162 results about "Information hiding" patented technology

The invention provides a multi-feature information hidden document integrity verification and tampering positioning method, and relates to the field of network security and digital document protection. The multi-feature information hidden document integrity verification and tampering positioning method comprises the following steps: S1, document multi-dimensional feature extraction and encryption: based on an original Word document, adopting an SHA-3 algorithm to calculate a full-text hash value as a content feature, and extracting document object model features such as paragraph hierarchy, table structure and the like through a DOM tree analyzer; after the two types of features are combined into a feature matrix, a dynamic secret key is generated through Logistic chaotic mapping for XOR encryption, and an encrypted document feature matrix is generated. A dynamic key is generated by combining Logistic chaotic mapping encryption through a multi-dimensional extraction technology fusing document content hash values and structural features, so that the anti-cracking capability of a feature matrix is remarkably improved, the confidentiality of document features in open network transmission is ensured, the block information retention rate is simulated and predicted by adopting Monte Carlo, and the watermark embedding weight is dynamically allocated.

The invention relates to a packaging method for modeling and production unit combination of digital twin virtual equipment, which realizes modeling of the virtual equipment through an abstract process from top to bottom, and ensures high cohesion packaging of key attributes, states and behaviors of the virtual equipment in combination with an information hiding and uniform interface mechanism. A production unit-level combination and hierarchical packaging framework is further constructed based on the equipment model, and recursive combination and interoperation of multiple layers of modules are realized through unified station-level, production line-level and workshop-level interfaces and scheduling logic; according to the method, the modeling and packaging process of the digital twin virtual equipment is defined, the high cohesion packaging and interface uniformity of the model are highlighted, and cross-level combination and scheduling logic design are supported, so that the consistency and the implementability of the model in the system integration, evolution extension and module multiplexing processes are remarkably improved, and the modeling efficiency of the digital twin virtual equipment is improved. And universal and normalized technical support is provided for hierarchical construction and efficient deployment of virtual equipment in an intelligent manufacturing system.

The invention discloses a reversible information hiding method and system for enhancing image smoothness, and relates to the technical field of information security, and the system comprises a preprocessing module, an information embedding module and an optimization recovery module. According to the method, the Sobel operator is utilized to calculate the image gradient map, the region is divided based on the threshold T, the smooth region and the texture region can be accurately distinguished, an accurate basis is provided for differential processing of different regions, region characteristics are fitted, large-size blocks and sub-blocks of the smooth region are divided to facilitate subsequent refinement processing based on the gradient mean value, and the processing efficiency is improved. The small-size blocks of the texture area are beneficial to operation aiming at texture features, the rationality and effectiveness of overall processing are improved, meanwhile, the pixel mean value in the large-size blocks of the smooth area is calculated, the pixel and mean value difference value is recorded, reversible low-pass filtering is carried out, and the reversibility of the image in the whole information hiding and recovering process is ensured.

The invention discloses a text steganography method introducing a large language model, a related method and a related device. The method comprises the following steps: segmenting a secret information bit stream into a plurality of segmented bit streams according to a preset segment length; based on the secret information bit stream and a preset segment length, collecting a knowledge graph, and constructing a candidate database and a supplementary database; coding is carried out according to all knowledge maps in the candidate database, so that the knowledge map corresponding to the first segmented bit stream is determined to serve as a selected knowledge map; inputting the selected knowledge graph into a preset knowledge graph text generation model to obtain a steganographic text corresponding to the first segmented bit stream; deleting the selected mapping knowledge domain from the candidate database, selecting one mapping knowledge domain from the supplementary database, and adding the selected mapping knowledge domain into the candidate database; and the knowledge graph coding and text steganography processes are executed again until all the segmented bit streams are processed. According to the method, the quality and naturalness of text generation are improved, and high-capacity and hidden secret information hiding is realized.

The embodiment of the invention discloses a ciphertext domain reversible information hiding method and device based on secret image sharing. A specific embodiment of the method comprises the following steps: carrying out secret sharing on secret information to be embedded to obtain a secret information sharing copy sequence; carrying out system conversion on the secret information sharing part sequence to obtain a converted information sharing part sequence; performing image scrambling on the secret image by using a preset scrambling key to obtain a scrambled image; performing region division on the scrambled image to obtain an image division region sequence; embedding each converted information sharing copy in the converted information sharing copy sequence into a corresponding image division region in the image division region sequence so as to carry out ciphertext domain reversible information hiding, and obtaining a marked sharing copy sequence; and storing the marked shared copy sequence. According to the embodiment, the calculation complexity of the encryption process can be reduced.

