96 results about "Image security" patented technology

The invention relates to the technical field of data access security, and discloses a container mirror image security management method and system, and the method comprises the steps: constructing a container mirror image, generating a differential encryption key through a strategy center, carrying out the encryption strategy of a kernel dependence layer, a runtime environment layer, an application code layer and a sensitive configuration layer, and forming a hierarchical protection basis. If an access request is triggered, firstly collecting equipment fingerprints and geofence information and evaluating an environmental risk score, verifying access authority and an access scene matching degree through attribute-based encryption, analyzing operation track characteristics in real time, identifying an abnormal mode, and if the three-layer verification is passed, generating a temporary access token; according to the method, access request authority is verified, a temporary access token is matched, key fragments are synthesized, a master key is only temporarily generated in a memory and encrypted and stored, and through combination of a double-layer encryption channel and inner-layer and outer-layer defense, the anti-attack ability of container mirror image transmission is improved, and man-in-the-middle attack and data tampering are effectively coped with.

The invention relates to the field of image data processing, in particular to a three-dimensional image safety processing system and method based on a diffusion model. The system comprises an image format conversion module, an image feature training module, an image three-dimensional structure analysis module, an image light effect simulation module, an image rendering module and an artificial intelligence security and image anti-counterfeiting module. Through the convolutional neural network, deep semantic analysis of image content can be realized by processing a large amount of three-dimensional image data, so that the model not only identifies key structure elements in an image, but also can predict positions and interrelationships of the elements in a three-dimensional space, thereby remarkably improving identification accuracy and application efficiency of the model, and improving the application range of the model. A light tracing technology and a neural renderer of a neural network are combined, and the sense of reality of the rendering process is enhanced by simulating the physical propagation process of light. And meanwhile, the accuracy, authenticity and safety of image processing are effectively integrated, and the reliability and the expression effect in image generation and use are comprehensively improved.

The invention relates to a medical image secure transmission method based on multi-modal biological characteristics, and belongs to the technical field of image security protection. According to the method, firstly, a medical image is segmented into lesion pixels and non-lesion pixels through a deep neural network, and then the lesion pixels are embedded into the non-lesion pixels by adopting a timestamp and least significant bit replacement method. Further, according to the method, the marked non-lesion part and the lesion part are combined to generate a marked image. Secondly, multi-modal biological features of a user are extracted through a deep neural network, and a user-defined secret key and features obtained after device MAC address coding extraction are adopted as secret keys; and finally, the marked image is encrypted by using the coded secret key and the chaotic system, so that the safety protection level of the medical image data is enhanced.

The invention discloses a radio and television image secure transmission system based on a 5G communication technology, and relates to the technical field of radio and television image transmission, the system comprises an image encryption module, and the image encryption module is connected with a block chain storage module and an image transmission module; the image encryption module is used for segmenting broadcast television image data into image segments. According to the broadcast television image secure transmission system based on the 5G communication technology, adaptive encryption and combined encryption are carried out on broadcast television image data through multiple encryption algorithms, different encryption algorithms are met for different security requirements, a proper encryption mode can be selected, and the cracking difficulty is greatly increased through combined use; the security performance of the broadcast television image data is guaranteed, a hash value is generated for each encrypted fragment and stored on the block chain, and the integrity and traceability of the data are guaranteed; once the data is modified, tracing can be carried out through the hash value and the modification log on the block chain.

The invention provides an image secure transmission method based on a four-dimensional hyper-chaotic system and DNA coding, and the method comprises the steps: calculating an initial parameter of the four-dimensional hyper-chaotic system, substituting the initial parameter into the four-dimensional hyper-chaotic system, generating four chaotic sequences, and obtaining an integer chaotic sequence; converting the plaintext image into a binary matrix, and performing DNA coding to obtain a base matrix; performing DNA coding on the integer chaotic sequence F1 to obtain a base matrix J1; constructing a Latin square DNA replacement table, and replacing the basic groups in the basic group matrix according to the Latin square DNA replacement table by using a DNA replacement rule to generate a new basic group matrix; performing index cross scrambling on the base matrix to obtain a base matrix T6; carrying out DNA exclusive-or operation on the base matrix T6 and the base matrix J1, carrying out DNA decoding, and converting into a decimal matrix to obtain a matrix J; and performing forward and reverse random weighted diffusion on the matrix J in sequence to obtain a ciphertext image. The method disclosed by the invention shows good safety and robustness on indexes such as information entropy, NPCR, UACI and the like.

