418 results about "Random sequence" patented technology

The invention relates to the technical field of data security, in particular to a data security sharing method and system. The method comprises the following steps: acquiring original shared data, carrying out reverse mapping and block marking, generating block marking data, carrying out inter-block random arrangement on the block marking data, carrying out differential disturbance simulation based on a random sequence, forming disturbance block data, and encrypting the disturbance block data by applying a progressive encryption technology. The method comprises the following steps: carrying out fragmentation storage, generating storage shared data, carrying out access monitoring on the storage shared data, collecting shared access data, and constructing an evidence chain and generating an access traceability data chain according to the data, thereby realizing the security and traceability of data sharing. According to the invention, a safer and more credible data security sharing method is realized.

The invention relates to the technical field of energy storage frequency modulation, in particular to a prediction method and system for an energy storage frequency modulation instruction, and the method comprises the steps: decomposing a frequency modulation instruction sequence Pt through VMD, and obtaining a plurality of IMF subsequences; according to the total area Sii of the current IMF sub-sequence and the test group error Wi, judging whether the current IMF sub-sequence is a false sequence or not by using an activation function; and improving the IMF sub-sequence of which the judgment result is false, and performing prediction output of a frequency modulation instruction by utilizing the improved IMF sub-sequence. The method has the advantages that false sequences possibly generated in the variational mode decomposition process can be effectively recognized and improved. According to the method, the false sequence can be accurately found out and processed by calculating the area defined by the adjacent data points in the subsequences and the X axis, the prediction error is reduced, and the prediction precision is improved. In addition, a false sequence is optimized by means of generating a random sequence, performing mirror image transformation and the like, and the response speed and the frequency modulation efficiency of the system are further improved.

The invention discloses a multi-factor network security authentication method and system based on an SDN (Software Defined Network). The method comprises the following steps: constructing a multi-dimensional authentication space comprising an identity feature dimension, a behavior feature dimension and an environment feature dimension in an SDN controller; decomposing the eigenvalues into deterministic sequence components and random sequence components by adopting a dynamic sequence decomposition method, and calculating the correlation degree of the eigenvalues among dimensions; according to the method, the stability index is calculated based on the feature stability evaluation function, the fusion authentication decision function is constructed to carry out authentication decision, safe and reliable network authentication is achieved through the technical means of multi-dimensional feature fusion analysis, dynamic sequence decomposition, self-adaptive decision and the like, and the method has high practical value.

The invention relates to a satellite communication encryption method resistant to channel interference. According to the method, satellite orbit parameters are dynamically mapped into a chaos spread spectrum sequence, an anti-interference pseudo-random sequence and a dynamically decoupled encryption key are synchronously generated based on the chaos sequence, a spread spectrum code and the key are completely isolated mathematically, chaos parameters and a channel state are hidden and embedded into a physical layer signal, and therefore the anti-interference pseudo-random sequence and the dynamically decoupled encryption key are obtained. According to the method, deep cooperation of anti-interference and encryption is achieved, the concealment and the anti-interception capability of signals in a complex channel are enhanced through chaos spread spectrum, the synchronization precision of a decryption end is guaranteed through real-time binding of a dynamic key and channel parameters, and finally synchronous improvement of the anti-interference capability and the information security is achieved in a satellite communication high-dynamic environment.

The invention provides a C / C composite material ablation morphology prediction method considering a complex microstructure, and solves the technical problem that the prediction result is not accurate enough due to the fact that the influence of the material microstructure on the ablation morphology is not fully considered in the existing prediction method. A random sequence adsorption algorithm is adopted to create C / C composite material microscopic representative volume cell elements based on a three-dimensional voxel grid, and under a finite element transient heat transfer analysis framework, ablation criteria of all components of the C / C composite material are respectively established according to temperature information and chemical reaction kinetic parameter information; and finally, C / C composite material microscopic ablation morphology prediction comprehensively considering complex microstructure characteristics is realized.

The invention discloses a pseudo-random number generation method and device based on deep learning and a medium, and relates to the field of random number generation, the method comprises the following steps: collecting built-in hardware noise of a target system, and setting the built-in hardware noise as a basic entropy source; acquiring server environment data of the target system in real time, and generating an auxiliary entropy source based on the environment data; performing normalized mixing on the basic entropy source and the auxiliary entropy source to obtain a mixed entropy pool; extracting a mixed entropy seed from the mixed entropy pool, inputting the mixed entropy seed into a trained deep learning model, and generating a pseudo-random number sequence through the deep learning model; and converting the pseudo-random number sequence into uniform distribution based on a preset distribution sequence, and carrying out randomness test on the pseudo-random number sequence through a test tool. The method can better adapt to environmental changes through the training model, and can dynamically adjust the characteristics of the generated pseudo-random number sequence according to the input data, thereby generating the pseudo-random number better meeting the current environment and application requirements.