The present invention discloses a method and apparatus for generating and extracting steganographic information, a device, and a storage medium, and belongs to the field of information hiding technology. The method constructs a reinforcement learning Gobang game model, optimizes the selection of moves by introducing a spatial attraction matrix, calculates the attraction value of each blank position, and performs weighted adjustment on the probability of candidate actions, so that the distribution of moves conforms to the aggregation characteristics of professional players. After dynamic encoding, the secret information is embedded in the chess record through hierarchical position mapping, with a maximum capacity of 495 bits for a single game. The receiver digitizes the chess record through color space analysis and an improved circle detection algorithm, and finally decodes and restores the information. The present invention has high concealment, large capacity, and strong anti-detection performance. The generated chess record has a high degree of naturalness and is suitable for secure communication needs.

The invention discloses an open set radio frequency fingerprint identification method and a medium, and relates to the technical field of information hiding. The method comprises the following steps: acquiring radio frequency fingerprint data based on multi-receiver fusion; inputting the obtained radio frequency fingerprint data into a feature extraction model to obtain a to-be-identified vector; wherein the trained feature extraction model generates a plurality of prototype points for each known class, and the prototype points are stored as class prototypes; and calculating the distance between the to-be-identified vector and the class prototype for class judgment or unknown class discovery, thereby realizing open-set radio frequency fingerprint identification. According to the invention, the technical problems of poor universality, weak generalization and low robustness of radio frequency fingerprints are effectively improved, and low-delay, low-power-consumption and high-accuracy identification of equipment is realized.

The present invention relates to an information compilation technology method based on the Julia fractal set. The method includes the following steps: Step S1, information encoding: converting the input information into binary ASCII code and mapping it to complex numbers to generate a Julia set image with specific fractal features; Step S2, obtaining the fractal dimension D: obtaining the fractal dimension D of the fractal image through the box-counting method as the eigenvalue of the information; Step S3, information hiding and storage: storing the fractal image feature data and the fractal dimension D in a database to achieve dynamic storage of information; Step S4, information decoding and error correction: during the decoding process, obtaining the fractal dimension D of the fractal image, inversely deriving the original information based on this as an index, and using the fractal self-similarity to achieve error correction. The present invention can use the self-similarity and high complexity of the fractal image to achieve the concealment of information, the efficient compression of data, and the anti-interference ability.

The invention discloses a sensitive information secure transmission system, which comprises an information sending end and an information receiving end, and is characterized in that after receiving an original image and sensitive information, the information sending end generates a secret-containing carrier image through multi-scale frequency domain decomposition, sensitive information encryption scattering embedding, wavelet inverse transformation reconstruction and dual-channel processing architecture processing and sends the secret-containing carrier image; and the information receiving end extracts the encrypted sensitive information after receiving the encrypted carrier image, and analyzes and outputs the sensitive information after three-level integrity verification. According to the system, the defects of limited information hiding capacity, weak anti-interference capability, unreliable integrity detection and difficulty in self-adaption of an embedding strategy in the prior art can be overcome, high-density embedding of sensitive information, strong anti-interference performance, complete protection and self-adaption of the embedding strategy are realized, and visual concealment, image quality and transmission safety are balanced.

The invention provides an electronic bill image reversible information hiding method and device based on stream encryption, and belongs to the technical field of information hiding. In the method, an image owner encrypts an original carrier image by using encryption keys K1 and K2, and transmits the encrypted image to a data hider, and the data hider completes embedding of hidden information by using an encryption key K3. After an image user receives an encrypted image containing hidden information, if the image user obtains decryption keys K1 and K2 from an image owner, the image can be decrypted through the decryption keys K1 and K2; if the decryption key K3 is obtained from the data hiding person, hidden information in the image can be extracted based on the decryption key K3; and if the decryption keys K1, K2 and K3 exist at the same time, the original carrier image can be recovered in a relatively lossless manner. Meanwhile, the method also improves a generative adversarial network structure, and the improved network is utilized to realize accurate restoration of the image. According to the method, the image restoration quality is improved while the capacity of the embedded information is ensured.

