51 results about "Image security" patented technology

The invention discloses a digital image tampering detection system driven by an attention mechanism, and belongs to the technical field of image security authentication. In order to solve the problems that an existing method is low in sensitivity to complex tampering traces and insufficient in positioning precision, the system firstly carries out standardized preprocessing on an input image; then multi-scale features are extracted through a deep convolutional neural network; a double-path attention mechanism is innovatively introduced, wherein a space attention module focuses on the space position of a tampering area, and a channel attention module adaptively enhances feature channel response related to tampering operation; the fused and optimized attention features are subjected to up-sampling through a decoder to recover the resolution, and finally a pixel-level tampering positioning mask and image-level tampering probability judgment are synchronously output; according to the method, the detection robustness of fine tampering traces is remarkably improved through an attention-driven mechanism, and an efficient solution is provided for authenticity identification of digital images while the false alarm rate is reduced.

The invention discloses a secure closed-loop circulation and physical output control method and system for an oversized raster image. The method comprises the following steps: a client adaptively calculates fragmentation granularity according to a network state, fragments an image and encrypts and transmits the image; the server performs secondary encryption and distributed storage on the received data; the preview end constructs a multi-resolution hierarchy based on a viewport mapping technology, only extracts visual slices and superposes watermarks, and transmits the visual slices and the watermarks to a client memory for zero-cache rendering; and the printing end constructs a secure channel bound with a hardware fingerprint, carries out streaming decryption on the data, embeds traceability information, and injects a printing drive in real time. According to the method, the problems of unstable GB-level image transmission and unsmooth preview are solved, and high-efficiency circulation and strict protection of design assets are realized through full-process data non-landing streaming control.

The invention discloses an intelligent lighting dynamic operation and maintenance management system and method based on digital twinning, relates to the technical field of public safety monitoring and intelligent analysis, and solves the technical problem of lack of construction of a digital twinning model for outputting an operation and maintenance decision by fusing environment, operation and safety features. Comprising a data acquisition module, a data processing module, a data storage module, a data analysis module and an intelligent lighting digital twinning dynamic operation and maintenance decision module. Environment, operation state and image safety data are collected and transmitted to a cloud database through preprocessing and encryption, then an illumination environment comprehensive influence evaluation value is calculated by analyzing environment data, an operation state comprehensive influence evaluation value is calculated by analyzing operation state data, and an illumination safety comprehensive influence evaluation value is calculated by analyzing image safety data. And finally, constructing a digital twin model based on multiple evaluation values, outputting an operation and maintenance decision result after training, and dynamically adjusting a strategy according to real-time data.

The invention discloses a medical image security management method and system based on a block chain, and the method comprises the steps: obtaining an initial medical image, carrying out the channel division of the initial medical image, and obtaining a plurality of pieces of channel image data; performing encryption processing on the plurality of channel image data to obtain encrypted image data and a verification value, storing the encrypted image data to a plurality of different storage nodes, and transmitting a storage address and the verification value to a preset block chain; generating a dynamic access strategy based on a preset block chain, and when an access request is received, generating an access token corresponding to the access request based on the dynamic access strategy; and generating plaintext watermark data based on target channel image data in the multiple pieces of channel image data, and generating an access result corresponding to the access request based on the plaintext watermark data and the access token. According to the method and the device, the safety, the reliability and the auditing performance of the medical image in the whole process of storage, sharing and use can be remarkably improved.

The invention discloses a high-load image security authentication method based on quantum cryptography and a reembedding matrix. The method comprises the following steps: carrying out preprocessing operation on an original image; constructing a quantum key distribution system, and generating and distributing a shared key and a derived key; selecting an index unit by using the derived key, and constructing a reembedding matrix; constructing a quantum hash model, mapping image blocks in an original image, and generating an index record table, an address mapping table, a reverse mapping table and a tag table; constructing detection information and recovery information; according to the derived key, disturbing the embedded data through modular lattice operation, and embedding the disturbed bit stream into the original image to generate a watermark image; after the receiver obtains the image to be authenticated, the shared key is reconstructed, a derived key is generated, and a tampering detection result image is detected and generated; and performing self-recovery on the tampered region to generate a self-recovered image. According to the method, information theory level confidentiality characteristics are provided for image authentication, and highly reliable image authentication and recovery are realized.

