28 results about "Digital watermarking" patented technology

This invention discloses a method and system for generating digital watermarked images. The method includes: acquiring an original image to be watermarked; generating an image coding mask based on the image complexity of the original image; performing frequency domain decomposition on the original image to obtain a low-frequency component image; embedding an initial watermark image into the low-frequency component image according to the embedding strength values ​​corresponding to the masks in the image coding mask to obtain a low-frequency watermark image; different masks in the image coding mask correspond to different embedding strength values; and performing an inverse frequency domain transform on the low-frequency watermark image to obtain a synthesized watermark image. This invention can improve the success rate and accuracy of watermark extraction.

We will improve the technology for embedding digital watermarks in videos. [Solution] The system comprises a terminal device, a first server, and a second server. The terminal device transmits a first video to the first server. The first server embeds uniquely generated coded data into the first video received from the terminal device. The second server receives and stores the first video with the coded data embedded, and makes each stored video publicly available for viewing. The terminal device transmits an analysis instruction for the second video, which has been made publicly available by the second server, to the first server. In response to receiving the analysis instruction, the first server determines whether predetermined conditions are met based on the first video and the second video with the coded data embedded, and transmits information indicating the determination result of whether the predetermined conditions are met to the terminal device. The terminal device displays the determination result.

This invention discloses a blockchain-based evidence storage hardware device for on-site auditing and evidence collection, belonging to the field of audit information technology. The device includes a main control processor, a multimedia acquisition unit, a satellite positioning module, a trusted timestamp module, a blockchain light node chip, a secure storage unit, a communication interface module, a power management module, and an anti-tamper detection module. The core innovations are: hash operations, timestamp generation, and on-chain writing are all completed in a dedicated chip trusted execution environment, with the private key bypassing the software layer; the timestamp module has a built-in hardware clock source calibrated with the National Time Service Center; the positioning module provides hardware-level spatial coordinates; data hash, timestamp, and coordinates are bound together and signed onto the blockchain to form an immutable evidence record; the anti-tamper module triggers private key erasure during unauthorized disassembly; the acquisition unit supports multimodal evidence collection and can embed digital watermarks. This invention achieves the goal of immediate evidence storage upon acquisition and a complete and verifiable evidence chain, enhancing the legal validity of audit evidence.

The application provides a USB copy file digital watermark protection method based on multi-dimensional dynamic tracing, and relates to the technical field of data security and copyright protection. Through the cross-system kernel level monitoring module, Windows / Linux / macOS is adapted, USB device plugging and file copying operations are listened to; through AI risk model prediction grading response, multi-class factor encryption watermark seed is dynamically extracted, file is embedded in different areas and USB device identification is bound; offline caching and network synchronization are supported, combined with privacy desensitization and three-level permission extraction system. The method realizes the whole process protection of pre-judgment, in-process controllability and post-tracing, breaks through the limitations of single system and passive tracing, improves the watermark anti-attack ability and tracing accuracy, balances safety and privacy compliance, and adapts to the needs of multiple scenes and multiple industries.

The application discloses a self-recovery watermarking method based on integer DWT, and belongs to the technical field of digital watermarking, which comprises the following steps: performing integer DWT on an original image to obtain low-frequency and high-frequency sub-band coefficients; obtaining low-frequency coefficients containing a watermark based on the low-frequency coefficients and the watermark; integerizing the low-frequency coefficients to obtain integerized low-frequency coefficients and first auxiliary information; combining the high-frequency sub-band coefficients to obtain a first reconstructed image, and then performing overflow to obtain a second reconstructed image and second auxiliary information; and reversibly embedding the two types of auxiliary information into the second reconstructed image to obtain a watermark-containing image. The watermark-containing image is reversibly extracted, if the auxiliary information can be extracted, the image is recovered in combination with the high-frequency sub-band coefficients, and if the auxiliary information cannot be extracted, the watermark-containing image is subjected to transformation and quantization, and then the image is recovered in combination with high-frequency sub-band coefficients obtained through the transformation. The application takes into account the reversibility and robustness, can losslessly recover the image without attack, and can still extract the watermark and recover the image when attacked.

The application provides a data sharing method, a data display method and device, and a data sharing system, and relates to the field of information security. A digital watermark is embedded in data that needs to be shared in a target group by a data provider, the digital watermark is generated based on a secret level identifier corresponding to the target group, a group key of the target group, and fingerprint information of the data, the data provider sends the data embedded with the digital watermark to group devices in the target group, so that only devices holding the secret level identifier corresponding to the target group and the group key of the target group, and passing the verification of the fingerprint information of the data, can match the digital watermark, and only devices capable of matching the digital watermark have the right to display the data. When the application is applied to a video conference scene, the problem that data of a high secret level conference flows to a low secret level conference, resulting in illegal disclosure of information of the high secret level conference, can be solved, and the security of the video conference is improved.

