authentication data, receives the authentication data from the separate system, provides access to a user account based on the authentication data, and populates hidden data fields of the control center based on user data provided by the separate system.

A security protection method, apparatus, system and device for a data lake bin and a storage medium are applied to the technical field of data security, and the method applied to a code obfuscation agent layer arranged between an interaction end and a file system layer comprises the following steps: in response to an interaction request initiated by the interaction end, performing user authentication on the interaction end to obtain a user authentication result; if the user authentication result indicates that the authentication is passed, responding to a data operation initiated by the interaction end, and performing anomaly detection on the data operation to obtain an anomaly detection result; when the abnormal detection result is abnormal operation, carrying out secondary authentication on the interaction end to obtain a secondary authentication result; and if the secondary authentication result is that the authentication is passed, executing data operation. According to the method, passive defense is upgraded into active immunization through an intermediate agent and a dual authentication mode based on an abnormal detection result, so that specific logic of data encryption, authentication and the like can be effectively hidden, the system is more difficult to crack and intrude, and better real-time data protection is provided.

The application relates to the field of digital watermark technology and discloses an image processing method and system based on digital watermarking. The method is applied to a vehicle terminal, first check data is generated according to original watermark data, first watermark data is generated according to the original watermark data and the first check data, a to-be-processed image is split into a plurality of first color gamut images, the first watermark data is replaced into a preset data position in any first color gamut image according to a color gamut channel, the first color gamut images are channel-merged, a target watermark image is obtained, at least part of the first watermark data and the target watermark image are sent to a server end, the server end is used for extracting second watermark data from the target watermark image, and watermark data is verified according to a comparison result between at least part of the first watermark data and the second watermark data. Through the above method, watermark data is embedded into an image, the visual quality of the image is maintained, hidden data protection is realized, and the risk of data tampering and damage is effectively prevented.