The invention relates to a multi-party data security computing method and system based on TEE and an encrypted mirror image, and belongs to the technical field of data security computing, and the system sequentially comprises an access layer, a security authentication and control layer, a data and mirror image security layer and a security computing environment layer from top to bottom, the method comprises the steps of encrypting and uploading a data demander program mirror image, encrypting and uploading participant data, performing safety calculation in TEE and encrypting and downloading a data demander result. In a word, the method has the advantages of realizing full-process security protection of multi-party data security calculation, effectively reducing the risk of data leakage, providing intellectual property protection of calculation codes, preventing algorithm leakage and reverse engineering, and ensuring commercial confidential security of users.

The invention belongs to the technical field of group chat privacy protection, and particularly relates to an open group chat privacy protection system. The system comprises a user terminal interaction module, a picture acquisition and encryption uploading module, an image privacy processing module, a picture security verification module, a group chat administrator auditing module, a server storage and management module and a group chat display and access control module. According to the method, through a three-level privacy processing mechanism of automatic sensitive area identification, manual frame selection supplement and mosaic intensity adjustment, and in combination with dual verification of manual auditing, full-link privacy protection from uploading to displaying is realized, and thorough desensitization and irreversible recovery of certificate key information are ensured.

The application discloses a container image security detection method and system based on self-defined features, and belongs to the technical field of container image security detection, and aims to solve the technical problem of how to conduct targeted security protection on image security in a multi-element security scene mode. The method comprises the following steps: constructing an image feature object and storing the image feature object in a database in the form of a registry, wherein the image feature object is a set of self-defined rules, and the rules are used to define detection behaviors for security evaluation of image features; for an image package pulled from an image warehouse, a scanner is used to analyze the metadata of the image to obtain an analysis result, and the analysis result is stored in a feature database; and the analysis result is evaluated based on the self-defined rules in the image feature object, and a security alarm is generated if the analysis result matches unsafe behaviors defined in the rules.

The invention belongs to the technical field of intelligent traffic toll collection, and particularly relates to an ETC payment-assisting automatic deduction system, which comprises a license plate recognition module used for acquiring the license plate number of a passing vehicle and a real-time vehicle image through an image acquisition and intelligent recognition technology, and a safety verification module used for verifying the real-time vehicle image according to the information provided by the license plate recognition module. The cloud account management module is used for being responsible for associating a user registration account corresponding to a license plate and storing and monitoring the balance, the validity period and the state of a user payment account in real time, the early warning module is used for carrying out multi-dimensional verification on the vehicle identity according to account state data provided by the cloud account management module, and the multi-scene adaptation module is used for carrying out multi-dimensional verification on the vehicle identity. The method is used for identifying scene types and automatically matching corresponding fee deduction rules through interaction with charging systems of different passing scenes. The method breaks through the forced dependence of the conventional ETC on OBU hardware equipment, solves the problem that a user cannot pass due to equipment damage and no OBU installation, and is suitable for the scenes of temporary vehicles, rental vehicles and the like.

The application provides an image processing method and device, the method comprising: performing block processing on an edge image corresponding to a target image to obtain an edge block; determining an optimal region based on a first edge block satisfying a target condition; and embedding target embedding information into the target image based on the optimal region; wherein the target condition is determined according to the size of the edge block, the size of the edge image and the length of the target embedding information. The image processing method and device provided in the embodiments of the application can filter out an optimal region for information embedding, thereby improving image security, reducing information embedding cost and improving information embedding efficiency.

The invention is suitable for the technical field of image processing, and provides an image processing method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining an original image; determining the original size of the original image, wherein the original size comprises P * Q pixels; according to a preset secret key, a random sequence is generated, the random sequence comprises P * Q positions, and the positions of the P * Q positions and the positions of the P * Q pixels in the original image are different; and adjusting the positions of the pixels in the original image according to the random sequence to obtain a confused image. Therefore, the security of the image can be ensured as much as possible, and the image after privacy processing occupies less storage space.

