72 results about "Chaotic systems" patented technology

The invention provides an inter-micro-service dynamic secure communication method and device based on chaos cryptography. The method comprises the steps that a service provider instance registers a public key and chaos initial parameters to a service registration center; before calling, the service consumer instance acquires a public key and a chaos initial parameter of a target service provider instance from a service registration center; the service consumer instance performs key negotiation with the acquired public key by using a private key of the service consumer instance to determine a shared key; performing key derivation on the shared key and the chaotic initial parameter to generate an initial key; respectively using the initial keys to initialize the chaotic system so as to generate synchronous encryption key streams; and the two communication parties perform real-time stream encryption and decryption on the communication data between the micro-services by using the encryption key stream. The unpredictability of a chaotic system and modern cryptography can be combined, and a micro-service design mode is deeply integrated, so that a lightweight and high-security communication security mechanism which does not need to share a key in advance and can be adaptive to dynamic change of service is realized.

The invention discloses a key negotiation synchronization method and system for a complex satellite network, and the core of the key negotiation synchronization method is that chaotic system synchronization and neural network mutual learning synchronization are organically fused, and a dual synchronization architecture is constructed; specifically, a local field of each hidden unit of the TPM is transformed and then input into improved Logistic chaotic mapping, and then output bits of the hidden units are determined after output of the chaotic mapping is transformed through an arcsine function, so that a bidirectional feedback coupling relation is established between state updating of a neural network and evolution of a chaotic system. According to the design, the fast synchronization characteristic of the chaotic system and the mutual learning capability of the neural network are mutually promoted, the synchronization convergence speed of key negotiation is remarkably increased, meanwhile, the attack resistance of the system is enhanced by utilizing the unpredictability of chaos, and finally, on the premise that the safety is guaranteed, the key negotiation efficiency is improved. And the efficiency and the reliability of the key negotiation process of the complex satellite network are effectively improved.

This invention belongs to the field of chaotic optical communication technology and discloses a method, system, and application for estimating the time delay characteristics of a chaotic optical communication system. The chaotic signal generated by the chaotic optical communication system is transmitted from the transmitter to the receiver, and the chaotic signal is captured from the transmission link. After data acquisition, the delay characteristics of the chaotic signal in the chaotic system are directly estimated. A reservoir network is used to establish a model between the chaotic time series and the reconstructed delay series. The functional relationship between the two sequences at the correct delay characteristic parameters is analyzed, and the delay characteristics are estimated by traversing the reconstructed delay, thereby realizing the estimation of the delay characteristics of the chaotic optical communication system. This invention adopts a reservoir network modeling method, which has certain advantages and effectiveness. It can directly estimate the delay characteristic parameters from the chaotic signal of the chaotic optical communication system, further improving computational efficiency and providing a new approach for delay extraction in chaotic optical communication systems.

The application discloses a kind of improved logistic chaotic sequence hybrid measurement matrix construction method.The element of measurement matrix in the application is by the sequence with independent and identically distributed statistical properties generated by a modified logistic chaotic system, after two-level processing, it meets Bernoulli statistical distribution, satisfies the RIP criterion required to be obeyed by measurement matrix of compressive sensing technology, finally, the measurement matrix obtained by sequentially filling according to the toprizi matrix construction rule, with the randomness characteristics of chaotic deterministic system, and the measurement matrix has the advantages of low data amount required to be generated, easy to realize hardware resources etc., and the reconstruction accuracy of signal is better than random Gaussian measurement matrix.

The invention discloses an 8-bit S box construction method based on greedy random adaptive search, which comprises the following steps of: firstly, introducing a nonlinear term power function, a trigonometric function and a logarithmic function to construct a two-dimensional hyper-chaotic system TDHM on the basis of a benchmark test function Himelblau function; secondly, constructing a bijection initial S box based on a random number sequence generated by a two-dimensional hyper-chaotic system TDHM; and finally, respectively carrying out linearity and differential uniformity optimization on the S boxes of which the cryptographic properties do not meet the requirements, setting corresponding cost function values as optimization constraint conditions, selecting an optimized exchange strategy according to corresponding greedy rules, carrying out local search on the S boxes to optimize the linearity and differential uniformity of the S boxes, and carrying out optimization on the S boxes. And the password S box meeting the target condition is constructed. According to the method, the success rate of searching the S box meeting the target requirement is improved, and the average iteration frequency of the algorithm is effectively reduced.

