241 results about "Digital watermarking" patented technology

A method is provided for dynamically generating a digital watermark for a data file. The method includes receiving a request to access the data file from a user; dynamically generating an encryption key based on at least one parameter selected from the group consisting of the identity of the user, the time of access, and the mode of access; embedding a digital watermark into the data file using the dynamically generated encryption key, wherein the digital watermark is unique to the request; providing access to the data file with the embedded digital watermark to the user; and storing information related to the encryption key and the parameters used for its generation in a secure database.

The invention discloses a cross-border data flow management and control system and method based on privacy calculation verification and a medium. The system comprises a legal knowledge graph construction module, a compliance strategy dynamic generation module, a privacy calculation sandbox module, a data flow topology analysis module and a full-link audit tracing module. Natural language terms are converted into programmable compliance rules through a legal knowledge graph, a technical system is driven to automatically adapt to policy changes, the whole process from single-point protection to full-link privacy calculation is achieved, namely, the whole process of data encryption transmission, secret state calculation and compliance verification is covered, global laws and regulations can be analyzed in real time, and an executable technical strategy can be generated; from sovereign confrontation to sovereign collaboration, a sovereign compliance map is constructed through digital twinning, and a data flow path is optimized. According to the method, digital watermark marking is carried out on all nodes of data flow, traceability and responsibility definition of leakage events can be realized, and a cross-border data flow space-time barrier is broken through.

Herein disclosed is receiving predetermined content, receiving a request to transform the predetermined content into a derivative work, receiving a requested theme for the derivative work, using generative artificial intelligence to create the derivative work generated as a function of the predetermined content and the requested theme, determining if the generated derivative work is approved, in response to determining the generated derivative work is approved, applying a digital watermark to the approved derivative work, configuring an authorization server to govern use of the approved derivative work based on the digital watermark and providing user access to the authorized derivative work. The requested theme may be determined using a Large Language Model (LLM) and a chatbot interview. The generative artificial intelligence may comprise a diffusion model. The content may comprise music.

Systems and methods disclosed herein automatically authorize, audit, and manage usage of protected digital content via agentic artificial intelligence (AI) models. A data access / usage request is received (e.g., from a graphical user interface) that is associated with digital assets licensed from third parties. The system uses a first AI agent set to identify the digital content and retrieve corresponding access policies from a distributed database. The system uses a second AI agent set (same as or different from the first AI agent set) to evaluate the request against the retrieved policy to generate a permission set and / or settlement instructions. The system uses a third AI agent set (same as or different from the first and / or second AI agent sets) to embed digital watermarks and / or cryptographic signatures into the accessed content, and to record an audit trail of access, authorization, and / or settlement events in a distributed ledger or database.

The invention discloses a file fragment encryption transmission method and device based on a B / S architecture, and belongs to the field of information security. The problem of systematic contradiction among file transmission efficiency, safety and reliability is solved. The method comprises the following steps: determining a fragmentation threshold value, and carrying out self-adaptive fragmentation processing on an original file; respectively performing RSA public key encryption and AES random key secondary encryption on each fragment file to generate a double-encrypted file; writing the SHA-3 hash value of each fragment file and the timestamp information into a block chain network to generate a non-tampering meta-file; a multiplexing transmission channel is established, a meta-file and an encrypted file set are downloaded at the same time, and each fragment adopts an independent transmission thread; verifying the consistency of the Hash value of the downloaded file and the blockchain evidence, and executing an exponential backoff retransmission strategy on the fragments which fail in verification; and performing streaming decryption recombination on the verified fragments to generate a temporary file with a digital watermark. The method is mainly used in data transmission field.