The application discloses a kind of cross-organizational transmission and verification method of security obligation in data sharing scene.Sender obtains field obligation set through security semantic knowledge base before data sharing, forms obligation accompanying load with obligation set identification, receiver identification and sharing batch identification, embeds in shared data in the form of digital watermark, generates obligation transmission voucher by signing obligation accompanying load and data hash value using SM2 private key, together with signed data is sent to receiver.Receiver extracts obligation accompanying load from received data by locally deployed lightweight semantic obligation verification component, verifies the validity of SM2 signature, and confirms the integrity and compliance of obligation set content against semantic knowledge base;obligation verification log is returned after verification, to realize the closed-loop monitoring of sender to receiver obligation fulfillment status.The application also supports the construction of obligation transmission chain in multi-level circulation scene, and each level of transmission voucher contains a reference to the upper-level voucher, so that the obligation transmission chain can be completely traced back.The application solves the fundamental problem that the cross-organizational data sharing obligation constraints in the prior art can only rely on contractual constraints and lack technical automation support, and realizes a cross-organizational obligation transmission mechanism that propagates with data, is not dependent on prior agreement and is cryptographically verifiable.

This invention discloses a method and system for publishing multimodal data in industrial production for artificial intelligence, belonging to the field of industrial intelligence and data processing technology. The method includes: collecting multimodal data and performing hardware-level time synchronization and preprocessing to obtain a synchronized data stream; extracting multimodal features from the synchronized data stream in parallel and using an attention mechanism to fuse networks and generate a unified feature vector; constructing a five-dimensional quality assessment system and intelligently enhancing it; performing structured annotation and version management; adapting and publishing datasets according to AI tasks; implementing multi-level data anonymization and fine-grained access control, embedding invisible digital watermarks, and generating audit logs; and enabling multi-terminal access through a publishing platform. This invention solves the problems of difficult data alignment, poor quality, and low reusability, achieving secure data sharing and providing a high-quality, standardized data infrastructure for industrial AI applications.

This application relates to a method, system, device, and storage medium for managing paper and electronic bimodal archives. The method includes: acquiring a set of archives to be managed, comprising paper archives and electronic scans of enterprise confidentiality-level archives; generating an encrypted identifier based on the confidentiality classification of the archives and physically attaching it to the cover of the paper archives; the encrypted identifier including the archive number, a confidentiality label, and a digital watermark; establishing a bidirectional association mapping between the paper archives and the electronic archives based on the archive number of the encrypted identifier, and storing it in a blockchain-based evidence database; when an update to the content of the paper archives is detected, scanning the encrypted identifier triggers a synchronous update of the electronic archives, generating a version change log. This application can improve the security of archive confidentiality.

The present invention is a computer-implemented method for marking a digital watermark (1) on data, comprising the following method steps performed by a computing unit (2): a) Step of providing an initial data set (3); b) A step of reading at least one operation system from a watermark database (5) that is connected to a computing unit (2); c) A step of generating a marked data set (7) by applying an operation (6) according to the operation system to each item (4) of the initial data set (3); d) Step of providing a marked data set (7) for use; e) Step of receiving the data set (8) to be examined; f) A step of determining the probability of agreement (9) for the data set (8) to be examined; g) If the match probability (9) is greater than a specified threshold: a step of comparing an item (4) of the data set (8) to be examined with a corresponding marked data set (7) determined for the data set (8); and h) The present invention relates to a computer implementation method characterized by a step of repeating steps a) through g), wherein for items (4) having the same data type as the item (4) for which the operation (6) was confirmed to have been removed in step g), the computing unit (2) uses a different operation system in the watermark database (5).

Program instructions on a non-transitory computer-readable medium are executable by at least one processor to receive predetermined content, a request to transform the predetermined content into a derivative work, and one or more user-specified parameters. Generative artificial intelligence is used to generate the derivative work as a function of the predetermined content and the one or more user-specified parameters. The derivative work includes audio, video, or images. Based on a content approval machine learning model, a determination is made as to whether the derivative work is approved based on a content approval score. The content approval score is based on at least one content owner preference and the derivative work. In response to determining the content approval score exceeds a threshold, a digital watermark is applied to the derivative work, an authorization server is configured to govern use of the derivative work, and access to the derivative work is provided.