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 an image encryption method and system based on a chaotic system, and relates to the technical field of image processing, and the method comprises the steps that the chaotic system is constructed by a cellular automaton and tent mapping combination; performing coordinate scrambling on the coordinate values of the pixel points; all the pixel points form a pixel matrix, and the pixel matrix is traversed to obtain an initial encryption matrix; a pseudo-random sequence is obtained through a chaotic system, the pseudo-random sequence is arranged into a row matrix and a column matrix, the row matrix and the column matrix are subjected to XOR operation, and a plaintext image is converted into a two-dimensional matrix; converting the initial encryption matrix into a two-dimensional encryption matrix; on the basis of a CA model of a cellular automaton, calculating and assigning pixel point values of the initial encryption matrix and the two-dimensional encryption matrix to obtain a target encryption image, and the image encryption method based on the chaotic system can solve the problems that in the prior art, an image encryption method based on the chaotic system is not sensitive to plaintext images, cannot effectively defend differential attacks, is poor in robustness, and cannot effectively defend differential attacks. And the technical problems of periodicity and generally small key space are solved.

The invention discloses a coupling type optimization method and device for energy storage frequency modulation of a super capacitor and a storage medium, and belongs to the technical field of wind power generation. The method provided by the invention integrates the polynomial coupling technology, and aims to gradually approach the dynamic change of the real wind speed, thereby improving the accuracy of wind speed prediction. A random sequence is generated through multiple iterations, an original wind speed sequence can be well fitted, the closest wind speed data is screened out, and a solid data foundation is laid for subsequent wind speed prediction; activation processing is introduced, so that the nonlinear expression capability of prediction data is enhanced, and the prediction accuracy is further improved; meanwhile, the first predicted value sequence and the second predicted value sequence are activated, the advantages of polynomial prediction and neural network prediction are combined, and the comprehensiveness and accuracy of wind speed prediction are improved.

A system and method for providing quantum entanglement-as-a-service and simultaneously producing verifiably random sequences of numbers are described. When distributing quantum entanglement between customers Alice and Bob, Alice and Bob may exchange information pertaining to a measurement basis that they respectively used when performing measurements using respective halves of entangled particles. When customer Alice, for example, determines that both Alice and Bob have performed a given measurement in a same measurement basis, said result may be used in a quantum key distribution (QKD) code. When customer Alice determines that they have not performed the given measurement in the same measurement basis, Alice may concatenate said portion of the results into a private and verifiable sequence of random numbers. Providing distributed quantum entanglement therefore results in both a QKD code between said customers and in respective private and verifiably random sequences of numbers.

The invention discloses an image virtual dyeing system based on unsupervised learning and combining a diffusion process and an autoregression model, which comprises a data preprocessing module, a random sequence mask autoregression model, a diffusion loss denoising module, a pathological consistency constraint module and an image generation module, a plurality of pixel areas of a target image are predicted by using a random sequence, pixel position dependency in an image generation process is avoided, capture of a long-range dependency relationship is enhanced, global and local features are effectively captured, local information loss is avoided, global consistency and fidelity of local details are improved, and the image quality is improved. And the quality of the image is gradually optimized through a progressive denoising process in the diffusion loss denoising module, so that the finally generated IHC image is more real, the condition distribution of each image pixel is simulated, a more continuous and smoother IHC dyed image is generated, and the problem of noise and detail loss in the conversion process is avoided.

The invention relates to the technical field of power grid frequency modulation, in particular to a prediction method and system for optimizing a frequency modulation instruction of a hybrid energy storage system, and the method comprises the steps: obtaining a proportion increment sequence and a second-order proportion increment sequence according to the ratio of adjacent data in a frequency modulation instruction sequence; obtaining a difference value increment sequence and a second-order difference value increment sequence according to a difference value between adjacent data in the frequency modulation instruction sequence; acquiring a frequency modulation instruction data range corresponding to each piece of data in the frequency modulation instruction sequence; sequentially and randomly selecting a plurality of frequency modulation instruction random sequences through a frequency modulation instruction data range corresponding to each piece of data in the frequency modulation instruction sequence, and obtaining an optimal frequency modulation instruction random sequence according to the proportion increment sequence, the second-order proportion increment sequence, the difference value increment sequence and the second-order difference value increment sequence; and performing subsequent prediction on the optimal frequency modulation instruction random sequence, and performing frequency modulation control of hybrid energy storage through predicted data. According to the invention, the accuracy of hybrid energy storage frequency modulation control is improved.