The invention discloses an active defense method and system based on a large model, and relates to the technical field of security protection, and the method comprises the steps: intercepting a malicious request of an external attacker, cleaning sensitive information and adversarial samples in the malicious request, and outputting standardized data; injecting the standardized data as training data into a training confrontation sample to optimize a protection model, and ensuring the leakage traceability of the protection model by embedding a digital watermark; and trapping an attacker by deploying a honey spot interface and triggering a countering strategy, generating a dynamic defense rule by using the protection model, and updating the training confrontation sample in real time for continuous optimization of the protection model. Active attack sensing and advanced attack blocking are achieved through malicious request interception cleaning and honey spot trapping countering, dynamic defense rule generation and protection model continuous optimization are combined to adapt to attack iteration, a digital watermark tracing mechanism is matched, an'interception-protection-optimization 'closed-loop full link is constructed, and the security defense capability of the protection model is improved.

Herein disclosed is receiving predetermined content, receiving a request to transform the predetermined content into a derivative work, receiving a requested theme for the derivative work, using generative artificial intelligence to create the derivative work generated as a function of the predetermined content and the requested theme, determining if the generated derivative work is approved, in response to determining the generated derivative work is approved, applying a digital watermark to the approved derivative work, configuring an authorization server to govern use of the approved derivative work based on the digital watermark and providing user access to the authorized derivative work. The requested theme may be determined using a Large Language Model (LLM) and a chatbot interview. The generative artificial intelligence may comprise a diffusion model. The content may comprise music.

The invention relates to the technical field of data processing, in particular to an artificial intelligence-assisted password security policy dynamic adaptive adjustment method, which comprises the following steps of: acquiring login operation data to generate an encryption feature gradient; the aggregation server generates a dynamically updated federal reference model through a double-channel model updating mechanism, wherein a long-term model updating channel is fused with historical parameters to maintain system stability, and a short-term behavior time window channel dynamically adjusts recent gradient weight based on a time decay function. A graph computation engine generates a spatio-temporal composite risk score. And the risk decision engine generates a third-level response instruction. A risk misjudgment event is verified based on a response result, high-value training samples are screened to drive incremental training, space-time sensitive parameters are finely adjusted by a meta-learning optimizer, and noise is injected into a quantum gradient jammer to defend attacks. Optimized parameters are synchronized to a system module, and a closed-loop adaptive system is formed by combining homomorphic encryption transmission, model digital watermarking, quantum source hardware binding and anti-quantum signature.

The invention is suitable for the field of digital watermarking, and provides an anti-compression coding robust video watermark generation method based on an adversarial neural network, and the method comprises the steps: constructing an MSCA-GAN model; the model comprises an encoder, a decoder, a distortion layer, a discriminator network and an opponent network, and the specific steps are as follows: step S1, the encoder extracts different scale features of a video frame by using a multi-scale convolution attention mechanism, calculates attention weights, efficiently hides and embeds binary watermark information into the video, generates a watermark-containing video, and transmits the watermark-containing video to the decoder; performing confrontation optimization on an embedding strategy with a discriminator in training; according to the method, for H.264 compression layer special training, the multi-scale convolution attention mechanism and the depth separable convolution are combined, and the anti-compression robustness of the watermark under the H.264 standard is effectively improved; through common attack training such as noise layer simulation cutting and zooming, the watermark can still keep high extraction accuracy and robustness in a complex environment.

The invention relates to the technical field of data management, and discloses a digital twin water plant cluster comprehensive visual management system. The system comprises a processing module, a modeling module, a process flow topology self-adaptive visual management interface and a flow control module, wherein the processing module carries out standardization processing on multi-source parameter data of a water plant to generate real-time data flow; the modeling module constructs a three-dimensional digital twinborn model by utilizing an oblique photography technology; the extraction module extracts spatio-temporal characteristics through multi-channel data fusion to obtain early warning information, the calculation module diagnoses abnormity based on a ternary association network and a heterogeneous graph attention algorithm, and the coding module generates a digital watermark health state code to form a predictive maintenance scheme. The panoramic display of the running state of the water plant, the accurate identification of the abnormal mode and the optimal configuration of maintenance resources are realized. According to the invention, panoramic display of the running state of the water plant, accurate identification of the abnormal mode and optimal configuration of the maintenance resources are realized, so that the overall running efficiency and management level of the water plant cluster are improved.

