89 results about "Chaotic encryption" patented technology

The invention discloses an intelligent abnormity early warning system for an industrial Internet of Things edge node, which comprises an edge sensing layer, an edge intelligent layer and a cloud edge collaboration layer, and is characterized in that the edge sensing layer is used for data acquisition and security preprocessing; the edge intelligent layer is used for intelligently analyzing the data transmitted by the edge sensing layer and constructing a dynamic space-time diagram neural network model and a dynamic edge knowledge graph; a digital twinning threshold engine is set, when the digital twinning threshold engine detects abnormity, reverse reasoning is carried out along the knowledge graph, and self-adaptive early warning is carried out; and the cloud edge collaboration layer is used for carrying out collaboration processing on early warning triggered by the digital twin threshold engine. According to the invention, the spatial-temporal features of the equipment group are learned through the set dynamic spatial-temporal diagram neural network; the digital twin threshold engine generates a dynamic threshold based on physical simulation and adapts to environment and load changes; the edge layer realizes lightweight real-time analysis; and a full-link embedded chaotic encryption and national cipher SM4 algorithm is adopted.

According to the invisible watermark embedding method based on the wavelet domain statistical characteristics, the high-frequency sub-band in the wavelet domain is selected as the embedding area, and the robustness of the watermark to conventional attacks such as compression and noise is improved while invisibility is guaranteed. Based on a self-adaptive embedding weight mechanism of a covariance matrix eigenvalue, the embedding strength of different texture regions can be dynamically adjusted, the robustness is enhanced by a smooth region, and distortion is suppressed by an edge region. Nonlinear disturbance is generated by adopting a deep neural network and chaotic encryption preprocessing is combined, so that the predictability of a linear statistical rule is broken, and the method has a relatively good application prospect.

The invention discloses a multi-dimensional assembly line batch encryption method for a cloud control system, which comprises the following steps of: performing chaos encryption on pipeline row and column shuffling on large code words and subcarrier mapping, and encrypting control data generated by a cloud server side by using encryption keys marked as X, Y and Z, the encrypted control data is transmitted to the client through a set number of subcarriers, and the client decrypts the encrypted control data to control the controlled object, so that the security and low bit error rate of the data transmission process in the cloud control system are effectively ensured.

The invention relates to the field of Internet of Things equipment security upgrading, and discloses an intelligent washing machine embedded software online upgrading method and system, and the method comprises the following steps: 1, a server side stores an encrypted upgrading program file and calculates a verification value, issues the verification value in a wireless manner at a set time, generates an equipment uniqueness voucher based on a physical unclonable function, and sends the equipment uniqueness voucher to the server side; establishing equipment identity binding; 2, dynamically calculating a network coding parameter based on the equipment uniqueness voucher according to a real-time channel quality parameter; and 3, based on the network coding parameters, carrying out dynamic block network coding transmission on the upgrade data, and generating an encrypted upgrade data packet by adopting chaotic encryption in the transmission process. According to the invention, an end-to-end security authentication system is realized by binding the unique voucher of the equipment and establishing an encrypted transmission channel. According to the scheme, the unauthorized access and firmware tampering are effectively prevented by utilizing the dual guarantee of hardware features and a cryptographic algorithm.

The invention relates to the technical field of data processing, and discloses a multi-terminal collaborative office data intelligent synchronization and privacy protection method, and the key points of the technical scheme are as follows: system initialization and node registration, intelligent data synchronization based on edge-federated learning, chaotic encryption and key negotiation, dynamic differential privacy protection, and block chain storage and lightweight consensus. An edge-block chain-cloud three-level architecture is adopted, federated learning, chaotic encryption, dynamic differential privacy and a DQN-Raft + consensus technology are integrated, and efficient intelligent synchronization and full-life-cycle privacy protection of multi-terminal office data are realized through full-process association of core parameters such as identity verification parameters, terminal weights and model errors. And meanwhile, the heterogeneous adaptation complexity of the system is reduced.