The invention relates to a fingerprint lock dynamic encryption authentication method and system and a medium. The method comprises a registration stage and an authentication stage. Wherein in the registration stage, lock body environment real-time physical parameters are collected, and a dynamic environment secret key is generated through a chaotic mapping function; acquiring a user fingerprint, identifying core and non-core feature regions, and encrypting the two types of regions by combining a dynamic environment key and a user key to generate registration encrypted fingerprint data; and dividing the data into two data fragments by using a quantum noise source true random sequence, storing the first data fragment in a local security chip, and encrypting the second data fragment and storing the encrypted second data fragment in a cloud server. In the authentication stage, environment parameters are collected in real time to generate a verification key, and the verification key is compared with a registration key; and when the two fragments are consistent, recombining the two fragments to restore the encrypted fingerprint data, authenticating the fingerprint input by the user, unlocking if the authentication succeeds, and triggering risk grading processing if the continuous failure reaches a threshold value. The overall safety and reliability of the fingerprint lock system are improved.

The present application relates to the technical field of DNA storage. Provided are a method and apparatus for encryption and coding during DNA storage, and an electronic device and a storage medium. The method for encryption and coding comprises: acquiring data to be stored, and a first random number sequence and a second random number sequence which are generated by a hyperchaotic pseudo-random sequence generator; using the first random number sequence to encrypt the data to be stored, so as to obtain source data; performing DNA Raptor coding on the source data, and introducing the second random number sequence into a DNA Raptor coding process as a random number seed, so as to obtain at least one piece of coded data; and on the basis of a DNA base mapping rule, converting each piece of coded data into a corresponding DNA sequence, and generating a target DNA sequence from the DNA sequence corresponding to each piece of coded data. The present application solves the problem in the related art of data security being not taken into consideration during DNA storage.

Disclosed are an auxiliary pilot adaptive optimization method, apparatus and device, and a medium, which relate to the technical field of wireless communications, and solve the problems of static configuration, resource waste and single function of the existing auxiliary pilot. An auxiliary pilot frequency sequence is designed into a synchronous prefix and an estimation core section, and the synchronous prefix adopts a pseudo-random sequence with high autocorrelation and is used for timing synchronization (positioning through a sequence autocorrelation peak value) and frequency synchronization (calculating frequency offset through a phase difference) in a demodulation process; the estimation core section adopts an orthogonal sequence with a low peak-to-average ratio and is used for accurate channel estimation; the double-segment sequence is connected through a preset code pattern, and it is ensured that a demodulation end can perform synchronous analysis. By sensing the channel state in real time, parameters of the auxiliary pilot frequency are dynamically adjusted, and a synchronization function is fused, so that the demodulation performance and the resource utilization rate are improved.

The invention relates to the technical field of chaotic cryptography, image encryption and information security, in particular to a multi-image encryption algorithm based on a hyper-chaotic system and computer-generated holography, which comprises the following steps: S1, generating a pseudo-random sequence for encryption by using the hyper-chaotic system; s2, preprocessing the original image based on computer-generated holography; s3, combining the generated pseudo-random sequence with the preprocessed image to realize image encryption; s4, through decryption operation corresponding to the encryption process, the original image is restored after the correct secret key is input; and S5, the decryption operation comprises inverse transformation and reconstruction operation on the encrypted image. The algorithm comprises an image preprocessing module, a hyperchaotic system module, a compressed sensing coding module, a computer-generated holographic encryption module, a decryption module and a post-processing module, the security of sensitive image data in the transmission and storage process can be ensured, and efficient and reliable guarantee is provided for sensitive image encryption in various fields.

The invention provides an image encryption method based on chaotic mapping and dynamic positioning generalized knight cruise, and the method comprises the following steps: reading a plaintext image P, and converting the plaintext image P into a pixel matrix with the size of the plaintext image P; a chaotic pseudo-random sequence is generated through three-dimensional Logistic chaotic mapping, and three integer pseudo-random sequences are obtained through integer processing and serve as parameters of a pixel matrix for a knight cruise scrambling method; two of the obtained integer pseudo-random sequences are used for controlling cruising of a rider on rows and columns respectively, so that scrambling operation is completed; and generating a chaos matrix by using a third integer pseudo-random sequence, carrying out XOR operation on the chaos matrix and the scrambled image matrix, changing an image pixel value, and completing image encryption to generate a ciphertext image C. The dynamic positioning generalized knight cruise scrambling method designed by the invention is simple in process, and the encryption efficiency can be remarkably improved.