The invention provides an AI knowledge base construction method and system for multi-source data integration, and belongs to the technical field of knowledge base construction. The method comprises the following steps: adaptively pulling unstructured data at an API-free site through a reversible crawler of a heterogeneous data access framework; the mode drift detector senses field change in real time and updates a protocol in a hot plug mode within 500ms, so that zero-stop synchronization is realized; carrying out weighted resolution on conflicts according to source credibility index attenuation, and generating version stamps with digital watermarks and consanguinity URI (Uniform Resource Identifier) for records; uniformly mapping to a shared semantic space through cross-modal comparative learning, and constructing an incremental hypergraph knowledge graph which can be evolved by probability weight; and extracting an optimal sub-graph by using generative adversarial reinforcement learning, writing the optimal sub-graph into a time sequence knowledge warehouse by using a zero knowledge evidence chain and carrying out block chain solidification, and outputting a verifiable certificate. By the adoption of the AI knowledge base construction method and system for multi-source data integration, end-to-end automatic, high-credibility and traceable large-scale knowledge base construction is achieved.

The invention relates to the field of computers, in particular to a method and device for extracting watermarks. A digital watermark is embedded in a three-dimensional model, the risk that the three-dimensional model is illegally used can be reduced, however, the three-dimensional model is likely to be converted into two-dimensional data, an attack simulated by a neural network in the training process is generally an attack aiming at the three-dimensional model, and when the three-dimensional model is converted into the two-dimensional data, the form of the watermark is difficult to predict; effective watermarks are difficult to extract from two-dimensional data based on the neural network trained by the attack network. In the application, after the electronic device obtains the target file, the corresponding decoder in the neural network is used to extract the watermark based on the type of the target file, for example, the three-dimensional model decoder is used to process the three-dimensional model file, and the two-dimensional data decoder is used to process the two-dimensional data file, so that damage to the watermark caused by an attack means can be eliminated in a targeted manner, and the watermarking efficiency is improved. And the success rate of extracting the watermark from the attacked three-dimensional model is improved.

The present disclosure provides a neural network-based security defense method for encrypted multimedia data, including: adding implicit digital watermark information to original encrypted multimedia traffic to obtain watermark encrypted multimedia traffic; determining a first feature sequence of the watermark encrypted multimedia traffic; based on the first feature sequence and a second feature sequence of the original encrypted multimedia traffic, determining a correlation coefficient between the first feature sequence and the second feature sequence; and if the correlation coefficient indicates that a negative correlation between the first feature sequence and the second feature sequence satisfies a preset condition, performing training based on the first feature sequence and the second feature sequence to obtain a target neural network, where the target neural network is configured to identify whether there is implicit digital watermark information in encrypted multimedia traffic to be detected.

The present application relates to the technical field of computers, and provides a media data playback method and apparatus, a media data tracing method and apparatus, and a protection system. A terminal generates a digital watermark on the basis of authentication attribute information of media data to be played back, the digital watermark comprising the authentication attribute information and signature information obtained by signing the authentication attribute information with a target key. The target key is obtained on the basis of an identity private key held by the terminal and an authentication public key provided by an authentication party. The terminal embeds the digital watermark in the media data and plays back the media data embedded with the digital watermark. The authentication attribute information is used for identifying a playback source range of the media data, plays the role of identity information of the media data, and can reduce a traceability range of the media data. The signature information is used for ensuring the authenticity of the authentication attribute information of the media data. As long as the identity private key held by the terminal is not leaked, other user terminals will not be able to compute the target key, preventing others from maliciously impersonating the watermark to leak media data for entrapment.

A frictionless checkout system identifies items in retail transactions using multiple cameras and image processing. Ceiling-, bagging area- and / or shelf-mounted cameras capture video frames of items in a shopping cart from different perspectives to form an initial list of items associated with a shopper. A bagging-area camera captures video frames as items are removed from the cart and placed into bags. An image processing system, comprising object segmentation, digital watermark reading, and complementary methods such as barcode detection and object recognition, identifies the items and updates a transaction tally. Prior to unloading, the system maintains a global state of items and their positions in the cart. As items are removed, changes in this state are detected and verified at the bagging area. The system provides real-time identification, reduces manual scanning, and generates alerts when items detected in the cart are not added to the transaction tally.