The invention relates to the technical field of electric digital data processing, and discloses an intelligent campus network security protection system. A network data acquisition module of the system continuously monitors data transmission flow of a smart campus network environment to obtain an original data packet; the chaotic encryption engine encrypts an original data packet by using a key stream based on dynamic chaotic mapping, wherein the key stream is generated by multi-chaotic system switching and a random parameter distribution mechanism; the security protocol processing module converts the encrypted data packet into a format conforming to a network security protocol standard and transmits the encrypted data packet; the data decryption unit decrypts the received encrypted data packet; the security threat analysis module identifies and estimates potential network attack behaviors according to the decrypted plaintext data; and the protection strategy controller generates and executes a network security protection instruction according to the threat analysis result. The system can effectively protect the network security of the smart campus, resist various network attacks, and ensure the security of data transmission and storage.

The invention discloses an information security data processing method based on biological characteristics and quantum enhancement, and belongs to the technical field of network and information security. Comprising the steps of collecting and preprocessing multi-dimensional biological characteristic data of a user; generating a dynamic correlation factor through weighted coupling calculation; a dynamic encryption key is generated through nonlinear coupling in combination with the quantum random number sequence; evaluating the environmental safety of the terminal by using a cognitive environmental credibility verification model; if the environment is credible, configuring a chaotic encryption parameter based on a dynamic key to encrypt target data and generate an integrity check code; and the receiving end generates a key through the same process and completes decryption and integrity verification. According to the method, the dynamic generation and'one-time pad 'of the secret key are realized, the secret key does not need to be stored, and a'biology-quantum-environment' three-in-one safety protection system is constructed by combining biological characteristic uniqueness, quantum randomness and environment credibility verification, so that the anti-cracking capability of data encryption and the adaptability of a terminal environment are effectively improved.

The invention discloses a medical image robust watermarking algorithm based on a re-parameterized high-efficiency attention network, and relates to the field of image data processing methods, and the algorithm comprises the steps: obtaining an original medical image; a pre-trained RepEA-Net model is used for extracting multi-scale deep features with good generalization performance from an original medical image, and then a mean perceptual hash algorithm is used for generating feature vectors. Obtaining an original watermark image; the watermark image is encrypted by using a Logistic chaotic encryption algorithm, the security of the watermark image is improved, and finally, the encrypted watermark image and the binary feature vector are subjected to XOR operation to generate the zero watermark. Through the innovative design of the re-parameterization efficient attention network, the contradiction among robustness, generalization and image integrity of a traditional medical image watermarking algorithm is broken through, and a solution with technical advancement and clinical practicability is provided for copyright protection and safe transmission of medical images in the medical Internet of Things.

The invention discloses an industry and trade enterprise security risk intelligent management system and method, and relates to the technical field of information security. The method comprises the following steps: firstly, obtaining a preprocessed industrial and trade enterprise original image, and segmenting to obtain a sub-original image set; updating a preset chaotic mapping parameter according to historical data to obtain an optimized parameter, and inputting the optimized parameter into mapping iteration to generate a chaotic sequence set; then, scrambling and diffusion control keys are extracted from the sequence according to a preset rule, and the two keys are used for performing data conversion and encryption on the target original sub-image to obtain an encrypted sub-image; and then, according to a preset rule, storing the sub-encrypted images in different physical positions, and finally, through a preset transmission path, transmitting a storage path and the two secret keys to a cloud end. According to the method, parameters are optimized according to historical data to improve the key suitability and security, the complexity and cracking resistance are enhanced through chaotic encryption, the leakage risk is reduced through sub-image scattered storage, and the whole-process security of enterprise production monitoring image data is comprehensively guaranteed.

The invention provides an unmanned aerial vehicle path tracking control method based on chaotic encryption and disturbance observation, and belongs to the technical field of unmanned aerial vehicle control, data encryption and interference resistance. Comprising the steps that measurement data of an aircraft is encrypted through a key stream, and the key stream is obtained through Logistic map chaotic nesting encryption, chaotic system switching and random key stream coefficient distribution; transmitting the ciphertext measurement data to a controller of the aircraft for decryption based on the communication interface; generating a control instruction according to the decrypted measurement data; a chaos encryption algorithm and a disturbance observer control strategy are combined, and the dual requirements of the VTOL-FW for measurement data secure transmission and anti-disturbance control in a dynamic flight scene are met.

