180 results about "Chaotic systems" patented technology

The invention discloses an aircraft control method and device based on switching chaotic system encryption and a medium, and relates to the field of data encryption, and the method comprises the steps: injecting plaintext data corresponding to measurement data sent by a sensitive device into an output equation of a chaotic system, and obtaining corresponding ciphertext data; obtaining a corresponding switching signal according to the chaotic system state variable of the basic judgment model, and switching the currently activated second chaotic system according to the switching signal; sending the ciphertext data to a control component to obtain plaintext data corresponding to the measurement data; and performing flight control on the aircraft. The characteristic that a chaotic nonlinear system is extremely sensitive to an initial value is utilized, and an encryption algorithm based on a switching chaotic system is designed and used for unmanned aerial vehicle control. According to a designed switching strategy, a switching encryption chaotic system is introduced into an encryption algorithm, so that a key stream is more random, and the security of aircraft measurement data encryption is improved.

The invention discloses a hybrid encryption and decryption method based on a chaotic system and an optical key, and the encryption method comprises the steps: generating a chaotic key through the initial information of a to-be-encrypted object and an initial key, and generating a chaotic sequence for the chaotic key through employing a five-dimensional Hamiltonian conservative chaotic system (FHCCS); scrambling and grouping the initial information according to the chaotic sequence, and selecting a corresponding diffraction distance as an optical key; generating a computer-generated hologram by adopting a layered angular spectrum method according to the diffraction distance; encrypting the computer-generated hologram by adopting the chaos sequence to obtain an optical password book; and encrypting a ciphertext of the optical password book by using the chaotic sequence to obtain a ciphertext of a final encrypted object. According to the method, an encryption mode of combining the optical key and the chaotic key is adopted, and the optical password book inherits the advantages of efficient information storage, high decryption speed, high parallelism and the like of optical encryption, and has the advantages of high shear resistance, high security and the like which are not possessed by a traditional password book.

According to the hybrid fitting FPGA technology chaotic signal generator implementation method, a memristive chaotic system with complex nonlinear characteristics such as a hyperbolic function and a natural logarithm can be efficiently generated on a resource-limited FPGA. According to the scheme, target function slope distribution is analyzed, binomial fitting is adopted for slope steep intervals, hardware architecture is optimized to reduce resource occupation, and linear fitting is adopted for slope gentle intervals to simplify implementation logic. According to the memristor chaotic system model constructed based on the hybrid strategy, an iterative operation module is integrated on a chip. Experimental verification shows that the method obviously reduces the consumption of storage resources while keeping high precision, and is particularly suitable for chaotic signal generation scenes with low power consumption and high real-time requirements.

The invention discloses a hierarchical coordinate flipping coding method, device and system based on constellation joint shaping, and the method comprises the steps: carrying out the probability shaping of an original pseudo-random binary sequence, and generating a binary sequence with non-uniform probability distribution; performing serial-parallel conversion on the binary sequence with non-uniform probability distribution, and mapping the binary sequence to a pre-generated three-dimensional constellation; the method comprises the following steps: generating four different chaotic sequences by using a secret key and a four-dimensional multiphase hyperchaotic system, encrypting subcarriers and symbols by using two of the chaotic sequences, combining the other two of the chaotic sequences into a new chaotic sequence, and performing coordinate flipping on constellation points on a three-dimensional constellation by using the new chaotic sequence to obtain a three-dimensional constellation. And completing constellation point encryption. According to the invention, the security of the communication system can be ensured, and the damage to the transmission performance can be effectively reduced.

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 an unmanned aerial vehicle control method and device based on a random key stream, and a medium, and relates to the technical field of aircraft control. The method comprises the following steps: presetting a chaos initial value for a main chaos system of an encryption end; selecting a switching strategy according to the current state component of the main chaotic system so as to switch the auxiliary chaotic system; generating a random key stream coefficient through a seed random number generator, and combining the random key stream coefficient with the chaotic initial value to obtain a private key; acquiring an aircraft measurement data plaintext, injecting the plaintext into the chaotic system, and generating a ciphertext in combination with the random key stream coefficient; transmitting the ciphertext to a decryption end, synchronizing the private key and the switching strategy at the decryption end, and restoring the plaintext; the restored plaintext is input into a state feedback controller, an anti-saturation control instruction is generated, and the state feedback controller comprises a nonlinear compensation function. According to the method, the measurement data of the aircraft is encrypted and decrypted by the chaotic system key stream, the length of the private key is expanded, and the security is improved.