The invention discloses an image feature matching and fusion method and system based on a multi-modal large model, and relates to the technical field of image processing, and the method comprises the steps: obtaining different modal data and internal and external parameters of imaging equipment, extracting the initial features of each modal data, and generating prior information; constructing a geometric offset matrix and a spatial scale in a unified coordinate system, calculating a cross-modal correlation graph and multiplicative injection intensity based on initial features and prior information of each modal data, obtaining optimized features of each modal data after updating, and normalizing to generate preliminary fusion features; and an information hiding mask is constructed on the preliminary fusion feature, decoupling is carried out along the geometric main direction of the geometric structure optimization feature, and a double-criterion screening channel is adopted to obtain a task selection description. According to the method, geometric guidance calculation and spatial constraint modeling are introduced, so that direction alignment and spatial consistency of multi-modal data under a unified coordinate system are realized, and the stability and reliability of a fusion process are ensured.

The invention discloses a steganographic text detection technology based on text reconstruction and word order semantic features, and belongs to the technical field of information hiding. The method comprises the following steps: selecting an open source English steganography text data set containing three fields of social platform speaking, news manuscripts and film review; words in non-steganographic text sentences in the data set are randomly disorganized and sent to a large language model for reconstruction training, and the training target of reconstruction is an original text; and randomly disorganizing a data set text, and inputting the disorganized data set text into the trained model to generate a reconstructed text. And finally, inputting the original text, the disordered text and the reconstructed text into a steganography detection model, calculating a cosine similarity matrix, extracting a semantic difference feature map through a CNN, flattening, splicing semantic vectors of the original text, and inputting the semantic vectors into a classifier to output a binary detection result. Through continuous training, an error between a classifier output result of the model and a real labeling result is continuously reduced, so that parameters of a feature extractor and a classifier are optimized, and the model steganography detection accuracy is improved. According to the method, semantic information and word order features are utilized for classification, high accuracy, low cost and good interpretability are achieved, steganographic texts can be effectively detected, and information safety is improved.

The invention relates to the technical field of low-power wide area network communication and information hiding, and discloses a LoRa-based covert communication method, which comprises the following steps of: at a transmitting end, generating a key-driven perturbation sequence according to covert information to be transmitted, constraining perturbation parameters through an undetectable controller, and transmitting the perturbation sequence to a receiving end; performing symbol-level perturbation modulation on the linear frequency modulation slope of the LoRa signal, and embedding a low-speed synchronous beacon in a preamble symbol counting tolerance range; at a receiving end, conventional data is demodulated through a standard LoRa receiving process, a frequency offset residual error, a phase residual error and a symbol fitting error after de-spreading are extracted in parallel, related detection is carried out by using a key consistent with a sending end, and hidden information is extracted from a residual error domain; the undetectability controller dynamically adjusts perturbation magnitude and embedding density based on a distribution difference metric. The objective of the invention is to solve the problem that communication reliability and hidden undetectability are difficult to guarantee at the same time in a LoRa system.

The invention discloses a sensitive data security storage method based on image information hiding, which comprises the following steps: encrypting information M to be hidden by using a key K to obtain a ciphertext C; encrypting the key K to obtain an encryption key EK, decomposing the encryption key EK into a master secret share and a recombined secret share, and decomposing the recombined secret share into n-1 secondary secret shares; hiding the master secret share, the ciphertext C and a randomly generated random value R in the image; and respectively storing the n-1 second-level secret shares and the key expiration time T at n-1 users in the system. According to the method, the hierarchical linear secret sharing technology and the image information hiding technology are combined, the security of sensitive data storage can be improved, a user can extract information from the image only by using a password, the method is not limited by certain specific equipment, and the operation convenience is high.