A method and associated memory system for randomizing memory storage data. The method and system receive at a data inverter user data and meta data sequence having an inversion seed bit, determine a value for the inversion seed bit from a look up table specifying inversion seeds for different pages of data to be stored in a memory, depending on the value of the inversion seed bit, bit-flip the user data and meta data sequence except for the inversion seed bit; and regardless of bit-flipping, exclusive OR (XOR) the user data and meta data sequence with a random sequence to produce an XORed sequence for storage in the memory as randomized data.

The invention relates to the transmission and reception of non-binary error correcting code words. The transmission method includes a first modulation (56) which implements a set of q sequences comprising q−1 sequences of q−1 chips, each sequence being obtained by circular shifting of a basic pseudo-random sequence, and a partially invariant sequence, invariant to a predetermined subset of circular shifts. The first modulation (56) further implements an association between each code word symbol and a sequence of the set of sequences wherein said finite field GFq has a non-zero primitive element, the symbol zero being associated with said partially invariant sequence and a symbol equal to a power j of the primitive element, j being an integer comprised between 0 and q−2, being associated with a pseudo-random sequence determined by j circular shifts of the basic pseudo-random sequence.

Techniques are provided for securing reference signals. An example method for transmitting a signal based on a validated pseudo random sequence includes determining secure sequence validation information, generating a pseudo random sequence, validating the pseudo random sequence based on the secure sequence information, and transmitting the signal based at least in part on the validated pseudo random sequence.

The invention mainly relates to the technical field of spectral data processing, and provides a spectral processing method suitable for a convolutional neural network in order to solve the problem that the classification or objective prediction accuracy of the convolutional neural network is not high due to the fact that spectral dispersion characteristic wavelengths are difficult to capture when the convolutional neural network processes one-dimensional spectral data. The core idea of the method is as follows: setting a target sample variable, screening out a wavelength points with high correlation with the sample target variable from M wavelength points of an original spectrum through a competitive adaptive reweighting algorithm based on the target sample variable as characteristic wavelength points, and setting the characteristic wavelength points as a fixed wavelength point combination; pre-processing the original spectrum according to a plurality of pre-processing modes; sorting the pre-processed fixed wavelength point combination of each spectrum and the other M-a wavelength points according to the generated K random sequences to generate spectrum matrix data; and training the convolutional neural network based on the generated spectral matrix data.

The application provides a method and device for generating a pseudo-random sequence, an electronic device and a computer readable storage medium. The method comprises: performing AND operation and XOR operation on M bit values of a first sequence to obtain an (A+m)th bit value of the first sequence; wherein M is an integer greater than or equal to 1, and A is an integer greater than or equal to 0; and determining an mth bit value of the pseudo-random sequence according to the (A+m)th bit value of the first sequence.

The invention provides an ocean reverberation time domain waveform realization method and system based on convolution operation, and the method comprises the steps: generating a one-dimensional random number sequence meeting a random process, and the data size of the random sequence is the same as the data size of a reverberation time domain waveform to be realized; generating a sound source signal time domain waveform; performing convolution operation on the random number sequence and the sound source signal time domain waveform to obtain a stabilized time domain waveform signal subjected to reverberation intensity stabilization processing; generating an ocean reverberation intensity attenuation curve according to the reverberation intensity theoretical model; and performing intensity weighting on the stabilized time-domain waveform signal subjected to reverberation intensity stabilization processing by using the attenuation curve to obtain a reverberation time-domain waveform. The method has the advantages that cross superposition of scattering echoes of different discrete points does not need to be considered; the calculation speed is high, the requirement for the data cache capacity is small, and the amplitude and the phase of each discrete point echo and the broadening of a transmitted signal do not need to be calculated; the method is suitable for realizing reverberation time domain waveforms in various waveguide environments.

The invention discloses a load power balance regulation and control method and device based on knowledge graph and random sequence optimization, a medium and a product, and relates to the field of power system dispatching, and the method comprises the steps: constructing a power grid topology knowledge graph according to power grid physical equipment and corresponding topology connection and operation constraints; performing probability distribution fitting on the power output of the renewable energy according to the output data to obtain the output of the renewable energy; obtaining a plurality of typical output scenes; taking the state of the power grid physical equipment after fault isolation as an initial state, and constructing a random Markov decision process; searching in a state space by using an improved heuristic search algorithm by taking an initial state as a starting point, minimizing an accumulated cost function as a target, taking a hard constraint as a constraint condition and taking a topological distance as a heuristic function to obtain an optimal operation sequence; verifying the optimal operation sequence to obtain a final operation sequence; the power of the power grid is regulated and controlled; according to the invention, the fault response speed can be improved, and rapid adaptive decision in a complex scene can be realized.