A switchable privacy display device comprises a spatial light modulator comprising an in-plane display polariser, an out-of-plane polariser and a polarisation switch arranged between the in-plane display polariser and the out-of-plane polariser. The display achieves high image visibility to an off-axis user in a wide-angle mode and high image security to an off-axis snooper in privacy mode of operation.

The invention belongs to the technical field of optical communication data encryption transmission, and particularly relates to a photoelectric detector with a multi-channel encryption function and application thereof. According to the method, array structure photoelectric detector units based on bias voltage selective configuration are adopted, and for different incident light signals, bias voltages of all the photoelectric detector units in a silent state are calibrated to serve as secret keys for encryption; the method breaks through the channel number limitation of a dual-channel technology, has flexible expansion capability (the channel number n is greater than or equal to 3), and can be successfully applied to high-security transmission of static image and dynamic image streams. The physical encryption strategy not only improves the image security, but also has very strong universality and expandability. And by increasing the channel number n and the array scale m, the encryption level is further improved, and the information transmission security is ensured. The method is of great significance to development of a large-scale data communication technology and can be used for encryption and authentication of large-scale image data.

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.

In order to meet hierarchical, multi-user and differentiated application requirements in a complex environment, the invention provides an image grading security privacy protection method, which comprises the following steps of: partitioning a plaintext image to be encrypted, classifying DCT (Discrete Cosine Transform) coefficients of image blocks, and carrying out non-uniform compression by utilizing a compressed sensing technology; and in combination with adaptive threshold sparsification and a scrambling-diffusion encryption method, progressive image grading security privacy protection oriented to users with different grades of permissions is realized. Wherein the user with the low-level authority can only obtain the edge contour information of the image, the user with the middle-level authority can obtain the image with fuzzy texture details, and the user with the high-level authority can obtain the image which contains contour and detail information and has the best visual effect, so that hierarchical access control is realized.

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.

Systems and methods may be used for access control. These systems and methods may include using a data processing system to access a video stream, the video stream including an image including a virtual background, segmenting the image into a foreground portion and a background portion to determine whether the foreground portion or the background portion of the image meets a threshold requirement, and outputting an alert in response to determining that the foreground portion or the background portion of the image fails to meet the threshold requirement.

The invention relates to the technical field of terahertz imaging detection, and discloses an explosive detection method and system based on a terahertz imaging security check instrument, and the method comprises the steps: carrying out the security check scanning of a person passing through the security check instrument through employing the security check instrument based on the terahertz imaging technology, recognizing the absorption and reflection spectrum of the personal belongings of a target person in a terahertz frequency band, and carrying out the detection of the personal belongings. Constructing spectral data and image data; and matching the spectral data of the target object with the data associated with the explosive in the terahertz fingerprint database, and comparing the matching degree of the detected target object and the data in the terahertz fingerprint database with an explosive judgment threshold. Aiming at the situation that the explosive is wrapped by a material absorbing terahertz waves, the system can dynamically adjust detection parameters, reduce the probability of missed detection caused by a covering material and improve the detection capability of complex wrappings, and even if the matching degree of a target object is lower than an explosive judgment threshold value during first detection, the target object can be accurately detected. A secondary decision mechanism allows for further analysis of items approaching a threshold.

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 relates to a medical image encryption system and method based on a double adversarial neural network, and belongs to the technical field of image security protection. According to the method, an image encryption system is designed by using nonlinearity and instability of a deep neural network, firstly, two pairs of mutually confronting neural networks are adopted as a main framework of the encryption system, then random noise-like images with ideal characteristics are constructed to supervise encryption network training, and original medical image data are used to guide decryption network training. The encryption system provided by the invention dynamically generates a key with strong randomness and high sensitivity through adversarial training, and finally encrypts input medical image data in combination with an encryption network architecture and key parameters.