The invention particularly relates to an AI auxiliary diagnosis method for oral cavity observation, which relates to the technical field of oral cavity medical AI and medical image security, and comprises the following steps: generating a Hash watermark by using patient information, and embedding the watermark into an intermediate frequency alternating current coefficient of a diagnosis core area by adopting a coefficient relation modulation method. According to the method, the local terminal is subjected to deterministic partitioning and frequency domain irreversible desensitization processing, rigid protection of biological privacy of a patient is achieved from the source, and the risk of privacy leakage in oral medical image transmission and storage is dealt with; color space conversion, threshold screening and mathematical morphology operation are completed at a local terminal, a diagnosis core area and a privacy sensitive area are accurately divided, and privacy processing can be completed without uploading an original image; the privacy sensitive area is subjected to combined processing of direct current component retention, medium and low frequency coefficient pseudo-random attenuation replacement and high frequency coefficient zero setting, a reverse mapping table and attenuation factors are not retained, irreversible blinding is achieved on the mathematical level, and biological characteristics such as cheilogramma and facial skin cannot be restored.

The invention provides a safe scanning method and device for a container mirror image, electronic equipment and a storage medium, and the method comprises the steps: downloading a read-only access configuration file of each container cluster from a container cluster management platform; the read-only access configuration file is used for limiting the access authority to the container cluster to be the read-only access authority; deploying a plurality of containers and a container mirror image used by each container in the container cluster; for each container cluster, based on the read-only access configuration file of the container cluster, obtaining container information of each container which is currently in operation from the container cluster; the container information comprises a mirror image identifier of a container mirror image used by the container; and based on each mirror image identifier contained in the received container information, taking the container mirror image corresponding to each mirror image identifier as a to-be-scanned container mirror image, and performing security scanning on each to-be-scanned container mirror image to judge whether security vulnerabilities exist in the to-be-scanned container mirror image. Through the method, the safety scanning efficiency of the container mirror image is improved.

The invention discloses a lightweight trusted container sandbox construction method and system, a terminal and a medium, and relates to the technical field of trusted computing, and the technical scheme is characterized by comprising the following steps: constructing an extremely simple container basic environment; integrating a built-in trusted measurement mechanism; realizing kernel-level static measurement; dynamic measurement of a user mode is realized; and establishing trusted sandbox isolation. According to the method, the container mirror image is generated in a rootfs mode under the same system environment, system components are simplified greatly, a hardware-level trusted root is constructed, and innovative technologies such as full-link trusted measurement are realized, so that the problems of insufficient mirror image security, insufficient isolation, lack of trusted mechanisms, high resource consumption, high system overhead and the like in the existing container technology are solved; and high-security, high-credibility and lightweight deployment of the container environment is realized.

The application provides a 3D multi-image encryption method and system based on a poker and Rubik's cube model, relates to the technical field of multi-image encryption, and specifically comprises the following steps: obtaining a plurality of plaintext images to be encrypted, constructing a 3D cube through block division and stacking operation, generating an operation sequence and a 3D key for the constructed 3D cube by using a SHA function and an interlaced Logistic mapping, performing plane rotation and shuffling on the constructed 3D cube based on the poker and Rubik's cube model according to the generated operation sequence to obtain a disturbed cube, performing bit-by-bit XOR operation on the disturbed cube and the 3D key to obtain a cipher cube, and expanding the cipher cube to generate a plurality of ciphertext images. The application combines chaos and a SHA function to realize a new 3D multi-image encryption scheme, fully disturbs pixels with small time consumption, has strong pixel scrambling capability and low time consumption, and effectively protects image security in a high-efficiency and effective manner.

The aim is to allow video confirmation at the control center as needed, even when security is deactivated, while respecting user privacy. [Solution] The security system 100 includes an imaging device 10 that captures images of a predetermined security area S, a security device 30 that acquires images from the imaging device 10, a security terminal 50 that requests the security device 30 to display the images and displays the images when the request is approved, and a user terminal 60 that receives an image display signal indicating that the security terminal 50 has displayed the images. When the security device 30 approves the security terminal's request to display the images, it transmits the images to the security terminal 50 and also transmits an image display signal to the user terminal 60.

The application provides an image dataset expansion method for a terahertz imaging security check system, which can solve the problem of poor continuity and unsmooth video display of millimeter wave / terahertz video images caused by the insufficient actual available data sample amount due to the influence of factors such as the limitation of system imaging equipment and long imaging time in the current millimeter wave / terahertz imaging security check process; a single-frame original terahertz imaging image of a measured target person is collected by a terahertz imaging security check device; each collected original terahertz imaging image is subjected to image expansion processing and an expansion new image corresponding to each original terahertz imaging image is obtained, especially, a semantic segmentation technology is applied to obtain the outer contour image of the measured target person in each original terahertz imaging image, and the position of the measured target person in the original terahertz imaging is judged according to the outer contour image, then the imaging image is subjected to position bias processing according to the position, and the image after the bias processing is added to the current frame as a new image.