The invention relates to a multifunctional intelligent communication method based on multi-modal emotion perception and dynamic encryption, and belongs to the crossing field of communication technology, artificial intelligence and information security. The method comprises the following steps: S1, extracting and fusing texts, voices and images input by a user through a multi-modal emotion recognition model in combination with historical emotion data and behavior modes in a knowledge base to analyze emotion features, and introducing an attention mechanism to perform multi-modal feature weighting to realize accurate classification of emotion types and intensities; based on a classification result, dynamically triggering a response strategy through an AI agent decision engine; and S2, through a content sensitivity analysis module, using a deep learning model to identify the sensitivity level of the chat content in real time, coordinating a plurality of encryption agents based on an MCP, dynamically adjusting the intensity of an encryption algorithm, generating a dynamic key by using a logistic chaotic encryption algorithm, constructing a multi-level key management system, and ensuring the security and efficiency of end-to-end communication.

The invention discloses a local data updating method and system in a local database, relates to the technical field of data management and security, and realizes user identity authentication by acquiring electrocardiogram and environment data through an edge computing node to generate a dynamic permission token. And then, the system verifies and authorizes a database updating request, and performs data fusion analysis by adopting federated learning and a deep neural network to ensure the security and accuracy of data updating. In the data updating process, the system uses chaotic encryption and a trusted execution environment to guarantee the confidentiality and integrity of data. And after updating, broadcasting an operation record through a block chain network, and performing auditing and rollback control by using zero-knowledge proof and a smart contract. And finally, ensuring the integrity and non-tampering property of data recovery by adopting a hash chain technology. Through multi-technology fusion, the security, reliability and efficiency of the data updating process are improved.

The invention discloses a watermark generation method and system based on artificial intelligence. The method comprises the following steps: extracting a depth characteristic spectrum of a to-be-protected model and generating a multi-scale topological code; segmenting the codes to generate a dynamic execution unit sequence, and marking decision nodes; constructing a nonlinear path containing random displacement, conditional branches, noise channels and virtual nodes; iteratively optimizing the watermark engine in stages; generating an irreversible identifier through a generative adversarial network, and fusing the dynamic sequence and the identifier to generate a confusion structure; and a watermark driving engine is generated through quantum noise compression, chaotic encryption and recursive iteration, and finally a deployable module is generated. The system comprises a feature extraction module, a path construction module, an iterative optimization module and the like. According to the method, through multi-level confusion, cross-domain fusion and active defense mechanisms, the reverse analysis resistance of watermarks is remarkably improved.

The embodiment of the invention provides a data processing method and device, a medium and a program product, and relates to the field of information security. The method comprises the following steps: processing original data through a Hash algorithm to generate first verification data; generating an encryption key through a key derivation algorithm, generating an encryption sequence through a chaotic system based on the encryption key, and combining the encryption sequence with the original data to obtain encrypted data; and decrypting the encrypted data and generating second verification data, and comparing the second verification data with the first verification data. Based on the method, multi-layer protection can be realized, and complex attacks can be resisted. When abnormal decryption is carried out, Hash verification, key derivation and chaotic encryption need to be cracked at the same time, so that the attack cost is remarkably improved, the encryption unpredictability is improved, and the accuracy of data integrity verification is ensured.

The invention relates to the technical field of image processing, in particular to an image chaotic encryption method and system based on a magnetic control memristor, and the method comprises the steps: obtaining a to-be-processed image; constructing a fractional order variable parameter hyper-chaos model through a magnetic control memristor; features of an image to be processed are used as initial parameters of the fractional order variable parameter hyper-chaos model, and a multi-dimensional key stream is dynamically generated through the fractional order variable parameter hyper-chaos model; performing preprocessing operation and blocking operation on the to-be-processed image; based on the multi-dimensional key stream, performing dual scrambling on the to-be-processed image after block processing to generate a scrambled image; performing dynamic diffusion and nonlinear confusion on the scrambled image through a fractional order difference feedback mechanism to generate a one-dimensional ciphertext vector; and remodeling the one-dimensional ciphertext vector to generate an encrypted image. According to the method, the security of the key stream can be remarkably improved, and a solid physical layer guarantee is provided for image encryption.

