87 results about "Random Number Seed" patented technology

A post-processing-based quantum random number extraction method, apparatus and device, and a computer readable storage medium, the method comprising: converting an analog signal output by a quantum entropy source into a digital signal through a preset high-speed ADC to obtain an original random number; calculating a minimum entropy according to the obtained original random number; updating a preset Toeplitz large matrix by taking the original random number as a seed so as to obtain a first random number sequence and a first extraction proportion output by the updated preset Toeplitz large matrix; according to the minimum entropy and the first extraction proportion, quantum random numbers are extracted from the first random number sequence, the technical problem that in the related technology, a Toeplitz matrix is usually generated through a pseudo-random number generator or cyclically calls stored seeds, and consequently the safety of the extracted random numbers is poor is solved, and the safety of the extracted random numbers is improved. The random number seed of the Toeplitz matrix is updated in real time by using the post-processed random number, the possibility that a random number generator is controlled and cracked by an attacker is avoided, and the security of the random number is guaranteed.

The invention discloses an encryption communication system and method based on multi-information dynamic key generation. The system comprises a sending client, a server and a receiving client, and aims to ensure high security and integrity in data transmission. And the sending client generates a random number seed through the timestamp, the user ID and the position information, and uses a random number generated by the seed as a secret key to symmetrically encrypt the content of the data packet. And the server only serves as a data transfer node, does not have a decryption function, and provides a time service to ensure that the sending and receiving clients generate matched random number sequences. And after the receiving client receives the data packet, a random number seed is generated based on the same timestamp, user ID and position information, and the same random number sequence and decryption key are generated. And verifying the data integrity. The dynamic random number seed and the secret key design ensure that the secret key is unique and unpredictable, the secret key is prevented from being intercepted or reused, and the method is suitable for large-scale data transmission with high safety requirements such as finance and government affairs.

The invention discloses an Internet of Things data transmission security enhancement method combined with quantum random number generation, which comprises the following steps of: generating a high-security and unpredictable random number seed through a quantum random number generator, and generating a dynamic binding key in combination with a unique identifier of equipment and a timestamp, the binding key is used for generating a shared session key between devices through a quantum secure handshake protocol, so that the confidentiality and integrity of data transmission are ensured, a dynamic key updating mechanism is introduced, the binding key and the session key are updated regularly, the security risk caused by long-term use of the same key is avoided, a key destruction mechanism is designed, and the security of data transmission is ensured. A session key is completely destroyed after a session is ended, a malicious attacker is prevented from recovering the key, and a standby key generation and synchronization mechanism ensures that the system can automatically switch to a standby key when key synchronization fails or communication is abnormal, so that data transmission is not affected. The method has the advantages of good expandability and high safety.

The invention belongs to the technical field of network communication, and particularly relates to an SPA single packet authentication method based on quantum cryptography, which comprises the following steps: a client and a server establish a shared quantum key pool, and the quantum key pool comprises a plurality of quantum key segments with different life cycles; the client selects one key segment in the quantum key pool, and generates a dynamic key according to the session ID and the random number seed; acquiring a data abstract according to the single packet data; generating an authentication label containing a quantum watermark according to the data abstract and the quantum random number; the client sends a data packet containing the single packet data, the authentication tag and the key fragment index to the server; the server obtains a local key fragment from a local quantum key pool according to the key fragment index, generates a local dynamic key in combination with the same session ID and the random number seed, and performs hash operation on single packet data to obtain a local authentication tag; and the server carries out authentication comparison on the local authentication tag and the received authentication tag.

The invention provides a sensitive data protection system and method based on pseudonymous encryption, and relates to the field of sensitive data protection, and the system comprises the following modules: a dynamic pseudonym generation module which is used for receiving original sensitive data in real time, and generating a dynamic pseudonym based on a quantum random number seed and a timeliness noise factor; and the regulation self-adaptive decision module is connected with the dynamic pseudonym generation module. According to the method, a quantum random number seed # imgabs0 #, a timeliness noise factor # imgabs1 # and a life cycle lt are adopted; the dynamic pseudonym is unpredictable and is short-term effective, the replay attack risk is remarkably reduced, key synthesis and data reduction are realized through an SGX secure enclave in a GDPR mode, the execution success rate of the forgotten right is ensured, and differential privacy k = 3, delta = 0.1 and Bloom Filter are adopted for desensitization in a CCPA mode, so that the reidentification risk is reduced.