A predefined time ZNN model design method for solving pseudo-inverse of a time-varying matrix comprises the steps that a pseudo-inverse matrix is solved based on the time-varying matrix, an error function is established, the time-varying matrix is known, and the pseudo-inverse matrix to be solved is unknown; designing a predefined time function based on a high-gain method, and introducing the predefined time function into the ZNN model; aiming at bounded noise interference in a ZNN model solving process, introducing a disturbance estimator comprising a predefined time function, and constructing a subsystem of a neural network model; a Lyapunov function is constructed for stability analysis, and a ZNN model obtained through analysis can effectively suppress noise and solve a pseudo-inverse matrix of a time-varying matrix at predefined time. And applying the predefined time ZNN model to control of the permanent magnet synchronous motor chaotic system. According to the designed predefined time ZNN model, a complex parameter adjustment process is avoided in parameter adjustment. The method has the advantages of high robustness, high calculation precision and high solving speed.

The invention discloses a multi-cascade sequence enhanced double-domain signal transmission method and system and a medium, and relates to the technical field of signal processing. The method comprises the following steps: acquiring an original signal to be transmitted and a key initial value; generating a two-dimensional chaotic sequence X and a two-dimensional chaotic sequence Y from the key initial value through a cross chaotic system; performing symbol domain masking on the original signal by using the two-dimensional chaotic sequence X to obtain a symbol domain encrypted signal; performing serial-to-parallel conversion and PAM4 mapping on the symbol domain encryption signal to obtain a mapping signal; the mapping signal is input into an FIFO register for time domain masking, and a time domain encryption signal is obtained; the clock delay of the FIFO register is controlled through the two-dimensional chaos sequence Y; and performing signal transmission on the time domain encrypted signal. According to the invention, the problems that the secret key is fixed and is difficult to update in the traditional scheme are avoided, and collaborative optimization of real-time transmission and security is realized while nanoscale processing delay is ensured.

The invention discloses a chaotic key generation method and system based on discrete exponential memristor coupling and a data encryption method. The chaotic key generation method comprises the following steps: firstly, generating a chaotic system composed of a discrete index memristor, a linear controller and one-dimensional chaotic mapping, setting initial input data of the chaotic system and initial state parameters of the discrete index memristor, and then performing multiple iterations through the chaotic system to obtain a chaotic key; and finally, constructing a chaotic key based on the chaotic sequence of each iteration. The chaotic key generation system comprises a chaotic system and a data processing module, and is used for realizing the chaotic key generation method. The data encryption method comprises the following steps: firstly, generating a chaotic key based on a chaotic key generation method, and then encrypting plaintext data to obtain encrypted data. The chaotic dynamics constructed by the method is rich in behavior and excellent in performance index, and the chaotic key constructed based on the chaotic sequence generated by the chaotic system is high in security and can adapt to different hardware signal requirements.

Aspects discussed herein may relate to methods and techniques for using a multi-step approach to automatically analyze the computer architecture using an iterative process to inject error conditions. After determining an ordered graph indicating possible failure points, the system may then inject one or more error conditions (e.g., increased latency) to determine possible effects and / or points of failure. As a result of this analysis, the system may modify analysis regarding possible error points and / or take remedial actions to avoid failure.

The invention discloses an arbitrary-dimension simplest memristor Hamilton conservative chaotic system and a construction method and application thereof, and belongs to the technical field of information security. According to the system, a voltage difference type three-terminal memristor model is firstly built, then an n-dimensional Hamilton conservative chaotic system general formula is built, the memristor model is introduced into the n-dimensional Hamilton conservative chaotic system general formula, the simplest system is obtained through the steps of element replacement, parameter setting and the like, and multi-scroll expansion can be achieved by introducing a nonlinear function. A system mathematical model is simple, the proportion of nonlinear terms is low, hardware is constructed based on an ARTIX-7 FPGA platform, a 36Q32 format fixed-point number is adopted, resource consumption is low, data throughput is high, and output sequence randomness is high. The system can be applied to the fields of artificial intelligence data enhancement and random signal generation, provides a new path for high-dimensional conservative chaotic system modeling, and is suitable for information security application of resource-limited scenes.