1. The name of the design product: millimeter wave sensor case (MD-A2-128-TR-v2.0). 2. The use of the design product: the design product is used for the transceiver front-end assembly case of the human body imaging security instrument. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

A method and system for preventing the leakage of image files from a mobile communication terminal are disclosed. An authentication-based method for preventing leakage of a mobile communication terminal image file according to an embodiment of the present invention comprises: (a) a step in which a slave terminal creates a first converted image file by inserting watermark information including a first user key identifying a master terminal user and a second user key identifying a slave terminal user into an image file captured through the camera of the slave terminal; (b) a step in which the slave terminal transmits image file information including the watermark information of the first converted image file to a master terminal to perform an authentication procedure for the access rights of the slave terminal user to the first converted image file, and receives grade information indicating the access rights grade of the slave terminal user from the master terminal; and (c) a step in which, if the access rights grade indicated in the received grade information is a first grade, the slave terminal encrypts the first converted image file, and if the access rights grade indicated in the received grade information is a second grade, the slave terminal inserts an image security program into the first converted image file to create a second converted image file.

1. The name of the design product: civil aviation security instrument. 2. The use of the design product: for airport body scanning imaging security. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The present application relates to the field of image security, and specifically relates to an image encryption method based on a three-dimensional memristive hyperchaotic system, comprising the following steps executed in sequence: S1: a hash value of an original gray image P is calculated using a SHA-256 algorithm, and the hash value is used to construct an initial secret key of a three-dimensional memristive hyperchaotic system; S2: a chaotic sequence is iterated out under a preset initial condition using the three-dimensional memristive hyperchaotic system; S3: the original gray image P is decomposed into four bit planes, zigzag transformation is performed from different starting points, and then the first image is obtained after merging, and the first image is subjected to row and column scrambling based on the chaotic sequence; S4: a diffusion operation is performed on a ciphertext based on a chaotic matrix, and a secret image is obtained; S5: a decrypted image is obtained through the inverse process of the encryption algorithm; various common attacks can be effectively resisted, and the reliability of the entire encryption system is effectively improved.

The application provides a container image scanning method and system based on an elastically scalable distributed load balancing, and belongs to the field of container image security, and comprises the following steps: S1, a Server end acquires a container group template based on Kubernetes admission control; S2, the Server executes different scanning strategies according to the template; S3, an Agent acquires an image layer from an image warehouse according to an image layer distributed by the Server, scans the image layer, and returns the scanning result to the Server; S4, a Job performs a scanning task on a node according to an image name, and reports a scanning result; after the task is executed, the Job container is automatically destroyed; S5, the Server distributes a scanning task according to a resource condition of the Agent, and dynamically adjusts the number of Agents according to a load; and S6, the system checks the uniqueness of an image layer ID, and avoids repeated scanning. The method realizes efficient container image scanning and resource management.

The invention belongs to the technical field of information security and data coding, and particularly relates to a cloud scene-oriented image security coding and decoding method and system, which is applied to a sending device provided with a first trusted chip, and comprises the following steps: acquiring original image data; sending an image sending request to a target receiving device based on the sending device; after the target receiving device receives the image sending request, the sending device generates a symmetric session key based on the first trusted chip; performing compression coding on the original image data according to the generated symmetric session key to obtain encrypted image data; encrypting the generated symmetric encryption key based on an authentication identity key AIK public key of the target receiving equipment to obtain a first ciphertext; performing digital signature on the obtained first ciphertext based on a certificate identity key private key of the sending equipment to generate a signature value; and sending the encrypted image data, the first ciphertext and the signature value to a target receiving device in the form of a security data packet to complete image security coding.