The invention discloses a permanent magnet synchronous motor temperature monitoring and demagnetization early warning method based on chaotic signal injection and multi-parameter fusion. Comprising the steps of 1, generating a wide-spectrum chaotic signal based on a Lorenz chaotic system, and injecting the wide-spectrum chaotic signal into a d-axis voltage channel of a d-q-axis mathematical model of the permanent magnet synchronous motor; 2, identifying stator resistance RS and d-axis inductance Ld by using a least square method; 3, a Kalman state space model with the winding temperature Tw and the magnetic steel temperature Tm as state variables is constructed, the resistance Rs and the inductance Ld which are measured in real time are fused, the observation noise covariance R is adjusted in a self-adaptive mode, and the winding temperature Tw and the magnetic steel temperature Tm are output in a decoupling mode; step 4, establishing a motor back electromotive force model to calculate a real-time flux linkage psi f, and calculating a motor temperature rise rate # imgabs0 # through a sliding window weighted average method; and step 5, performing demagnetization risk grading early warning according to the flux linkage and the temperature rise rate of the motor.

The invention relates to the field of information security and random number generation, and discloses a pseudo-random sequence generation system based on a four-dimensional hyperchaotic system, and the system comprises a chaotic signal generation module which is used for generating a chaotic state track composed of four state variables; the numerical solution module is used for carrying out multi-step numerical integral iteration on the state variable; the signal optimization module is used for performing cross recombination, disturbance arrangement and nonlinear quantization on the state variables; the control management module is used for controlling initialization, operation time sequence and state synchronization of each module; and the output interface module is used for outputting the pseudorandom sequence. According to the method, a four-dimensional hyper-chaotic system and a double positive Lyapunov index structure are adopted as a core dynamics basis, the technical effect of improving the unpredictability of the pseudo-random sequence and the trajectory complexity is achieved, and the potential safety hazards that the dynamic behavior is single, the dependence on initial conditions is too weak and the like are effectively overcome.

The invention discloses a chaotic sequence prediction method based on a fractional order ordinary differential neural network. The method comprises the following steps: selecting a fractional order chaotic system; obtaining corresponding input-output data and constructing a training data set; selecting a neural network to construct a chaotic sequence prediction initial model, and training to obtain a chaotic sequence prediction model; and adopting the obtained chaos sequence prediction model to predict continuous chaos sequences. The invention also discloses a meteorological prediction method comprising the chaotic sequence prediction method based on the fractional order ordinary differential neural network. Through the design, implementation and training of the neural network, not only is the prediction of the chaotic sequence and the meteorological prediction realized, but also the reliability is higher, the accuracy is better, and the interpretability is better.

The invention provides a symmetric cipher optimization method and system based on chaotic mapping, and the method comprises the steps: initializing a chaotic mapping parameter, and determining an initial value and a control parameter of a chaotic system; based on the initial value and the control parameter, utilizing enhanced Logistic chaotic mapping to generate a high-randomness chaotic sequence; constructing an initial S box based on the generated enhanced Logistic chaotic sequence; and carrying out optimization and structural weakness correction on the generated initial S box. According to the method, the security of the symmetric cryptographic algorithm can be remarkably improved, the anti-attack capability of the S box is greatly enhanced, the cryptographic index of the S box is ensured, and the security guarantee in a wider application scene is realized by adjusting the size of the S box through fine granularity.

The invention discloses a multi-modal industrial defect detection method based on a chaotic neural network, and the method comprises the steps: obtaining and aligning industrial defect data of multiple modals, carrying out the feature extraction and fusion through a multi-branch neural network, and generating a unified defect feature vector; taking the feature vector as an initial condition of a preset high-dimensional chaotic system, and generating a binary hash code which is extremely sensitive to the initial condition through iterative operation; in a pre-constructed defect instance library in which historical defect hash codes and associated production data thereof are stored, rapid retrieval is performed by using the hash codes to obtain historical instances similar to the current defect, and the associated production data thereof are aggregated to perform automatic root cause analysis; according to the method, the sensitivity of a chaotic system to an initial value is utilized to amplify feature tiny differences, so that the precision and efficiency of nonlinear feature retrieval are remarkably improved, seamless integration from efficient retrieval to intelligent root cause analysis is realized, and a data closed loop from defect detection to process optimization is formed.

The invention discloses an image encryption method combining an S box and a hyper-chaotic integrated system because of continuous development of an attack technology and increasing requirements on the anti-attack capability of an encryption algorithm. Firstly, a particle swarm optimization algorithm is designed based on a fitness function considering multiple safety indexes and an S-type function inertia weight strategy to search for an S box. And the searched S box has excellent performance in the aspects of nonlinearity, difference uniformity, algebraic times, strict avalanche criterion and the like. Furthermore, a hyperchaos Chen system is taken as a core, and a hyperchaos integrated system is constructed by combining a Lorenz system and a Henon system. A three-order diffusion mechanism is adopted in the encryption process, and an S box obtained through searching of a particle swarm optimization algorithm and a chaotic sequence generated by a hyperchaotic integrated system are fully fused in first two-order diffusion so as to improve the safety and randomness of an encryption algorithm. The encryption algorithm has strong anti-noise and anti-cutting capabilities for encryption. The image encryption algorithm combining the S box and the hyper-chaos integrated system provided by the invention has relatively high security and is suitable for the field of image encryption with high requirements.