The invention provides a watermark processing method and device, watermark processing equipment, a program product and a medium, and relates to the technical field of privacy computing. The method comprises the following steps: acquiring first data which is requested to be input into a target model by a user through an application programming interface (API); aiming at the first data, judging whether watermarking processing needs to be carried out or not; when it is determined that watermark processing needs to be carried out, based on a backdoor function corresponding to the target model, an API response corresponding to the API request is generated according to the first data, and the backdoor function is constructed according to a decision function of the target model; the API response is output to the user, the first data is added to a trigger set corresponding to the target model, and the trigger set is used for verifying an alternative model of the target model. According to the scheme of the invention, the problem that the existing digital watermarking technology is difficult to effectively defend model extraction attacks initiated through an API (Application Program Interface) is solved.

The invention discloses a statistical data downloading method for supply chain finance, which relates to the technical field of finance and comprises an acceptance permission judgment module, a query resource control module and a desensitization packaging evidence storage module. The acceptance permission judgment module is used for uniformly accessing the statistical application, completing identity verification, main body range binding, index range binding, time range binding and area range binding, and generating an acceptance bill and a judgment bill; the query resource control module is used for generating a query plan under the index aperture mapping dictionary, the partition information and the resource quota, binding a concurrent quota, a throttling quota and a priority queue, and outputting an executable instruction stream; and the desensitization packaging evidence storage module is used for executing differential desensitization according to the main body type and the sensitivity level, performing aggregation calculation and deduplication execution, completing result set packaging, digital watermarking and downloading delivery, generating a downloading certificate and writing a certificate abstract and an evidence index into an evidence storage chain. The method has the characteristic of high consistency.

The invention discloses an anti-screen-shooting robust watermarking method based on a generative adversarial network and multiple tokens, and belongs to the technical field of digital watermarking. According to the method, firstly, watermark information is converted into image features through an encoder, the features are embedded into an original image, and a watermark image which is visually indistinguishable from the original image is generated; then inputting the watermark image and the original image into a discrimination network for feature analysis; in the training process, processing of simulating screen shooting distortion is applied to the watermark image; the watermark information is then recovered from the noise image by a decoder. According to the method, the coding mode of the watermark information is improved, and the robustness of the watermark in a real screen shooting environment is remarkably improved while the visual invisibility is ensured; especially, when the interference such as geometric deformation, moire and color distortion generated by screen shooting is handled, the integrity of the watermark data can be more reliably maintained, and high decoding accuracy is maintained.

In some implementations, there is provided a method comprising: receiving an image and a digital watermark; outputting a watermarked image generated based on the image and the digital watermark; selecting, from a set of benign transforms, a benign transform; selecting, from a set of malicious transforms, a malicious transform; performing the benign transform on the watermarked image to generate a benign image; performing the malicious transform on the watermarked image to generate a malicious image; decoding, by a decoder, the benign image to a first predicted value of the digital watermark; decoding, by the decoder, the malicious image to a second predicted value of the digital watermark; and adjusting at least one weight of the decoder during a learning phase of the decoder.

The invention discloses a vehicle authentication detection task analysis system, and the system comprises a task management center which builds a mapping relation among contract entries, customer detection standards and an internal standard library; the sample car parameter intelligent processing unit is used for capturing data through an API (Application Program Interface) of the Ministry of Communications, verifying the integrity and performing deviation early warning on additional recorded parameters; the sighting judgment core engine is used for analyzing the multi-dimensional similarity between the sample vehicle and historical data based on a random forest algorithm; and the abnormal process control gateway drives the dynamic approval workflow and is connected with a short message platform to push an encrypted link and an overtime alarm. The system integration message middleware synchronizes CSS platform data in real time, the report generation module dynamically fills a detection result through an XML template and calls RESTful API signature, and batch asynchronous processing of historical reports and compression downloading of digital watermarks are supported. According to the invention, the problems of low task analysis efficiency, flow splitting and difficulty in compliance management in vehicle authentication detection are solved.