The invention discloses a method for quickly searching an optimal embedding position of a large model, which is characterized by comprising the following steps of: selecting K representative samples of a data set of a task, and constructing a representative set for searching the optimal embedding position, in which K is not suitable to be too large; inputting all samples of the representative set to a multi-modal large model (MLLM) and a small model of a specific task at the same time, introducing a feature fusion module, and fusing the features of the i Transform module of the MLLM and the features of the final layer of the small model; the parameters of the small model are frozen, k-step efficient parameter fine tuning is carried out on all the parameters of the MLLM, and k is not suitable to be too large; in each step of fine tuning, solving a two-norm of a gradient vector of the parameter with respect to a loss function to obtain k gradient two-norms, and carrying out weighted summation on the k gradient two-norms to obtain fitness; the random number seeds are replaced, the second step to the fourth step are repeated, P times of repeated experiments are carried out, P should not be too large or too small, and it is preferable that P should be 3-30 times; and i is iterated in a value range from 1 to T, 2 to 5 steps are repeated in each iteration step, the average fitness of different embedding positions is obtained, i * with the maximum average fitness is finally selected as the optimal embedding position, and T is the total number of layers of the MLLM. The rapid searching method for the optimal embedding position of the large model has the advantages of being high in searching speed and high in task expansibility, and is particularly suitable for scenes where small model knowledge fusion needs to be rapidly conducted on the large model.

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.

A computer implemented method includes receiving data on which to perform elliptic curve digital signature algorithm (ECDSA) and mapping ECDSA computations from affine coordinates to projective coordinates. A complete addition formula is executed on the data with operations changing based on bits of a secret key by minimizing execution time and power consumption differences via a finite adder. Modular multiplications are executed via a finite multiplier module. At least one countermeasure selected from the group consisting of randomizing a base point, generating a secret key using a two random number seed random number generator, using a randomized secret key to generate a signature, and randomizing signature generation is executed.

The invention discloses a drainage basin monitoring network layout optimization method based on mutual information active learning. The method comprises the following steps: data processing; constructing an integrated learning prediction model composed of a plurality of LSTMs, initializing each LSTM model parameter by setting different random number seeds, and iteratively updating the model parameters; constructing a covariance matrix of prediction results of the potential monitoring points by using the trained integrated learning prediction model; on the basis of an active learning algorithm of mutual information maximization, mutual information gains of all candidate sites added into the current monitoring network are calculated, candidate points enabling the mutual information gains to be maximum are selected, and information value sorting is carried out on potential monitoring points according to the sizes of the mutual information gains; and outputting a monitoring station optimization suggestion list. According to the method, uncertainty is scientifically quantified by adopting an ensemble learning method, and global information value is evaluated by adopting a mutual information maximization strategy, so that point selection decision does not depend on subjective experience any more, but strict calculation based on data and information theory, and the scientificity of decision is remarkably improved.

The invention discloses a dynamic generation and verification system for a bidirectional authentication software license based on a national cryptographic algorithm, and the system comprises a hash unit which is used for carrying out the hash operation of a machine code to obtain a machine code hash value, and carrying out the verification of the hash code and the original data of the machine code; the encryption unit is used for encrypting the client information at the client to obtain client encrypted information; according to the random number generation and confusion unit, client software obtains a random number through a random number seed and a random number generator, and a software service provider side carries out confusion operation on the random number through a confusion algorithm to obtain a random number confusion value; and the verification unit is used for carrying out reverse obfuscation algorithm on the random number obfuscation value by the client, carrying out comparison verification on the random number obfuscation value and a random numerical value transmitted to a software service provider, reading the machine code, calculating hash, and carrying out hash verification on the machine code abstract in the license. The method has the advantages that the safety performance is high, the anti-attack capability is improved, and the flexibility of software offline authorization is improved.

The present invention provides a method and apparatus for codon sequence design based on a deep learning model. The method includes: obtaining an exogenous target amino acid sequence and generating a plurality of random number seeds, and converting the target amino acid sequence into a mathematical vector; splicing different random number seeds at the starting end of the target amino acid sequence converted into a mathematical vector to obtain multiple target amino acid sequences with different random number starts; inputting the multiple target amino acid sequences into a codon sequence generator to output multiple optimized codon sequences; and inputting the multiple optimized codon sequences into a protein expression abundance predictor to output the protein expression abundance ranking corresponding to the gene cluster to which each optimized codon sequence belongs. It is possible to design the codon sequence of a target exogenous gene by considering the context matching of the codon usage preference of a species, and it is possible to predict the protein expression level of the target exogenous gene at the bioinformatics level.