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 discloses image encryption based on combination of a grid multi-scroll conservative chaotic system and bit plane decomposition, and relates to the technical field of image encryption. According to the method, bit plane encryption is carried out on the image by constructing the multi-scroll conservative chaotic system, so that higher-level information security guarantee is realized through a complex phase space structure and rich dynamic behaviors of the multi-scroll conservative chaotic system, the complexity of the system is increased by the multi-scroll characteristic, a more flexible parameter adjustment space is also provided, and the image security is improved. And a solid foundation is laid for designing an efficient and safe encryption algorithm.

This invention discloses a phased anomaly detection method for ultra-large-scale industrial software supply chains based on graph neural networks. It divides the software anomaly detection task into two stages. In the rapid contamination stage, a simple model is used to quickly learn global anomaly patterns and filter out potential anomaly nodes and regions. In the precise detection stage, a more complex model is used to detect anomaly nodes. Furthermore, this invention defines the "disorder level" of nodes on the graph based on the Lyapunov coefficients in chaos theory and utilizes the "defect" of rapid oversmoothing in graph neural networks to rapidly propagate the behavioral patterns of anomaly nodes on the graph, simulating the propagation process of the entire chaotic system. In this way, this invention can quickly learn the global node anomaly patterns and quickly and accurately filter out candidate anomaly nodes and regions.

The invention discloses a multi-scroll chaotic attractor generation method based on fractal iteration. The method comprises the following steps: constructing a three-dimensional chaotic system; carrying out fractal iteration operation on the three-dimensional chaotic system by utilizing a fractal iteration process, and respectively taking a group of iteration operation results obtained by each iteration in the fractal iteration process as a group of different fractal chaotic sequences so as to obtain a plurality of groups of fractal chaotic sequences corresponding to different iteration times; respectively using different mapping functions to carry out mapping operation on a group of forming chaos sequences obtained by each iteration, respectively mapping and generating a group of multi-scroll chaos sequences through each mapping function, and combining each group of multi-scroll chaos sequences to obtain a corresponding multi-scroll chaos attractor; therefore, 2n multi-scroll chaotic attractors are generated through mapping. Based on the fractal theory, the chaotic system and different mapping forms, the problems of complexity and controllability of chaotic attractor generation in the prior art are solved.

The invention discloses an RGB-D video encryption and decryption method based on a hyper-chaos technology and octlet fractional order Hartley transformation, and the encryption method comprises the following steps: S1, constructing a two-dimensional hyper-chaos system ICCHM based on ICMIC chaos mapping and Chebyshev chaos mapping, and generating a random matrix and a random sequence required by encryption by using the two-dimensional hyper-chaos system ICCHM; s2, defining octlet fractional order Hartley transformation and inverse transformation of the octlet fractional order Hartley transformation; and S3, carrying out RGB-D video encryption processing. According to the method disclosed by the invention, integral encryption of RGB-D is realized, two types of data with difference can be processed at the same time, and relatively high video encryption efficiency, relatively large key space and relatively high security are achieved; in addition, the encryption key management and transmission of the method are very convenient, and common cryptographic attacks can be effectively resisted.

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.

The present application discloses a method, device, and medium for controlling a drone based on a random key stream, and relates to the field of aircraft control technology. The method includes: presetting a chaotic initial value for the main chaotic system of the encryption end; selecting a switching strategy based on the current state component of the main chaotic system to switch the auxiliary chaotic system; generating a random key stream coefficient through a seed random number generator, combining the random key stream coefficient with the chaotic initial value to obtain a private key; obtaining the plaintext of the aircraft measurement data, injecting the plaintext into the chaotic system, and generating ciphertext in combination with the random key stream coefficient; transmitting the ciphertext to the decryption end, synchronizing the private key and the switching strategy at the decryption end, and restoring the plaintext; inputting the restored plaintext into a state feedback controller to generate an anti-saturation control instruction, and the state feedback controller includes a nonlinear compensation function. The present application uses the above method to implement encryption and decryption of the aircraft's measurement data using the chaotic system key stream, extend the private key length, and improve security.

