221 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 coding method and device based on power domain chaotic distribution matching. The method comprises the following steps: acquiring a key initial value and to-be-sent original data; performing chaotic encryption on the key initial value through a Chua's chaotic system to generate a chaotic sequence; carrying out system conversion on the key initial value, and carrying out mapping processing according to a rule to obtain a key stream formed by a QPSK constellation diagram; performing encryption and serial-to-parallel conversion on original data in a binary form by using the chaos sequence, and then performing quadrature phase shift keying (QPSK) mapping to obtain an information stream formed by uniformly distributed QPSK constellation diagrams; respectively carrying out power distribution on the key stream and the information stream, and carrying out constellation diagram superposition on the key stream and the information stream after power distribution to form an encrypted stream of a non-uniformly distributed 16 QAM constellation diagram; and performing translation rotation on each region of the partitioned constellation diagram of the encrypted stream according to a rule, and finally realizing probabilistic shaping to obtain the PS-16QAM constellation diagram encrypted stream. The method can improve the quality of signal transmission.

The invention discloses a chaotic block encryption method and system based on model random selection, and a medium, belongs to the technical field of information security, and is used for solving the problems that an existing chaotic encryption algorithm is easy to crack and maliciously attack when being independently used, depends on internal characteristics of a nonlinear function, does not expand a secret key space, and cannot be used for encrypting a chaotic block. And the improvement of the security of the secret key is limited. The method comprises the following steps: constructing a chaotic system model library based on a preset chaotic system; the chaotic system model library comprises a plurality of chaotic subsystems; generating a secret key initial field for the original image based on binary coding; selecting a corresponding target chaotic subsystem in the chaotic system model library according to the key initial field; and encrypting the original image through the target chaos subsystem to obtain an encrypted image. The line-level image chaotic encryption algorithm is designed, and the image encryption speed is increased. And the length of the secret key is increased, the space of the secret key is expanded, and the safety of the secret key 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.

The invention relates to the technical field of nonlinear dynamics and chaotic systems, in particular to a chaotic system model construction method based on state variables and uncertain variables. Starting from the angle of combination of a state variable and an uncertain variable, a construction method with a unified form is proposed in combination with an amplitude undetermined matrix, the feasibility of the construction method is verified by using a lyapunov index definition, and the dynamic behavior change of the system under the condition that the system is influenced by unknown parameters is explored. The permutation entropy is used to explore system chaotic behavior changes caused by random natural numerical values and mathematical functions in random amplitudes, a three-dimensional continuous chaotic system model structure is used as a basis to expand into a four-dimensional state, and different complexities are used to display system complex characteristics in the four-dimensional state. A three-dimensional continuous system and a four-dimensional continuous system are applied to a classical chaotic system DNA color image encryption system. The method provided by the invention not only has theoretical innovation in the aspect of constructing a chaotic system, but also shows a relatively high practical value in practical application.

The present invention discloses a dynamic data encryption method integrating quantum state and chaotic system, which is implemented based on quantum key generated by QKD system. The QKD system includes N pairs of transmitting end and receiving end, N≥1, and the method includes the following steps: S1: preprocessing to obtain plaintext sequence; S2: introducing external disturbance signal to dynamically adjust the chaotic system and generate pseudo-random sequence; S3: obtaining key stream sequence; S4: XOR operation to obtain intermediate ciphertext; S5: generating quantum key, XOR operation to obtain final ciphertext. The present invention also discloses a dynamic data encryption device integrating quantum state and chaotic system, which is used to implement the method. The present invention realizes dynamic change of key by introducing external disturbance signal to dynamically adjust the chaotic system, solves the problem of static key being attacked, has high adaptability and flexibility, and combines quantum key for encryption at the same time, improves encryption strength based on the theoretical security of quantum state, and effectively improves the security of data encryption.

The invention discloses a dynamic S-box generation method and test system based on a spatiotemporal chaotic system, and the method comprises the steps: constructing an iteration matrix through employing a preset m sequence, and determining a coupling object index and a disturbance symbol of each grid in an iteration process; wherein each element of the iteration matrix represents a grid; performing dynamic disturbance on the initial chaotic sequence according to the coupling object index, the disturbance symbol, the index offset and the grid coordinate to obtain a dynamic chaotic sequence; initializing the two-dimensional coupling image lattice by using a dynamic chaos sequence, and carrying out iteration to obtain an iterated coupling image lattice; removing the previous N iteration results of the coupled image lattice after iteration; and performing numerical conversion on the chaotic sequence value obtained by the (N + 1) th iteration to construct an S box. According to the S box design and test method, the safety and the attack resistance of the S box are improved, and an efficient and reliable research tool can be provided for cryptography researchers.

The invention discloses a super-large-scale industrial software supply chain staged anomaly detection method based on a graph neural network, a software anomaly detection task is divided into two stages to be processed, in a rapid pollution stage, a simple model is used for rapidly learning a global anomaly mode, and the anomaly detection efficiency is improved. Possible abnormal nodes and areas are screened out; in the accurate detection stage, a more complex model is used for completing detection of abnormal nodes. Besides, the'confusion degree 'of nodes on the graph is defined according to the Lyapunov coefficient in the chaos theory, and the behavior pattern of abnormal nodes on the graph is rapidly diffused by using the rapid over-smooth'defect' of the graph neural network, so that the propagation process of the whole chaos system is simulated; in this way, the abnormal mode of the global node can be quickly learned, and candidate abnormal nodes and areas can be quickly and accurately screened out.