A data multi-protection method relates to the technical field of information security, solves the problems that a traditional encrypted image is easy to be visually identified and pointedly cracked, and a traditional steganography method is insufficient in security and steganography capacity, and comprises the following steps: reading privacy data and a carrier image, and respectively converting the privacy data and the carrier image into two-dimensional matrixes; a carrier image hash value is obtained through an SHA-256 algorithm, a one-dimensional chaotic system is constructed to generate a chaotic sequence, and three sequences are obtained through a mod function limitation range; a final encrypted image is obtained through chaotic sequence scrambling of privacy data, orthogonal moment transformation of a carrier image, data embedding and reverse transformation reconstruction in sequence and through secondary scrambling and diffusion operation. According to the scheme, the algorithm complexity is increased, and the privacy data protection security is improved.

This invention discloses a dual-encryption image protection method based on chaotic mapping and linear congruence, specifically including the following steps: S1: Obtain the image to be encrypted and convert the image into a data sequence; S2: Scramble the image sequence of the data sequence using the AES encryption algorithm to obtain the first sequence to be encrypted; S3: Construct a chaotic system to generate a chaotic sequence and map and encrypt the chaotic sequence to obtain a key sequence; S4: Perform an XOR operation on the first sequence to be encrypted and the key sequence to output the encrypted sequence.

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 application relates to encryption communication technology, and particularly discloses a construction, dynamic analysis and application method of a six-dimensional memristor hyperchaotic system. The method discovers that the new system has unique dynamic behaviors through a phase diagram, a bifurcation diagram and a Lyapunov exponent spectrum, generates symmetric coexistence cycles, chaos and hyperchaos double-wing attractors which depend on system parameters, shows extremely strong initial value sensitivity, has special symmetric extreme multistability and a memristor initial value enhancement behavior, generates symmetric four-wing attractors by adding a constant controller, shows more complexity and diversity, and finally, simulation is carried out through Multisim, the generated attractor is consistent with a phase diagram obtained through numerical simulation, and the feasibility of the new system is verified. The application has great advantages in encryption security and attack resistance.

The application relates to a chaotic system with a sine feedback control limited time synchronization model, which is mainly applied to limited time synchronization of master-slave non-autonomous chaotic systems, and is characterized in that the limited time synchronization model comprises a master non-autonomous chaotic system, a slave non-autonomous chaotic system and a sine feedback controller; wherein the output end of the master non-autonomous chaotic system is connected with the input end of the sine feedback controller, the output end of the sine feedback controller is connected with the input end of the slave non-autonomous chaotic system, and the output end of the slave non-autonomous chaotic system is connected with the input end of the sine feedback controller. The sine feedback control can make two chaotic systems reach synchronization in the shortest possible limited time. Moreover, no matter how large the input master-slave system state variable is, the sine feedback control can always output a smooth bounded control signal, so that the adverse effect on the slave system due to the too large input of the slave system can be prevented.

The invention relates to a three-dimensional image encryption method and system based on a four-dimensional hyper-chaotic system and a medium in the technical field of information security. The three-dimensional image encryption method comprises the following steps: mapping all vertexes in V into bytes to obtain an original byte matrix; a four-dimensional hyper-chaotic system is constructed, and a row and column key Kperm and a diffusion key Kdpff are generated. Firstly, scrambling is carried out through the Kperm pair, and then diffusion is carried out through the Kdpff. According to the method, grid vertex coordinates of a three-dimensional image are equivalently mapped into a two-dimensional unsigned integer matrix, on the basis, a designed four-dimensional hyperchaotic system is introduced to respectively generate a row scrambling sequence, a column scrambling sequence and a diffusion mask matrix, and scrambling and XOR diffusion processing is performed on vertex data on a byte level, so that a three-dimensional image is obtained. Therefore, while the encryption security is ensured, the encryption and decryption reversibility is high, and the method can be flexibly expanded under different file formats, different chaotic parameters and different projection strategies, and is suitable for engineering implementation and subsequent optimization.