The invention discloses an image secure transmission processing method and system based on homomorphic encryption, and the method comprises the steps: obtaining an input image, converting the input image into a pixel matrix, and carrying out the preprocessing of the pixel matrix according to an operation type; encrypting the preprocessed data by using a BFV homomorphic encryption scheme to generate a ciphertext object; serializing the ciphertext object and uploading the ciphertext object to a third-party server through a security file transfer protocol; executing image matrix operation in the ciphertext state to obtain a ciphertext result; and serializing the ciphertext result, transmitting the serialized ciphertext result back to a user side, decrypting the ciphertext result by using a local private key, and recombining the decrypted ciphertext result into a processed image matrix. Core operation of an image in an encryption state is realized through a homomorphic encryption technology, matrix recombination optimization, ciphertext serialization transmission and a self-adaptive filling mechanism are combined, the integrity of an image processing function is ensured, access of a third party to original data is thoroughly isolated, and the problem of privacy leakage caused by decryption calculation required by traditional encryption is solved.

Systems and methods may be used for access control. These systems and methods may include using a data processing system to identify a video stream, determine an identification of a source type of the video stream, determine whether the video stream is live or pre-recorded based on a determined type of the source type, and output an alert to a device in response to determining that the source type indicates the video stream is pre-recorded.

The application discloses a method, device and equipment for image watermark adding and a computer storage medium, and relates to the technical field of image security. The method comprises the following steps: acquiring a to-be-processed image and a watermark image; performing regional division on the to-be-processed image according to image region image types to obtain divided regions; in the case that the divided regions comprise a first region, performing feature extraction on the image of the first region and the watermark image respectively and performing feature fusion on the images respectively to obtain fused high-frequency features and fused low-frequency features, determining first target features corresponding to the fused high-frequency features and the fused low-frequency features according to the high-frequency features and the low-frequency features, and obtaining a target first region image; and / or in the case that the regions comprise a second region, determining second target features according to pixel point gray values of the image of the second region and pixel point gray values of the watermark image, and obtaining a target second region image. According to the application, watermark embedding is performed according to the division of different regions, and the security of the image is improved.

A medical image security processing method and system with sparse unbalanced marks adopts a central server and a plurality of distributed medical institution clients, a feature extractor of a client local model is used for extracting features of an input medical image, and a classifier generates a category prediction score according to the extracted features. Each client side is provided with a deviation correction network, the deviation correction network takes the medical image features extracted by the feature extractor as input, learnable deviation vectors are generated for sample prediction, category prediction scores generated by the classifier are corrected, errors are prevented from being amplified in the federal aggregation process, and the accuracy of classification is improved. And the robustness of the global model and the cross-mechanism consistency are improved. Parameters of the deviation correction network in each client are only used locally at the client, and do not participate in global parameter aggregation of the central server to prevent cross-end deviation propagation. And the optimization process is decoupled by adopting a double-stage optimization method, so that the mutual influence of the feature extraction and the deviation correction process is avoided.

To meet the needs of hierarchical, multi-user, and differentiated applications in complex environments, this invention proposes a hierarchical image security and privacy protection method. This method divides the plaintext image to be encrypted into blocks, classifies the DCT coefficients of the image blocks, and uses compressed sensing technology for non-uniform compression. Combined with adaptive threshold sparsity and scrambling-diffusion encryption, it achieves progressive hierarchical image security and privacy protection for users with different access levels. Specifically, low-level users can only obtain the edge contour information of the image, medium-level users can obtain an image with blurred texture details, and high-level users can obtain an image containing both contour and detail information with the best visual effect, thus achieving hierarchical access control.

A polar angle control display device comprises a spatial light modulator arranged to output light and an out-of-plane polariser having an absorption axis in a direction having a component out of a plane of the out-of-plane polariser. The polar angle control display device can be a switchable privacy display and can achieve high image visibility to an off-axis user in a wide-angle mode of operation and high image security to an off-axis snooper in privacy mode of operation.

The invention discloses an industrial security risk detection method based on a multi-modal large language model. The method comprises the following steps: 1) acquiring an industrial field image and corresponding security risk labeling information and knowledge documents; 2) extracting features and vectorization expressions of industrial field images and security knowledge documents, and establishing an image and text vector database and image-annotation mapping; 3) performing vectorization processing on the input image, retrieving a Top-K similar image from the image database through similarity calculation, and obtaining security risk labeling information according to the association mapping relationship; (4) related knowledge blocks are retrieved for the second time in a document database according to the security risk labeling information; 5) integrating the original image, the Top-K similar image, the security risk labeling information and the retrieved knowledge blocks into a multi-modal context; and 6) inputting the multi-modal context into the multi-modal large language model, and outputting a security risk detection result. According to the invention, the accuracy and interpretability of industrial safety risk image recognition are improved.