Methods and systems for embedding a digital watermark in a stylus pen ink. A method for embedding a digital watermark in a stylus pen ink by a digitizer comprises detecting a touch from a stylus pen on a display of the digitizer, determining a user identification, wherein the user identification is linked to the digital watermark, and based at least on the touch from the stylus pen on the display, displaying the stylus pen ink on the display, the stylus pen ink embedding the digital watermark as a pattern of pixels.

This invention belongs to the field of network security technology and discloses an artificial intelligence-based proactive network intrusion detection and prevention system, including a threat perception unit, an intelligent decision-making unit, a protocol execution unit, an intrinsic security protection unit, a security baseline policy unit, and an audit storage unit. The threat perception unit generates threat vectors based on a dual-channel neural network; the intelligent decision-making unit outputs dynamic protocol parameter combinations based on a hierarchical reinforcement learning algorithm; the protocol execution unit utilizes a resilience extension layer within the standard protocol stack to achieve seamless switching of parameters and keys without interruption through protocol resilience extension frames. The intrinsic security protection unit provides the AI ​​model with digital watermarking and integrity verification based on device identification, and in case of anomalies, it links with the security baseline policy unit to activate a fixed high-security configuration for fallback protection. This invention achieves a closed loop from intelligent perception to millisecond-level proactive defense at the protocol layer, improving the dynamic resilience of network protocols and the intrinsic security of AI.

A system receives a user request from a user from a user device, determines a task based on the user request, selects a LLM based on the task, uses the LLM to generate a digital content responsive to the user request, and generates digital watermarks for the digital content based on one or more of statistical watermarking, linguistic watermarking, or steganographic watermarking, wherein the statistical watermarking generates a hidden pattern based on portions of the digital content, the linguistic watermarking generates textual information to be inserted into the digital content, and the steganographic watermarking generates hidden information based on the digital content. The system further uses hashing algorithms to generate cryptographic stamps for the digital watermarks, generates a secured first digital content by embedding the cryptographic stamps in the digital content, and sends instructions to the user device for presenting the secured digital content.

A visual media is received. For example, the received visual media may be a digital image, a video file, or a video stream. A plurality of colors in the visual media are identified. In response to identifying the plurality of colors in the visual media, one or more watermark colors missing from the plurality of colors. A first watermark is generated to include in the visual media. The first watermark comprises at least one of the missing one or more watermark colors. The watermarked visual media is verified using image processing.

The application is suitable for the technical field of scene modeling, and provides a fraud image recognition method and system based on generative artificial intelligence ethics, which comprises the following steps: acquiring a to-be-detected image, extracting digital watermark information embedded in the to-be-detected image, determining that the to-be-detected image is a real image if the extraction is successful and the verification is passed, and ending the process; if the extraction is not successful and the verification is passed, inputting the to-be-detected image into a trained dual-vision encoder model respectively to obtain fusion features; inputting the fusion features into a trained large language model decoder to generate and output an explainability detection result for the to-be-detected image; and constructing a hierarchical fake identification system of dual-dimension feature detection and explainable decoding to realize efficient and comprehensive identification of generative artificial intelligence fake images.

This invention provides a passive verification method for preventing counterfeiting attacks using a diffusion model based on semantic consistency. It belongs to the field of AI-generated content security and digital watermarking technology. The method includes: S1. Identity index generation and encoding; S2. Initial latent variable frequency domain transformation and region partitioning; S3. Frequency domain embedding of the index binary sequence; S4. Watermark pattern generation and frequency domain injection; S5. Inverse transformation of frequency domain latent variables and spatial scrambling; S6. Watermarked image generation and metadata binding; S7. Latent variable recovery and frequency domain conversion of the image under test; S8. Decoding of the index under test and verification of watermark existence; S9. Semantic similarity verification and image authenticity determination. This invention constructs a verification mechanism that combines watermark correctness and semantic consistency verification without relying on attacker-side information and while maintaining passive verification at the verification end. Its core solution addresses the technical problem that existing diffusion model watermarking schemes cannot identify counterfeit samples where the watermark is detectable but the semantics have been tampered with.

The application provides a diffusion model-oriented generative image watermark processing method. It relates to the fields of artificial intelligence and information security technology, and in particular to the fields of artificial intelligence generated content and digital watermark technology. The method comprises the following steps: encoding watermark information to obtain a bit sequence of the watermark information; determining a dual-purpose key based on the bit sequence mapping and a preset shared redundant bit string; converting the shared redundant bit string into initial latent noise by pseudo-random scrambling and distribution-preserving sampling based on the dual-purpose key; and inputting the initial latent noise into a diffusion model to generate a target watermark image embedded with the watermark information in combination with a generation condition.