The application discloses a high-security-probability shaping method based on three-dimensional constellation joint shaping, applies a probability shaping (BCPU-PS) scheme based on a bit-level probability updating strategy to a three-dimensional constellation after geometric shaping, realizes probability shaping by modifying the probability distribution of bit positions of a sending end, and avoids coding and calculation complexity introduced by traditional probability shaping technology. The joint shaping technology improves the transmission rate of a signal and improves the bit error rate performance. In addition, in order to prevent the signal from being eavesdropped or tampered with during transmission, the scheme introduces a chaotic encryption technology, uses a key generated by a three-dimensional chaotic system to perform multi-layer encryption on bits, symbols and time domain subcarriers of the sending end, and thus realizes high security, large capacity and high rate signal transmission.

The invention discloses a high-dimensional chaotic key stream generation method and device based on closed-loop dynamic parameter control, a storage medium and a data chaotic encryption method. In the key stream generation method, multiple iterative mapping is performed on respective initial values through multi-stage one-dimensional chaotic mapping, and control parameters of next-stage one-dimensional chaotic mapping iteration are formed based on input of each stage of one-dimensional chaotic mapping through transformation operation. And forming a control parameter of the first-stage one-dimensional chaotic mapping iteration based on the input of the last-stage one-dimensional chaotic mapping. The device and the storage medium are used for implementing the key stream generation method. In the data chaotic encryption method, a high-dimensional chaotic key stream is generated based on the high-dimensional chaotic key stream generation method, a key is obtained based on the high-dimensional chaotic key stream, and the key and a plaintext are subjected to XOR operation to obtain chaotic encryption data. According to the method, the high-dimensional chaotic key stream under any-dimensional chaotic mapping can be constructed, the chaotic performance is remarkably improved, and the hardware cost is low.

The present invention discloses a secure communication method and system based on chaotic prediction and interleaving coding in a reserve pool. The chaotic encryption module includes a light source output by a first continuous wave laser (CW), which is modulated by a parallel quadrature modulator (IQM) to convert the signal output by an arbitrary waveform generator (AWG) for transmission. The signal is pseudo-randomly interleaved and encoded. The transmitted signal is loaded onto a chaotic carrier through a first optical coupler (FC) to achieve chaotic hiding. The chaotic optical carrier is then transmitted through an information transmission module. The chaotic optical carrier is predicted in advance by the reserve pool in the chaotic decryption module and modulated onto the continuous optical carrier output by a second continuous wave laser (CW) through a Mach-Zehnder modulator (MZM). The signal is then decrypted by a 90° mixer to initially restore the original transmitted signal. Finally, the resulting signal is processed by a local oscillator (LO) and a coherent receiver, and digital information processing (DSP) is performed to compensate, recover, and decrypt the digital signal, thereby realizing chaotic secure coherent optical communication.

The invention discloses a chaos watermark-based network attack event traceability processing method and device and a medium, and relates to the technical field of industrial Internet of Things security, and the method comprises the steps: calculating an uncertainty index of a device behavior based on real-time data, judging a potential attack behavior, and generating an attack judgment mark and an abnormal conduction path; according to the attack judgment mark and the abnormal conduction path, a chaotic encryption watermark is embedded in a control instruction sent to an actuator, and a control instruction stream carrying the watermark is obtained; the actuator responds to the control instruction stream carrying the watermark to complete operation, monitors a deviation value between an execution result and an expected physical behavior, and generates an execution deviation value and watermark feedback data; attack source coordinate information is generated based on the execution deviation value and the watermark feedback data, an attack path map is generated, and a traceability report is pushed; according to the method, the sensor real-time data is divided into the independent data sequence groups, so that the defect of the existing method in the aspect of real-time performance is overcome.

The application discloses a kind of non-coherent optical phase disturbance encryption method, device, storage medium and equipment, belong to optical communication technical field, method includes: obtaining first plaintext image and second plaintext image;Chaotic encryption is obtained by the first plaintext image by chaos system, and the key of chaotic encryption process is saved to the second plaintext image;The gray value of the first ciphertext image is mapped into pseudo-random phase map;The second plaintext image is encrypted by non-coherent image encryption as the phase map in the non-coherent image encryption process of pure phase disturbance, and the second ciphertext image is obtained;The application can improve transmission security.

The invention discloses a female endocrine metabolism intelligent monitoring method, system, device and medium, a secondary encryption mode combining improved chaotic encryption and AES encryption is adopted, an adaptive parameter adjustment mechanism is introduced into the improved chaotic encryption, chaotic system parameters are dynamically adjusted according to data block characteristics, the key space is expanded, and the encryption efficiency is improved. The encryption complexity is enhanced; and AES encryption, HTTPS protocol transmission and a CRC verification mechanism are combined, so that the security and integrity of data transmission are greatly improved, and the problem of insufficient privacy protection in the prior art is solved.