Provided are an encryption method, a decryption method, and an apparatus. The encryption method comprises: generating a security parameter set comprising a library picture identifier and a security parameter set identifier, the library picture identifier being used to indicate that the security parameter set is to act on an output picture or a library picture, and the security parameter set identifier being used to distinguish different security parameter sets acting on a same RAS or library picture AU; encrypting an NAL unit to be encrypted corresponding to the security parameter set, an NAL unit header of the NAL unit once it has been encrypted comprising an encryption flag used to indicate that the NAL unit has been encrypted with a specified encryption method in the security parameter set corresponding to the security parameter set identifier; and outputting a compressed video bitstream comprising the encrypted NAL unit and the security parameter set. Thus, a security parameter set is independently generated for each of a library picture and a output picture for encryption and decryption, which solves the contradiction that a security parameter set for the library picture cannot meet the constraint of using a same security parameter set for the library picture and a random access segment where the library picture is located.

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 present invention discloses a remote sensing image security retrieval method and system in a cloud environment. The present invention applies a CNN model to extract features, then performs dimension reduction according to spectral rotation hashing, and performs clustering through K‑mean++, thereby improving retrieval efficiency and accuracy. A secure encrypted searchable index is generated according to the modified tuple of ASPE to achieve privacy protection in the retrieval process. Image encryption is performed after making room for watermark embedding through prediction error marking and pixel rearrangement to ensure the security of image content. Copyright information and user information can be flexibly embedded and extracted in the process, which is convenient for copyright authentication and tracking of distribution data. In addition, the authenticity of the retrieval results is verified by constructing a Merkle tree. While completing the remote sensing image retrieval task with high accuracy and efficiency, the present invention ensures the security of image content, the privacy of the retrieval process, the legality of data distribution and the authenticity of the retrieval results.

Provided are an encryption method, decryption method and device, the encryption method comprising: generating a security parameter set comprising a knowledge image identifier and a security parameter set identifier, the knowledge image identifier being used for indicating the security parameter set to act on a display image or a knowledge image, the security parameter set identifier is used for distinguishing different security parameter sets acting on the same RAS or knowledge image AU; encrypting a to-be-encrypted NAL unit corresponding to the security parameter set; the NAL unit header of the encrypted NAL unit comprises an encryption mark which is used for indicating the NAL unit to encrypt by a specified encryption method in a security parameter set corresponding to the security parameter set identifier; a compressed video bitstream including the encrypted NAL unit and the set of security parameters is output. Therefore, security parameter sets are separately generated for the knowledge image and the display image for encryption and decryption, and the contradiction that the security parameter set of the knowledge image cannot meet the constraint that the knowledge image and the random access fragment where the knowledge image is located adopt the same security parameter set is solved.

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 present invention discloses an anti-counterfeiting authentication method and system for a dual-order two-dimensional code, and relates to the technical field of multimedia image security and anti-counterfeiting, including: generating a dual-order two-dimensional code according to an existing texture pattern set; printing and scanning the dual-order two-dimensional code twice, obtaining first data and second data, performing texture classification on the dual-order two-dimensional code, and calculating the Tamura roughness of the classification result; calculating the authentication threshold according to the Tamura roughness of the classification result; scanning the dual-order two-dimensional code to be authenticated, calculating the Tamura roughness mean of the dual-order two-dimensional code to be authenticated; comparing the Tamura roughness mean of the dual-order two-dimensional code to be authenticated with the authentication threshold, and completing the anti-counterfeiting authentication. The present invention calculates the authentication threshold of the dual-order two-dimensional code using the Tamura roughness of the texture pattern, better reflects the information loss generated in the printing and scanning process, avoids the defect of large threshold deviation, and effectively improves the accuracy and robustness of the dual-order two-dimensional code anti-counterfeiting authentication.

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.