Methods, systems, and computer-readable storage media for converting a first set of values of first digital content to a second set of values, dividing a sub-set of values of the second set of values into a set of blocks, applying a transform to each block to provide, for each block, a frequency domain representation, for each block in the set of blocks, embedding a sub-set of watermark bits based on the parameters, executing an inverse transformation of the set of blocks to provide a modified second set of values representative of an image with a digital watermark in the second color space, converting the modified second set of values to a modified first set of values representative of the image with the digital watermark in the first color space, and providing second digital content including the image with the digital watermark.

This invention belongs to the field of specific computer model technology and discloses an intelligent charging scheduling method based on multi-dimensional feature fusion and federated learning, including the following steps: S1, collecting dynamic data from the user side, charging facility side, and power grid side respectively, and performing standardization and spatiotemporal alignment processing in sequence; S2, generating a joint feature vector by weighted fusion after weight calculation and scenario-based adjustment through a spatiotemporally coupled multimodal attention mechanism; S3, constructing a server-side deep reinforcement learning global scheduling model and embedding a charging scenario-specific digital watermark during the initialization phase; S4, inputting the joint feature vector generated in S2 into the trained global scheduling model, and outputting a discretized charging scheduling strategy based on a multi-objective optimization reward function; S5, detecting the model parameters of each federated learning client, performing hierarchical anomaly processing and cleaning abnormal data, receiving user feedback data and converting it into training samples for online fine-tuning.

The application belongs to the technical field of digital watermarking, and particularly relates to a hologram watermark processing method and system, aiming to solve the problem of hologram watermark technology which can meet the requirements of complex structure adaptability and robustness at the same time. The method comprises the following steps: converting an original hologram into a standardized holographic feature map; performing convolution on the real part and the imaginary part of the watermark to obtain a watermark feature map; splicing the standardized holographic feature map after a composite convolution layer with the watermark feature map, and then performing jump connection with the standardized holographic feature map; then compressing the channel number to 3, and performing linear projection reduction to obtain a watermark hologram, wherein the first layer of the composite convolution layer is an isovariant complex convolution, the second layer is a complex batch normalization, the third layer is a generalized tangent ReLU, and no bias parameter is introduced in the isovariant complex convolution. The hologram watermark processing method and system provided by the application significantly improve the adaptability, robustness and extraction accuracy of the hologram watermark.

This invention discloses a digital watermarking video stream verification and protection system based on the DCT domain, relating to the field of watermarked video streams. Specifically, it discloses dividing each extracted image frame data into an 8*8 block matrix on the Y component; repeating the watermark encryption data and watermark verification data to obtain watermark data for each frame's block matrix; adding 1 bit of watermark data to each block of each frame's block matrix; performing a two-dimensional 8*8 DCT transformation on each frame's block matrix; taking the 4*4 data from the upper left corner and performing a two-dimensional 4*4 DCT transformation; taking the coefficient data from the upper right and lower left corners, modifying and replacing the coefficient data according to the watermark data to be embedded, performing a two-dimensional 4*4 inverse DCT transformation, replacing it in the upper right corner of the first-level DCT transformation data, performing a two-dimensional 8*8 inverse DCT transformation, rounding, and then replacing it. This invention improves the concealment and tamper resistance of the watermark information.

Embodiments of this disclosure provide a method, apparatus, device, and storage medium for image publishing. The method includes: in response to detecting a selection operation for a first image in a target application, acquiring a first digital watermark contained in the first image, the first digital watermark indicating at least first identification information and a first access path of a first interface associated with the first image; and in response to receiving an application request associated with the first image, providing the first image and an access point to the first interface, the access point being determined based on the first identification information and the first access path. In this manner, visually imperceptible information carrying is achieved, simplifying the user's operation path and enabling precise retrieval to the original page.

The application discloses a sensitive data leakage detection method, system, device and medium, and belongs to the technical field of sensitive data leakage detection, which comprises the following steps: grading and classifying power data to be shared, and performing desensitization processing on fields containing private information; generating a digital fingerprint for the power data file to be shared, and embedding the digital fingerprint in the data file in the form of digital watermark; establishing an encrypted channel to transmit data through a trusted execution environment; monitoring data access behavior through an AI intelligent detection model, identifying abnormal operations, and recording data access operations on a consortium chain; when data leakage is detected, tracing the leakage source by comparing the characteristics of the leaked file with the digital fingerprint library on the consortium chain, combining digital watermark and consortium chain log recording; and revoking the access permission of the leakage party through the consortium chain smart contract. The application takes the safety of the whole life cycle of data as the core, and builds a complete system covering pre-protection, in-process monitoring and post-tracing.