The present application relates to the field of computers, and in particular to a method and apparatus for extracting a watermark. Embedding a digital watermark in a three-dimensional model can reduce the risk of illegitimate use of the three-dimensional model. However, a three-dimensional model may be converted into two-dimensional data, and the attacks simulated by a neural network during training are usually attacks on the three-dimensional model. Thus, when the three-dimensional model is converted into the two-dimensional data, the shape of a watermark is difficult to predict, and a neural network trained on the basis of the described attack network is difficult to extract an effective watermark from the two-dimensional data. In the present application, an electronic device acquires a target file, and then on the basis of the type of the target file, uses a corresponding decoder in a neural network to extract a watermark, for example, using a three-dimensional model decoder to process a three-dimensional model file, and using a two-dimensional data decoder to process a two-dimensional data file, thereby eliminating in a targeted manner damage to the watermark caused by attack means, and improving the success rate of extracting a watermark from an attacked three-dimensional model.

Systems, methods and technology for authenticating multi-layered objects using encoded signals such as digital watermarking. In one implementation, a value document includes a substrate and a removable overlayer, with a security feature comprising a digital watermark signal printed to cover portions of both the substrate and overlayer. The digital watermark signal includes spatially arranged signal elements forming a frame of reference. Tampering is detected by evaluating offset values associated with the signal elements, where misalignment within the frame of reference indicates tampering. In some implementations, the value document includes a first digital watermark on the substrate with synchronization and payload components, a token with a second digital watermark, and a removable sticker with a third digital watermark. Additional security features include split-mark configurations, tamper mark configurations, holographic foils with overprinted digital watermarks, and fragile tamper-deterrent features that deform upon tampering attempts, causing detectable signal distortion. Other combinations are also provided.

The invention discloses a self-adaptive presswork binding method based on pressure feedback, and relates to the technical field of presswork binding. The method comprises the following steps: firstly, acquiring data such as a paper laminated structure and stress distribution by utilizing equipment such as a terahertz time-domain spectrometer, and analyzing paper components and coating thickness; secondly, combining a quantum annealing model with a digital twinning technology to optimize binding parameters, and predicting a wrinkle risk; during binding, the system establishes a pressure-displacement curve, piezoelectric ceramic micro-vibration friction reduction is adopted, and ultrasonic local softening is triggered if pressure is abnormal; after binding, detecting the quality by means of spectral domain OCT and Raman spectrum, and embedding a digital watermark; and finally, constructing a knowledge graph based on a graph neural network and a block chain, rapidly adapting to a new paper type through meta-learning, and realizing edge end deployment by using knowledge distillation. According to the scheme, the binding qualification rate is greatly increased, the equipment loss is reduced, the new paper adaptation time is shortened to 5 minutes from 2 hours, and the production efficiency is increased by nearly two times.

A computer-implemented process of altering original data in a dataset, in which original data is anonymised and a digital watermark is included in the anonymised data. Anonymising the original data incurs information loss, and the process of including the digital watermark does not add significant further information loss. The original data can be a tabular file, a relational or a non-relational database, or the results of interactive database queries. Anonymising the data is achieved using one or more techniques that perturb the original data, such as tokenisation, generalisation; data blurring, synthetic record insertion, record removal or re-ordering.

The invention discloses an attacker tracing method, device, equipment, medium and product in a network security penetration test, and the method comprises the steps: firstly building a session connection between a client and a target system when the penetration test is started; after the session is established, the client synchronously creates a unique traceability identifier when generating an attack load, and embeds the unique traceability identifier as a digital watermark into the attack load to form load watermark data; constructing a network data packet based on the data and sending the network data packet to a target system through a session channel; carrying out distributed credible storage on attack behavior logs generated in the penetration process by adopting a preset consensus mechanism; after the test is finished, the stored log data is automatically aggregated, an electronic evidence packet meeting judicial requirements is generated, and the whole penetration test process is completely recorded, the technical scheme of the embodiment of the invention can effectively prevent the denial behavior of an attacker, ensure the traceability of the penetration test process, and significantly improve the credibility and legal potency of evidence collection after the event.