The present invention discloses a chaotic block encryption method, system and medium based on random selection of a model, which belongs to the field of information security technology and is used to solve the technical problems that the existing chaotic encryption algorithm is easily cracked and maliciously attacked when used alone, and relies on the internal characteristics of nonlinear functions, does not expand the secret key space, and has limited improvement on the security of the secret key. The method includes: based on a preset chaotic system, constructing a chaotic system model library; the chaotic system model library contains several chaotic subsystems; based on binary coding, generating a secret key initial field for the original image; according to the secret key initial field, selecting a corresponding target chaotic subsystem in the chaotic system model library; encrypting the original image through the target chaotic subsystem to obtain an encrypted image. The present invention designs a row-level image chaotic encryption algorithm to improve the image encryption speed. It also increases the secret key length, expands the secret key space, and increases the security of the secret key.

The invention discloses an image encryption method based on a novel two-dimensional integer chaotic system and binary block compressed sensing, which is suitable for being realized on embedded equipment. A two-dimensional integer chaotic system is designed, and two chaotic sequences X and Y are generated; in the compressed sensing process, a binary measurement matrix is generated by using a chaos sequence X to reduce the calculation amount when the embedded device is compressed; in order to further improve the compressed sensing efficiency, performing block processing on the original image; and performing diffusion processing on the image by using the chaos sequence Y to realize secondary encryption. The chaotic sequences X and Y generated by the two-dimensional integer chaotic system have good chaotic characteristics, and when the word length of a computer is 32, the Lyapunov exponent of the two-dimensional integer chaotic system is always more than 20. The image encryption scheme provided based on the chaotic system is high in encryption speed, the decryption quality of the obtained image is high, meanwhile, high safety performance is achieved, and common attack means can be resisted.

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 present invention discloses an encrypted optical transmission method and system based on a four-dimensional memristive conditional symmetric chaotic system and a memristive neural network, belonging to the technical field of optical transmission, including: obtaining an original sequence; generating a logistic chaotic sequence through a logistic chaotic model, and using the logistic chaotic sequence to select a certain chaotic sequence or attractor from a pre-constructed key space library through a four-dimensional memristive conditional symmetric chaotic system; inputting the original sequence and the selected chaotic sequence or attractor into the memristive neural network for exclusive-or encryption to obtain encrypted data, modulating the encrypted data and then sending it into a channel for transmission; demodulating and decrypting the received encrypted data to complete optical transmission; realizing multi-layer encryption of data, improving the security performance of optical transmission, and solving the defect that the transmission security is less considered in the prior art; further reducing the overall complexity, and being very suitable for the OFDM-PON scenario.

The invention relates to the technical field of image encryption, in particular to a chaotic image encryption method based on multi-cavity attractor features, which comprises the following steps: constructing a TDHNN model by using an activation function and a toroidal surface parameter equation; an MC-TDHNN model based on a TDHNN model is constructed by using a multi-stage step state extension method; and generating a chaos sequence by using the MC-TDHNN model, and performing scrambling operation and diffusion operation on a plaintext image by using the chaos sequence to realize plaintext image encryption. The method solves the problem that the conventional encryption means is not tightly combined with the chaotic system, the inherent randomness of the chaotic system is not fully utilized, and the encryption effect is limited.

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.

The invention provides a power grid BIM data dynamic layering encryption method based on function disturbance and chaotic mapping. According to the method, geometric information of a power grid BIM model is converted into a mathematical function set through an NURBS parameterization decomposition technology, disturbance parameters are generated through a double-chaos system, and an NURBS function set is encrypted. Local updating and tampering prevention of attribute data are achieved through a dynamic hash tree and an evidence storage technology, and safe storage, dynamic authority control and efficient updating of the BIM data of the power grid project are ensured. Compared with the prior art, the method has the advantages that the problems of encryption and analysis conflict, static key risk and insufficient compatibility caused by a traditional encryption algorithm are solved, dynamic layered encryption of the power grid BIM data is realized, and the security and availability of the data are improved.

The invention relates to the technical field of communication security, in particular to a speech encryption and decryption method based on fractional order chaotic system synchronization, which comprises the following steps of: selecting an m-dimensional fractional order chaotic system as a driving system to generate a chaotic sequence, and performing multiple XOR operations on a preprocessed speech signal and the chaotic sequence to obtain a speech signal; performing indexing and polarity scrambling on the audio signal by using a Logistic mapping sequence to complete encryption; constructing an n-dimensional response system and an error system, and designing a fractional order integral sliding mode controller to realize predefined time synchronization; after the encrypted audio is received, according to a corresponding chaotic sequence generated by a response system, inverse operation is completed for decryption reduction; predefined time synchronization of different fractional order chaotic systems is realized through a fractional order integral sliding mode controller, and high-intensity encryption and decryption are performed on voice data in combination with multiple XOR operations, polarity scrambling and index scrambling, so that the synchronization efficiency and robustness of the system are remarkably improved.

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.

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.