The invention discloses a construction and implementation method of a hyperbolic tangent fractional order memristor chaotic system. The method comprises the following steps: firstly, designing a fractional order magnetic control memristor model containing a hyperbolic tangent function, and constructing a fractional order memristor chaotic system based on the model; through high-resolution order parameter scanning and in combination with Lyapunov exponent spectrum, bifurcation diagram, phase diagram and complexity analysis, rich dynamic behaviors and high sensitivity of the system under order change are revealed; a difference equation model of the system is obtained through a frequency domain approximation and discretization method, digital modeling is completed on a DSP Builder platform, and hardware description language codes executable by an FPGA are automatically generated; finally, the real-time iterative operation of the system is realized on the FPGA development board, and the physical realizability of the chaotic attractor is verified through the oscilloscope. The invention provides a high-precision and low-power-consumption hardware implementation scheme for the fractional order memristor chaotic system, and is suitable for the information security fields of secret communication, image encryption and the like.

This invention relates to the field of image encryption technology, specifically to an image encryption algorithm based on an enhanced chaotic system, comprising the following steps: S10: Generating a hash value of a color plaintext image using the SHA-256 algorithm, and using this hash value to establish the initial key of the enhanced chaotic system; S20: Iterating a chaotic sequence using the enhanced chaotic system under preset initial conditions, and using this chaotic sequence to establish the image encryption algorithm; S30: Performing a preliminary diffusion scrambling operation on the color plaintext image based on the chaotic matrix; S40: Performing a bidirectional modal diffusion operation on the image after preliminary diffusion scrambling to obtain a ciphertext image; S50: Decrypting the ciphertext image according to the reverse process of image encryption to obtain a decrypted image; This algorithm can resist various image attacks and has good security performance and encryption effect.

The invention relates to the technical field of optical fiber communication encryption, in particular to a multi-dimensional encryption method and system based on a three-dimensional Lorenz-like chaotic system, and the key point of the technical scheme is that a dynamic key is generated through Hash512 mixing, the three-dimensional Lorenz-like chaotic system is driven to carry out DNA bit encryption, encrypted bits are mapped into symbols, and Cat mapping scrambling is carried out three times, so that the dynamic key is generated; and performing constellation rotation on the scrambling symbol by using a random angle generated by chaos, and finally embedding the dynamic key into a rotation symbol sequence to form a final multi-dimensional encryption transmission sequence. According to the method, a high-complexity chaotic sequence is generated under a three-dimensional Lorenz chaotic system driven by a dynamic key through technologies of multi-dimensional encryption fusion DNA bit-level coding, Cat mapping scrambling, constellation random rotation and the like, so that the key space is greatly expanded, and the defense capability on brute force attack, differential attack and statistical analysis attack is improved; and a modular design is adopted, so that integration in an existing optical fiber coherent transceiving and DSP platform is facilitated, and the balance of high safety and low system load is realized.

The application provides a high-speed random number generator based on a conservative chaotic system and a generation method thereof. The generated random number is subjected to two commonly used random number test standards, namely, a test suite NIST SP800-22 of The National Institute of Standards and Technology and another test suite TestU01, and experimental test results can prove that the generated random bit sequence passes the randomness test. The throughput of the high-speed random number generator can reach 19 Gbps.

The invention belongs to the field of image encryption and privacy protection, particularly relates to a face region selective encryption method based on a CNN and a chaotic system, and aims to realize efficient and safe encryption of a portrait image. The method comprises the following steps: detecting a portrait image by adopting a multi-task cascade convolutional network, obtaining bounding box coordinates of a face region, segmenting the image into the face region and a non-face region according to the bounding box coordinates, and recording position information corresponding to the bounding box coordinates. And extracting a feature vector from the face region obtained by segmentation based on a convolutional neural network to generate a key, and performing multi-level encryption on the face region in combination with a three-dimensional multi-module nonlinear feedback coupling chaotic system. And generating a key stream by adopting a two-dimensional logic mapping model, and encrypting a non-face region through an XOR operation. And according to the position information, backfilling the encrypted face region data and the encrypted non-face region data to corresponding positions, and splicing to form a complete encrypted image and storing the complete encrypted image.