The invention provides a digital editing system based on teaching-assistant book content intelligent review, relates to the technical field of content review, and realizes reversible watermark generation and real-time tampering monitoring through integrating a multi-mode copyright protection module with a dynamic digital watermark engine and a block chain bidirectional binding technology. The copyright tracking problem is solved by combining a three-dimensional version map and intelligent contract traceability; multi-user real-time collaborative editing and conflict detection are realized based on an operation conversion algorithm and dynamic authority control of the cloud collaborative review module; through the adaptive image enhancement module and the hybrid segmentation network, the character segmentation precision in a complex scene is significantly improved, and the problems of copyright protection, collaborative editing and image processing in teaching-assistant book examination are comprehensively solved.

The invention provides a media data playing method and device, a tracing method and device and a protection system, and belongs to the technical field of computers. And the terminal generates a digital watermark according to the authentication attribute information of the media data to be played, wherein the digital watermark comprises the authentication attribute information and signature information obtained by adopting the target key to sign the authentication attribute information. The target key is obtained based on an identity private key held by the terminal and an authentication public key provided by the authentication party. And the terminal embeds the digital watermark in the media data and plays the media data embedded with the digital watermark. The authentication attribute information is used for identifying the playing source range of the media data, the function of identity information of the media data is achieved, and the traceability range of the media data can be narrowed. The signature information is used for ensuring the authenticity of the authentication attribute information of the media data. Other user terminals cannot calculate the target key as long as the identity private key held by the terminal is not leaked, so that the situation that other people maliciously counterfeit watermarks to leak the media data to be damaged can be prevented.

Systems and methods disclosed herein automatically authorize, audit, and manage usage of protected digital content via agentic artificial intelligence (AI) models. A data access / usage request is received (e.g., from a graphical user interface) that is associated with digital assets licensed from third parties. The system uses a first AI agent set to identify the digital content and retrieve corresponding access policies from a distributed database. The system uses a second AI agent set (same as or different from the first AI agent set) to evaluate the request against the retrieved policy to generate a permission set and / or settlement instructions. The system uses a third AI agent set (same as or different from the first and / or second AI agent sets) to embed digital watermarks and / or cryptographic signatures into the accessed content, and to record an audit trail of access, authorization, and / or settlement events in a distributed ledger or database.

The invention provides a multi-medical image encryption method with tampering localization capability, and aims to solve the problems of security and integrity of digital medical images in transmission and storage, and the core is to provide localized tampering prevention capability. According to the method, firstly, a novel two-dimensional S-type logarithmic chaotic mapping 2D-SLCM is utilized to generate a secret key and a chaotic sequence which are highly related to plaintext content so as to resist differential attacks; then, performing efficient compression on each medical image by adopting a block compressed sensing (BCS) technology to ensure the transmission efficiency; in the encryption stage, data confidentiality is ensured through a multi-layer encryption process including local binary tree traversal scrambling and global random block scrambling; most importantly, an encrypted unique digital watermark is embedded into each image before the images are merged; the dual mechanism not only can detect the tampering behavior, but also can accurately identify which image in the multi-image set is damaged by verifying the watermark extracted from each image, thereby ensuring the reliability of residual data.

The invention discloses an anti-printing and anti-scanning digital watermark method for a text image, which comprises the following steps of: embedding and extracting a watermark on the basis of a stroke-like thought, segmenting characters and determining the average skeleton quality ASM of each character during embedding, and forming a group by every two characters, changing the ASM of each group of characters according to the to-be-embedded information to embed the watermark and replace the corresponding characters of the source document; during extraction, two characters are also taken as a group, ASM is extracted, and watermark information is extracted by comparing ASM among the characters, so that 1-bit information can be embedded into the two characters, the language type and font of the characters are not limited, the watermark information amount of the document is ensured, and meanwhile, the watermark information is extracted. The problems that algorithms among different languages are limited, and the robustness is poor and the capacity is small when digital watermarks in a space domain and a transform domain resist printing and scanning attacks are effectively solved.