This application discloses a communication method and apparatus. The method includes: A terminal device receives indication information, where the indication information indicates M combinations, and each combination includes one CS value and one comb offset value; or each combination includes a hopping value of one CS value and a hopping value of one comb offset value, where M is a positive integer. Then, the terminal device determines, based on the indication information, a first pseudo-random sequence, and a first time unit, a target CS value and a target comb offset value that correspond to a reference signal in the first time unit. Then, the terminal device sends the reference signal in the first time unit based on the target CS value and the target comb offset value.

The invention provides an anti-interference random sequence frequency hopping and frequency synchronization method and system and a storage medium, and the method comprises the steps: obtaining a communication frequency band between a master node and a slave node, dividing the communication frequency band into N intervals, selecting a frequency point in each interval through a pseudo-random sequence, and generating a mapping table; the master node performs frequency point switching communication at the first frequency fm, and the slave node performs frequency point switching communication at the second frequency fs until link communication connection is established; in response to the link communication connection established between the master node and the slave node, the master node sends the data frame of the current period to the slave node, and the slave node analyzes the data frame to complete time synchronization; a frequency hopping time interval is set, a timer is started for timing during each frequency hopping, and next frequency hopping is started when timing is completed; and indexing a target frequency point of next frequency hopping from the mapping table by using the pseudo-random number, and realizing frequency hopping and frequency synchronization of the link according to the target frequency point. According to the frequency hopping method, the anti-interference performance and the stability of the communication bandwidth can be ensured at the same time.

The invention discloses an eye pattern generation method based on pseudo sequence code modification, which comprises the following steps of: firstly, generating a pseudo sequence code as an original signal through a random sequence generator; in the equalization part, the original signal is subjected to emphasis processing at the transmitting end to enhance the high-frequency component of the signal, the signal with jitter and noise added is subjected to filtering processing at the receiving end, and finally an equalized eye pattern is generated according to the eye pattern superposition generation principle. And in the modulation part, the range of the intercepted signal is doubled, the intercepted signal is translated into a new level according to a calculation principle, an adjusted excitation signal is generated, the excitation signal is processed by a system to obtain an output response, and finally a modulated eye pattern is generated according to an eye pattern superposition generation principle. By performing targeted calculation of equalization and modulation on the pseudo sequence code used for eye pattern generation, the invention realizes the compensation of noise and jitter, and can effectively improve the signal quality and the data transmission rate.

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 universal verification method of a coding and decoding module and a related device, and the method comprises the steps: obtaining different control parameters of a to-be-tested design and key message fields and key configuration information corresponding to each control parameter, and storing the different control parameters and the key message fields and the key configuration information in a queue, each control parameter corresponding to a coding scene or a decoding scene; in response to the verification request, a test message is generated based on the queue, and the test message comprises key message fields and key configuration information corresponding to one or more control parameters in the queue; and sending the test message to the to-be-tested design and the reference model, and comparing the output of the to-be-tested design with the output of the reference model to obtain a verification result. According to the method provided by the invention, the test messages meeting different scenes of the to-be-tested design can be generated, the problems existing in a random sequence are effectively avoided, and the verification efficiency and the completeness rate are improved; the method is high in universality, and the complexity of verification of the coding and decoding module is reduced.

The invention relates to the technical field of image information security, and discloses an image encryption method and system based on DNA dynamic coding and biological hyperchaos coupling, and the method comprises the steps: firstly carrying out the blocking and zero padding preprocessing of an original image; a Logistic chaotic system and the adaptive fruit fly-parasitic wasp four-dimensional hyper-chaotic system are coupled to generate a chaotic sequence with high complexity and randomness; thirdly, dynamically selecting a DNA coding rule and a DNA operation rule by utilizing the generated chaotic sequence, and carrying out dynamic DNA coding and operation on the image data and a matrix generated by another chaotic sequence; then, performing row and column scrambling on the encrypted data by using a chaos sequence to enhance the anti-cutting capability; and finally, outputting the encrypted image. According to the method, the highly random sequence is generated by coupling the biological hyperchaotic system, and the encryption effect of one image and one secret is realized by combining the dynamically switched DNA coding and operation rules, so that the encryption security and the adaptability to different images are remarkably improved.