This invention relates to the field of nonlinear circuit technology, and more particularly to a hyper-jerk circuit with ReLU and an encryption method, comprising a ReLU memristor circuit and a hyper-jerk circuit. By changing the initial values ​​of the ReLU memristor circuit and the hyper-jerk circuit, different periodic states, stable point states, divergent states, and chaotic states are generated, exhibiting super-multi-stability behavior. This invention enables the encryption sequence of the memristor chaotic system to have higher initial value sensitivity, stronger quasi-randomness, and continuous broadband power spectrum characteristics compared to traditional chaotic systems. Applying it to image encryption can effectively increase its key space and improve its anti-decryption capability.

The invention discloses an equipment intelligent control method and device based on a chaos theory, equipment and a medium, and belongs to the technical field of equipment control. The method comprises the following steps: acquiring multi-source original data through at least two sensors associated with target equipment; performing fusion sensing operation on the multi-source original data based on a fusion sensing algorithm to obtain fusion sensing data; wherein algorithm parameters of the fusion perception algorithm are determined based on a chaos Cramer-Rao framework; inputting the fused sensing data into a nonlinear dynamic identification model to obtain chaotic feature information output by the nonlinear dynamic identification model; wherein the chaotic feature information comprises perception feature information and / or chaotic system parameters; and generating an intelligent control instruction for the target equipment based on the chaotic feature information. According to the technical scheme, the chaos theory is introduced in each link of the intelligent control process of the equipment, and the sensing precision, the response speed and the control safety of the intelligent equipment in a dynamic environment are improved.

The invention discloses a local encryption method for a vector map, which comprises the following steps of: constructing a G-tree spatial index based on original vector map data to obtain a coordinate set; establishing a fractional order five-dimensional hyperchaotic system based on the double-memristor electronic circuit; in the coordinate set, extracting a coordinate sequence needing to be encrypted and generating an initial parameter: firstly generating a random salt value, then constructing a Hash chain and calculating to obtain an initial state variable of the chaotic system; inputting an initial state variable of the chaotic system into the fractional order five-dimensional hyper-chaotic system, and iteratively solving a chaotic sequence; converting the extracted coordinate sequence into a binary sequence; performing XOR shift operation on each coordinate point in the binary sequence in combination with the de-chaos sequence to obtain a scrambled and encrypted binary encryption sequence; and performing coordinate reconstruction on the binary encryption sequence to obtain a reconstructed coordinate set, namely an encrypted vector map. According to the method, the encryption efficiency can be improved, the encryption strength is ensured, and redundant encryption on a non-sensitive area is avoided.

The present application belongs to the technical field of signal processing and detection, and specifically relates to a weak harmonic detection method based on a coupled chaotic system array, which couples the displacement and nonlinear restoring force of a Duffing system with the displacement and damping force of a Van der pol system to form a new coupled chaotic system for signal detection. The critical driving force of the coupled chaotic system is calculated by using a bifurcation diagram and a bisection method, and then the phase response interval is calculated. According to the size of the phase response interval, the coupled chaotic system array is designed, the to-be-detected signal is input, each subsystem in the array is selected, and it is judged whether the system undergoes a phase transition. If the signal makes the coupled chaotic system jump from a critical chaotic state to a large periodic state, it is indicated that the to-be-detected frequency signal exists. At this time, the amplitude of the harmonic is determined in the manner that the driving force amplitude is gradually reduced by a step size, and it is judged whether the system enters a chaotic state, so as to provide sensitivity and precision of weak harmonic detection.