This invention discloses a method for embedding a hidden two-dimensional dot matrix watermark using a splicable, cut-out, and fully embedded method. It includes: (1) data normalization encoding; (2) data information signature; (3) multiple error detection and correction encoding; (4) two-dimensional dot matrix; (5) pseudo-random scrambling of the dot matrix data; (6) scale matching with the associated carrier image; (7) generation of a two-dimensional dot matrix point cloud; and (8) embedding the hidden two-dimensional dot matrix point cloud into the associated carrier image. This invention is an information hiding method based on the combination of reliability encoding and printed image processing in modern communication technology using two-dimensional coded dot matrices. It can hide anti-counterfeiting marks, images, or text within printed images to achieve information anti-counterfeiting and information traceability. This method improves the anti-attack capability of the two-dimensional dot matrix and overcomes the problem of unreadable information caused by image damage or misjudgment during printing and optical image acquisition.

To provide a security system based on hidden information for electronic document security that maintains security grades and log-related information even when electronic document data is transformed and sustains the policy security process.SOLUTION: In a security system, a security agent 30 provided in a client C1 includes a hidden information module that analyzes the source code of an electronic document executed by an OS-based word processor unit, searches for custom.xml, which is hidden information with fmtID as an identification value, and confirms authority information, a content execution module that coordinates the content execution of the electronic document by the word processor unit, and a security module that hides custom.xml, in which the authority information of the electronic document is composed, at a specific position in the source code of the electronic document data by the steganography technique to generate it as hidden information with the specified fmtID, and limits the tolerance of content by comparing the authority information with reference information.SELECTED DRAWING: Figure 1

The invention provides an instant messaging method for automatically detecting sensitive information hiding, which comprises the following steps of: 1, aiming at a configured sensitive word set, constructing a sensitive word character sequence logic organization structure, and orderly bearing a single sensitive word in the sensitive word character sequence logic organization structure through a plurality of character mapping units on the same logic path, each character mapping unit corresponds to a single character in the sensitive word, the character mapping units pass through a preset logic association relationship, and the logic association relationship represents the sequence of the characters in the sensitive word; 2, on the basis of the constructed special character set, special characters in a to-be-filtered text generated in instant messaging are filtered out, and only non-special characters are reserved to form a to-be-matched character sequence; and step 3, matching the to-be-matched character sequence with the sensitive word character sequence logic organization structure to determine sensitive information in the to-be-filtered text. According to the scheme, the missed judgment problem of a traditional scheme is solved or relieved in a targeted manner.

The invention discloses an image information hiding method, electronic equipment and a storage medium, and the method comprises the steps: obtaining a current detection result obtained by carrying out the target detection of a current frame image, and obtaining a preset region in a reference image; wherein the reference image and the current frame image are acquired by the same image acquisition equipment under the same acquisition condition; determining a dynamic shielding area in the current frame image based on the current detection result; based on a preset area of the reference image, determining a static shielding area in the current frame image; and carrying out information hiding on the dynamic shielding area and the static shielding area in the current frame image. In this way, information hiding missing can be avoided, and the information protection effect is improved.

The application discloses a method for realizing covert communication by using a terahertz high-speed data transmission, which combines information hiding technology with a terahertz high-speed data transmission system, uses original data of a terahertz high-speed data transmission channel as a carrier, carries out digital sampling on an analog signal which needs to be separately transmitted, modifies values of a data part of the carrier, matches the data to be hidden with a function value of the carrier data, hides marking information in the data containing the hidden information, and further improves quality of the carrier data at a receiving end, and saves channel resources for transmitting the analog signal. The information hiding process is carried out at a front end of the terahertz high-speed data transmission system, and does not change a terahertz wireless communication system. The hiding method is simple and flexible, and PSNR is improved by 3 dB compared with a least significant bit replacement method under the condition of the same hiding capacity.

The invention discloses an information hiding anti-counterfeiting method based on a visual perception system and a printing method for a packaging box, and the information hiding anti-counterfeiting method comprises the steps: 1, inputting an original information image I, and carrying out the binarization processing, and obtaining a to-be-hidden information silhouette image B; 2, generating a salt and pepper noise image with the same size as the original information image I through image processing software or a computer programming language, and taking the salt and pepper noise image as an encrypted substrate binary dot image N; 3, copying an image N as a to-be-processed binary dot image N ', and performing pixel transformation on the image N' by taking the to-be-hidden information silhouette image B as a mask through image processing software or a computer programming language to obtain a transformed information hidden image H; and 4, superposing the encrypted substrate binary dot image N and the information hiding image H to obtain a target image C. The method is simple to operate, easy to implement and high in safety, and improves the anti-counterfeiting verification efficiency.