The present invention discloses an independent dual-single-sideband direct detection system based on geometric shaping and digital chaos encryption, which belongs to the field of terahertz communication. In the detection system, the external cavity laser ECL at the transmitting end generates a continuous optical carrier, which is input to the I / Q modulator. The TX-DSP module uses geometric shaping and three-dimensional multi-vortex chaotic system technology to generate two independent vector radio frequency signals of GS-QPSK and GS-NQAM, drives the I / Q modulator to modulate the input optical carrier, and after amplification, inputs it to a single-row carrier photodetector for beat frequency to obtain an independent double-sideband terahertz signal, which is input to the mixer at the receiving end for mixing with the generated local oscillator signal to achieve signal down-conversion and obtain a baseband signal; then it is input to the RX-DSP module for normalization, down-sampling, signal separation, demapping, symbol-level and bit-level decryption, and finally obtains two channels of original data to calculate the bit error rate. The present invention improves the communication capacity of the system and improves the security of independent double-sideband signal transmission.

The invention provides a security verification method and system for incremental updating of a game patch, and the method comprises the steps: generating an electromagnetic radiation characteristic spectrum according to the operation of starting the incremental updating of the game patch by a game client; generating a hardware fingerprint hash abstract according to hardware identification information of the terminal equipment, so as to bind the hardware fingerprint hash abstract with the electromagnetic radiation characteristic spectrum, and generating a composite key; performing chaotic parameter initialization processing based on the electromagnetic characteristic component and the hardware hash component of the composite key to obtain a chaotic encryption strategy corresponding to the transmission of the incremental update packet to be transmitted; generating a verification code of each encrypted data segment based on a chaotic encryption strategy; synchronously monitoring the network type of the terminal equipment in the segmented encryption process, and updating a chaotic encryption strategy so as to perform segmented encryption processing again to generate a target verification code, thereby realizing security verification in a network switching scene; according to the method and the device, multi-dimensional security verification of tampering prevention and replay attack prevention of incremental updating in a cross-network environment is realized.

The invention discloses an intelligent manufacturing data security protection method based on an electronic information encryption technology. The method comprises the following steps: S1, preprocessing original sensor data generated in an intelligent manufacturing process; s2, performing wavelet decomposition on the preprocessed original sensor to obtain a multi-scale coefficient; s3, scrambling the multi-scale coefficient obtained by wavelet decomposition through chaotic mapping; s4, performing fusion encryption on the scrambled multi-scale coefficient and an encryption key; and S5, outputting the fused and encrypted data. Therefore, by combining the multi-scale characteristic of signal processing and the unpredictability of chaotic encryption, the industrial sensor data in the intelligent manufacturing process is converted into the high-security encrypted data, the method has extremely high differential attack resistance and processing rate, the high real-time requirement of an intelligent manufacturing scene for data encryption can be met, and the method is suitable for popularization and application. The method is suitable for safety protection of industrial sensor data in an intelligent manufacturing system.

The application provides an OFDM encrypted signal PAPR suppression method and system based on a self-encoder, which comprises the following steps: collecting a data sequence of an OFDM system, splitting a complex signal of the data sequence into a real part and an imaginary part to obtain an input sequence; inputting a chaotic neural network; allowing the chaotic neural network to perform chaotic encryption on the input sequence to obtain encrypted data; inputting the encrypted data into an encoder, allowing the encoder to extract features of the encrypted data and compress the features to a low latitude to obtain a low latitude result; inputting the low latitude result into a decoder to obtain a reconstruction result; performing inverse fast Fourier transform on the reconstruction result to obtain a time domain signal; converting the time domain signal into a frequency domain form for reconstruction to recover an original signal; and restoring the data sequence according to the original signal. The application has a significant improvement in reducing the performance of an encrypted OFDM signal, and the improvement is 10.7 dB compared with a non-suppression algorithm and 2.1 dB compared with an existing PRNet scheme.