The invention relates to the technical field of modern application of traditional Chinese medicine theories, and aims to solve the problem of insufficient quantitative research of the five-element theory of traditional Chinese medicine and the meridian theory under modern scientific contexts. Clinical twelve-meridian bio-electricity signals are collected, the chaos theory is used as the basis, a five-element generation-restriction mechanism is fused, and a five-dimensional nonlinear kinetic equation system is constructed; by establishing an acupuncture point-meridian-five-element two-stage mapping relation, quantitative characterization of five-element characteristic values is realized; parameter identification is completed by adopting a PSO-GA integrated optimization strategy, and chaos characteristics and evolution laws of a five-element system of a human body in healthy, sub-healthy and disease states are represented by calculating a Lyapunov index, calculating fractal dimensions, drawing a chaos bifurcation diagram, a phase diagram and the like. The method can be used for human health status assessment, provides a modeling thought for modernization of traditional Chinese medicine theories, and has clinical application value.

The invention discloses a dynamic spiral and bidirectional diffusion image encryption method based on four-dimensional chaos, and relates to the technical field of information security. Comprising the following steps: generating a high-entropy key stream related to a plaintext image based on SHA-512 Hash and a four-dimensional chaotic system; dynamically controlling the direction, the starting point and the step length of spiral traversal by using the key stream, and carrying out layered spiral scrambling on image pixels so as to damage spatial correlation; and performing forward and backward bidirectional diffusion on the scrambled image by using two independent chaotic key sequences in combination with a nonlinear feedback mechanism so as to realize confusion and diffusion of global pixel values. Through the synergistic effect of the chaotic system, the dynamic scrambling and the bidirectional diffusion, the problems that the randomness of a low-dimensional chaotic system is insufficient and the residual correlation of static scrambling and the avalanche effect of unidirectional diffusion are weak are solved, and the security, the randomness and the anti-attack capability of image encryption are remarkably improved.

The invention belongs to the field of chaotic circuits, and particularly discloses a chaotic system based on a double-charge-control memristor model, which comprises a driving force module, an integral summation reverse module and a multiplication module, the integral summation reverse module comprises a first summation circuit, a first integral circuit, a second summation circuit, a second integral circuit, a first reverse circuit and a third integral circuit, the multiplication module comprises multipliers A1-A4 and a third integral circuit, and the multiplier A3 and the multiplier A4 form a charge-controlled memristor model and are used for enhancing the nonlinearity and noise immunity of the chaotic system. According to the invention, the charge-controlled memristor model is introduced into a Van der Pol-Duffing chaotic system structure, a chaotic system circuit with complex dynamic characteristics is successfully constructed, and the circuit can be suitable for a weak signal detection scene with a low signal-to-noise ratio and high precision.

The present application relates to finite time reduced dimension observer design method and chaotic communication system, belong to information security and chaotic communication field. In view of the defects of traditional asymptotic observer slow, time is uncontrollable, sliding mode method exists chattering and message signal pollution output is difficult to construct observer, the present application establishes the chaotic drive system containing message signal embedding, constructs the equivalent system without unknown signal, designs finite time reduced dimension observer based on observer matching condition and strong observable condition. Compared with the traditional asymptotic convergence observer method, the present application can realize the complete synchronization of chaotic system within the user preset time, adopts continuous control law without chattering, and the message signal can be accurately recovered through algebraic formula. The synchronization time of the present application is controllable, the convergence speed is fast, the recovery precision is high, and the robustness is strong, which is suitable for various chaotic secure communication scenes, effectively improves the communication real-time, security and engineering practicability.

The invention discloses a multi-modal generation type artificial intelligence watermark embedding and tracing method. The method comprises the following steps: constructing a third-order nonlinear hybrid power system with fractional order Caputo derivative and time-varying Rikazi matrix closed-loop feedback at the same time; constructing a regular rattan structure which at least comprises R-Vine, C-Vine and D-Vine three-layer nesting and of which the total tree node number is not less than 4096; a finite time chaotic trajectory of a hybrid power system is subjected to spherical radial-vine Copula inverse mapping to generate an antagonistic watermark disturbance field, and meanwhile, the disturbance field is injected into an ultrahigh-dimensional singular value manifold of generative artificial intelligence output content in a nonlinear variational embedding mode. According to the method, the chaotic system and the rattan structure are combined, a watermark disturbance field with strong anti-interference is generated, effective watermark embedding and reliable traceability of the multi-mode AI content are achieved, and intellectual property ownership is guaranteed.