The application discloses a ciphertext domain reversible information hiding method of all-0 row and all-0 column coding, and is characterized by comprising the following steps: 1) coding of all-0 row and all-0 column of a bit plane block; 2) compression space calculation of the all-0 row and all-0 column coded bit plane block; and 3) reversible information hiding of the all-0 row and all-0 column coded bit plane block. The method has the advantages of large embedding capacity and high security.

The present invention discloses a language steganalysis method based on knowledge injection and knowledge encoding, which belongs to the field of information hiding. First, a language steganalysis system model based on knowledge injection and knowledge encoding is constructed. The system model preprocesses the input sentence with the help of a knowledge graph to complete the knowledge injection. Then, BERT is used on the sentence tree and the visible matrix to complete the extraction of semantic features and perform knowledge injection semantic encoding. During the preprocessing, a KE module of graph structure modeling is used to extract knowledge from the input sentence and the knowledge graph to obtain a mini-graph, and the mini-graph is knowledge encoded by GAT. Finally, the captured entity node features and the representation vector obtained from the knowledge injection module are connected in series and added to a fully connected layer. The system model predicts whether the input text is a normal carrier or a steganographic carrier through the output of the fully connected layer. The present invention solves the fragmentation problem of network text and makes the results of language steganalysis more accurate.

This invention discloses an optimal method for dual-protection text hiding, comprising the following steps: Step 1: Encrypting the carrier text using the SHA256 algorithm to generate a hash digest 'a'; Step 2: Embedding the secret information and hash digest 'a' into the three components of the carrier text's color pixel values ​​R, G, and B using an information hiding algorithm to form steganographic text; Step 3: Sending the steganographic text to a receiver; Step 4: The receiver receives the file, which is either steganographic text, legally modified steganographic text, or illegally tampered steganographic text; Step 5: The receiver extracts a hash digest 'b' from the file using the SHA256 hash algorithm; Step 6: Checking if hash digest 'b' is equal to hash digest 'a'. If they are not equal, it indicates that the secret information has been illegally tampered with; if they are equal, the receiver extracts the secret information. This invention combines hash encryption technology with text information hiding technology that minimizes pixel modification, thereby ensuring the integrity and security of the file during transmission to a greater extent.

The invention belongs to the crossing field of information hiding and digital image processing, and particularly relates to an image steganography method and system based on frequency domain transformation and a reversible neural network, and the system comprises a wavelet transformation module which is used for executing frequency domain decomposition of a carrier image, a secret image and a steganography image, the inverse wavelet transform module is used for executing reconstruction from frequency domain features to pixel domain images, the reversible network is used for realizing reversible conversion of 24-channel fusion features, the reversible network is formed by sequentially connecting 16 GlowBlocks in series, and each GlowBlock comprises an activation standardization layer, a reversible 1 * 1 convolution layer and an affine coupling layer which are cascaded. According to the method, through the cooperation of the frequency domain feature hierarchical modeling and the reversible network, while the steganography reversibility is ensured, the visual difference between the steganography and the original carrier is remarkably reduced, the recovery precision of secret information is improved, and the method is suitable for image steganography scenes with high requirements for reversibility, concealment and recovery quality.

The invention discloses a quantization index modulation steganography method based on chaos assistance, and aims to improve the security and concealment of information hiding. According to the method, a high-complexity pseudo-random sequence is generated by combining a delay coupling Lorentz chaotic system, the pseudo-random sequence is converted into a uniformly-distributed sequence through modular lattice operation, the uniformly-distributed sequence serves as external jitter to be introduced into a lattice quantization process, and therefore safe embedding of messages is achieved. According to the method, high-density embedding can be realized while carrier signal statistical characteristics are kept to effectively resist statistical steganalysis, and the method has relatively good image quality and robustness and is suitable for various types of digital carriers such as images, audios and the like.