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 discloses an 8-bit S box construction method based on an improved genetic algorithm, and the method comprises the following steps: (1) forming a composite chaotic system through Logistic chaotic mapping and Tent chaotic mapping, and generating an initialized population; (2) designing a fitness function by combining the nonlinearity, the difference uniformity and the strict avalanche criterion of the S box; (3) designing crossover operation for ensuring bijection of the S box; (4) designing a reverse search method to search variation points, combining a hill climbing algorithm and a random search method, designing variation operation based on 2N rounds of search, carrying out two-point variation point search in the first N rounds, adopting three-point variation point search in the last N rounds, and designing a table look-up statistical method to further evaluate and optimize the property of the S box; and (5) constructing an 8-bit password S box based on an improved genetic algorithm. The method is based on the improved genetic algorithm, and the 8-bit S box with excellent cryptographic properties can be generated.

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 image encryption method based on three-dimensional chaotic mapping and Josephh replacement, which comprises the following steps of: taking an image as input of a hash function to obtain a hash value, updating a secret key by using the hash value, inputting the secret key into a three-dimensional chaotic system for iteration to obtain chaotic sequences X, Y and Z, and performing rotation operation on the image according to the value of the chaotic sequence X, then wavelet transformation is carried out on each image block, and multiple Josephh permutation of dynamic step length is carried out on the matrix after multi-scale decomposition according to the value of the chaos sequence Y; dynamically generating a mean value and a variance of Gaussian noise by using the value of the chaos sequence Z, and generating the Gaussian noise; and performing dynamic cross diffusion on the image block, controlling the diffusion direction and intensity through the chaos sequence Z, and adding the generated Gaussian noise into the image block. According to the method, the encryption process is more efficient and has better security, the anti-attack capability is improved, the visual security is better, privacy and integrity are protected, and the practical value is feasible.

The invention discloses a multispectral image encryption method and device, equipment and a medium, and relates to the technical field of image encryption, and the method comprises the steps: generating a composite chaotic sequence through employing Logistic chaotic mapping and two-dimensional sine-cosine chaotic mapping, carrying out the encryption of an original multispectral image based on the composite chaotic sequence, and obtaining an encrypted multispectral image. According to the image encryption method and device, the problems that an existing image encryption algorithm adopting a single chaotic system is low in safety and poor in attack resistance are solved, and the safety and the attack resistance are improved.

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 a novel pseudo-random number generation method based on multi-time-delay non-adjacent coupled lattices, comprising generating a chaotic sequence by cascading Logistic mapping and piecewise linear mapping (PWLCM); using an unscented Kalman filter algorithm to measure the errors of Chebyshev mapping and Logistic mapping, and compensating for the precision loss by adding random disturbances; using a time-delay time-varying function to disturb the time direction of the non-adjacent coupled mapping lattices, and solving the problems of short-period phenomenon, narrow parameter range and blank window occurring in the chaotic system by using a cascaded multiple chaos and error compensation method.

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 discloses a high-safety probability shaping method based on three-dimensional constellation joint shaping, and the method comprises the steps: applying a BCPU-PS scheme based on a bit-level probability update strategy to a three-dimensional constellation after geometric shaping, and achieving the probability shaping through modifying the probability distribution of bits of a transmitting end. Coding and calculation complexity introduced by a traditional probability shaping technology is avoided. The combined shaping technology improves the bit error rate performance while improving the signal transmission rate. Besides, in order to prevent signals from being eavesdropped or tampered in transmission, a chaotic encryption technology is introduced in the scheme, and bits, symbols and time domain subcarriers of a sending end are subjected to multi-layer encryption by using a secret key generated by a three-dimensional chaotic system, so that high-safety, large-capacity and high-speed signal transmission is realized.

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 provides a chaos image encryption method based on improved Josephus transformation and knight cruise joint scrambling, which comprises the following steps: firstly, generating a chaos pseudo-random integer sequence which is subjected to integer processing by adopting a memristor chaos system, then dividing a pixel matrix into a plurality of small cell pixel matrixes, in each cell pixel matrix, a counting starting point, a counting period and a counting direction are respectively controlled by using a chaos pseudo-random integer sequence, and block scrambling is carried out by using an improved Josephus scrambling algorithm. Then, each cell pixel matrix subjected to improved Josephus block scrambling is regarded as a checkerboard point, and a chaos pseudo-random integer sequence is utilized to control the cruise direction of the rider; the improved knight cruise algorithm and the improved Josephus scrambling algorithm are used for scrambling the image, the correlation of adjacent pixels of the scrambled image can be effectively reduced, and the global encryption effect of the image is improved; and the pixels are diffused by using the chaotic pseudo-random integer sequence which is generated by the memristor chaotic system and is subjected to integer processing, so that the security of the encrypted image is improved.

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.