This invention discloses a method for secure encryption of medical data, relating to the field of data encryption technology. The method includes implementing access control based on security levels, acquiring original medical images after authorization verification, stacking the images into a three-dimensional cube by channels, dynamically dividing them into blocks according to security levels, generating a chaotic encryption key based on the block information, and performing encryption operations on each three-dimensional block to obtain encrypted ciphertext. By destroying pixel correlation through channel stacking and segmentation, combined with differentiated keys generated by chaotic mapping, the key space and encryption efficiency are significantly improved, effectively resisting brute-force and statistical attacks. Permutation and substitution operations enhance the randomness of the ciphertext, ensuring encryption adapts to security levels and operates in a closed loop, guaranteeing controllable access permissions, improving the targeting and security of medical image encryption, and enabling flexible access for authorized users while ensuring efficient data encryption.

The invention discloses a secure coherent optical fiber communication encryption method based on digital fingerprints and chaotic encryption. The secure coherent optical fiber communication encryption method comprises the following steps: synchronously generating a chaotic key sequence and a digital fingerprint sequence with uniqueness by using the same chaotic source; then, digital fingerprints are embedded into encrypted data streams in a physical layer in a modulation format dynamic switching mode, and digital fingerprint embedding mapping and hybrid modulation are completed; and finally, fingerprint extraction is carried out at a receiving end by calculating the constellation coset rate value of each time slot group symbol sequence, a complete digital fingerprint sequence is reformed, the reformed digital fingerprint sequence is demodulated and decrypted after being subjected to identity verification, plaintext data is recovered, and the data is sent to the receiving end. And finally realizing the integration of confidentiality protection of communication data and strong identity authentication of the communication entity.

The invention provides a chaotic encryption and control method for an aircraft instruction, and relates to the technical field of information security, and the method comprises the steps: receiving plaintext data of an aircraft control instruction, respectively injecting the plaintext data into state equations of a plurality of chaotic systems, and generating a plurality of paths of key streams; performing internal permutation operation on the multiple paths of key streams by using predefined permutation vectors respectively, and performing external interleaving operation on the multiple paths of key streams subjected to internal permutation by using an interleaving sequence specified by predefined interleaving vectors so as to combine and generate a path of composite key stream; encrypting the plaintext data by using the composite key stream to obtain a ciphertext instruction, and sending the ciphertext instruction to an aircraft control end; and at the control end, decrypting the ciphertext instruction based on a preset permutation vector and an interleaving vector, restoring the plaintext data, and generating an aircraft control signal through an output feedback control algorithm according to the decrypted plaintext data.

The invention relates to a wireless mouse data secure transmission method based on Polar codes and chaotic encryption. The wireless mouse data secure transmission method comprises the following steps: iteratively generating a dynamic key sequence through a Logistic mapping chaotic system; according to the mouse original data blocking result and the dynamic key sequence, determining a preprocessed data block; dynamically generating a channel polarization matrix according to the chaotic sequence value; according to the channel capacity characteristics and the data priority index of the channel polarization matrix, calculating the distribution priority of each bit position through a balance factor; carrying out Polar coding according to the preprocessed data block, the channel polarization matrix and the distribution priority, and carrying out superposition chaotic phase modulation to generate an encrypted signal; and performing phase demodulation on the received encrypted signal according to the synchronous chaos sequence, and recovering original data by using the reconstruction polarization matrix through a list decoding algorithm to obtain a reconstructed data block. According to the invention, the data transmission safety and reliability of the wireless mouse can be improved.

The present invention discloses an optical communication system and method based on amplitude-phase dual-dimensional chaotic encryption. In this system, light from a first laser is coupled with an optical signal through a Mach-Zehnder modulator and an optical coupler, and then split into two beams. One beam passes through a delay line, etc., and then enters the Mach-Zehnder modulator; the other beam is injected into a phase modulator. Light from a fifth laser is split into two beams by a third optical coupler, one of which passes through a reflector. The other beam is split into two beams by a fourth optical coupler, one of which is used for channel transmission; the other beam passes through a first circulator, etc., and then enters the first phase modulator. After channel transmission, the light passes through the circulator, etc., and then enters the phase modulator. The other beam passes through the phase modulator and optical coupler, splitting into two beams. One beam is connected to an optical mixer; the other beam passes through a second delay line, etc., and then enters a second Mach-Zehnder modulator. Light from a second laser passes through the second Mach-Zehnder modulator and then enters the optical mixer. Decryption is achieved through coherent detection.