This invention belongs to the field of information security technology and discloses a method and system for reversible information hiding based on global sorting of single-pixel values. The method includes: dividing the processed carrier image (excluding the first row) into four pixel layers, and globally sorting the pixels in each layer to obtain a one-dimensional pixel sequence; based on the one-dimensional pixel sequence, for all pixel segment sizes within a selected range, determining whether to embed secret information in each pixel segment according to the relationship between a preset complexity threshold and the complexity of each pixel segment; and selecting the carrier image with the lowest distortion as the final encrypted carrier image. This invention solves the technical problem in existing technologies where relying solely on local spatial correlation block division of images limits the performance of reversible information hiding, and improves the hiding performance of reversible information hiding.

The invention provides an anti-mapping method based on an xdp technology. The anti-mapping method comprises the following steps: S1, monitoring and analyzing a network message in real time by adopting the xdp technology; s2, judging whether the network message is a scanning message or not, if so, entering a step S3, and if not, entering a step S9; s3, analyzing and scanning the message through the knowledge base; s4, judging whether the scanning message is a port detection message or not, if so, entering a step S7, and if not, entering a step S5; s5, judging whether the scanning message is an OS detection message or not, if so, entering a step S7, and if not, entering a step S6; s6, judging whether the scanning message is a service detection message or not, if so, entering a step S7, and if not, entering a step S9; s7, returning a forged message; s8, returning to the step S1; and S9, directly forwarding the network message. According to the invention, special identification is carried out for network scanning and network surveying and mapping, an alarm is given after identification, a scanning result is prevented from being returned or modified, a hacker obtains a wrong scanning result, and the purposes of information hiding and information camouflage are achieved.

The invention discloses a coding watermark pattern generation, hiding and detection method, which comprises the following steps of: firstly, establishing a Cartesian coordinate system for an original graph, calibrating, further quantifying the gray scale of the original graph into dark and light color blocks, and further splicing the adjacent dark and light color blocks into a virtual graph block; the method comprises the following steps of: performing channel coding on source data to be hidden, generating a coding sequence, further modulating the coding sequence by adopting a two-dimensional spreading code, generating a two-dimensional matrix signal, performing two-dimensional inverse cosine transformation, forming a two-dimensional spatial domain signal, performing amplitude modulation, forming a matrix graph, and performing information hiding on a virtual graph block; in the detection and verification stage, the steps of gray scale quantization and virtual graph block splicing are also performed, then two-dimensional cosine transform is performed, demodulation is performed based on a prior spreading code, a received signal sequence is further recovered according to the coding sequence of the virtual graph blocks, channel decoding is further performed, and authenticity verification of information is completed. According to the invention, the information security degree and the anti-counterfeiting level are improved.

The embodiment of the invention discloses an information hiding method, an information management method and a related device. The information hiding method comprises the following steps: receiving an information hiding operation triggered by target information in a target session interface; the information hiding operation has a corresponding target object; and in response to the information hiding operation, displaying the target content at a display position corresponding to the target information in the session interface of the target object, the target content is display content obtained after the target information is hidden. According to the method, target information needing to be hidden is autonomously determined by triggering an information hiding operation, so that a user can flexibly trigger hiding of information in a target session interface according to actual requirements, and a target object corresponding to the information hiding operation can be set; in this way, under the conditions that the target object views, shares the session interface and the like, only the target content obtained after hiding processing is conducted on the target information is displayed, the target information is not displayed, and the security of session interface information display is improved.

The present invention discloses a reversible information hiding method for encrypted images with bit-plane compression and block rearrangement. First, the image owner obtains the prediction error image corresponding to the original carrier image and divides it into blocks, and then compresses the bit-planes and statistical feature data of each block. Secondly, the low-order bit-planes of each block are swapped and all the blocks are rearranged, and then the statistical feature data is counted, and the rearranged image is encrypted by an encryption key. Then all the feature data jointly form all the auxiliary information and the Huffman coding is used to reduce the length of the auxiliary information, and all the auxiliary information is embedded into the encrypted image and sent to the information hider. The information hider encrypts the secret information by a hiding key, and then embeds it into the received image and sends it to the receiver. The receiver performs image restoration and data extraction operations on the received image according to the different keys it has. The present invention improves the data embedding capacity of the encrypted image while most of the auxiliary information is encrypted, thus ensuring sufficient security and being more secure and efficient in practical applications.