Provided are an apparatus and method for generating a true random number, where a generated true random number is used for lotteries or sweepstakes. Since a random number generation edge node is made of a large number of transparent materials and placed in a public place to provide a live broadcast service for the public, and can support an information security auditing function, a high-credibility and auditable true random number can be visually generated. Since a plurality of random number generation edge nodes can be deployed in cities in different regions at the same time, power networks and communication networks are not shared. Intelligent software and hardware devices are used to generate random numbers automatically and rapidly, so true random numbers can be reliably, quickly, massively and neutrally generated for a long time. As a random number generation center node can provide a true random number seed generation service for all the public by means of a public interface, a random number generation service can be conveniently used at a low cost for a single user.

The application belongs to the technical field of artificial intelligence, and particularly relates to a private AI model calling method and system based on encrypted data interaction, which comprises the following steps: S1, a client generates a series of structured random numbers through a key derivation function based on a main random number seed and each dimension index, encrypts an original input vector into an initial ciphertext vector by using a partial homomorphism encryption public key and the structured random numbers, generates a conditional re-encoding key pair for nonlinear calculation in the AI model, and sends a re-encoding public key to a server. The application can eliminate the confusion ciphertext, so that the server side constructs a quasi-gradient noise based on the intermediate state of the calculation process and injects the result, resisting side channel attacks on the output ciphertext; and the client can reconstruct and remove the noise, so that the lossless calling result is obtained without sacrificing any calculation accuracy, and end-to-end privacy protection of the whole model reasoning process is realized.

The embodiment of the invention provides a vehicle cloud interaction data transmission method, device and equipment, a medium and a vehicle, and relates to the technical field of data transmission. The method comprises the following steps: acquiring a dynamic key, and a VIN code and a TCODE code of a vehicle; wherein the VIN code can uniquely identify a vehicle, and the TCODE code can uniquely identify a vehicle-mounted terminal in the vehicle; on the basis of a specified random number seed, performing supplementation adjustment on the VIN code and the TCODE code to obtain a first plaintext and a second plaintext; symmetrically encrypting the first plaintext and the second plaintext according to the dynamic key to obtain a first ciphertext corresponding to the first plaintext and a second ciphertext corresponding to the second plaintext; splicing the first ciphertext and the second ciphertext to obtain a spliced ciphertext, and performing asymmetric encryption on the spliced ciphertext to obtain a third ciphertext; and determining a target key according to the specified length and the third ciphertext, and performing encryption or decryption verification on the vehicle cloud interaction data based on the target key, so that the possibility that the key is cracked and exposed can be reduced.

The invention provides an automatic construction method and system for large-scale image editing data. Generating M initial setting editing instructions according to the context general object data set; expanding the initial setting editing instruction by utilizing the basic large language model to obtain N basic expansion editing instructions; taking a real image generated by the non-AI as an anchor point, improving a diffusion model by using image filling, and generating a source image Os and a target image Qt according to the real image and the corresponding image description; operating P times of image filling to improve the diffusion model by using different random number seeds, and screening by using an automatic mixing index to filter out low-quality generation samples; the image filling improved diffusion model uses a distillation training stable diffusion framework, and the data generation speed is increased by P times.

Embodiments of the present application relate to the technical field of communication, and disclose an access method, system, electronic device and computer readable storage medium. The access method comprises: receiving a login request of a client; generating a random number seed and sending the random number seed to the client after the login request is verified successfully; receiving an access request sent by the client; wherein the access request carries a name-value pair, the name in the name-value pair is a value obtained by the client after a serialization operation on the random number seed; and the name in the name-value pair is verified, and after the verification is passed, the value in the name-value pair is determined to be legal, so that system resources can be saved while ensuring access security.

Provided in the present application are a secure multi-party computation method and an electronic device. The method comprises: a first device and a second device negotiating a pseudo-random number seed; first, in a trusted execution environment, the first device generating a random number on the basis of the pseudo-random number seed, and generating an auxiliary parameter on the basis of the random number, a first parameter Y, and a computation task corresponding to Y; then, receiving an encrypted data fragment x1 sent by the second device, and in the trusted execution environment, determining z1 on the basis of x1, Y, the auxiliary parameter and the computation task; and subsequently, sending z1 to the second device, and the second device determining a sum of M2 and z1 as a computation result of a computation task corresponding to X and Y. The technical solution provided in the present application can reduce the communication overheads during secure multi-party computation.

The present invention relates to a control method for a single vehicle lane change and merging into a convoy based on curriculum reinforcement learning. The method comprises setting reinforcement learning training courses from simple to complex according to the difficulty of the task; determining the state space and action space of the reinforcement learning based on the surrounding vehicle information and the control object obtained by the on-board sensor; and setting a reward function in a multi-dimensional and hierarchical manner according to the vehicle state and the target task to guide the vehicle to complete the pursuit and lane change and enter the convoy; building an Actor network and a Critic network, and building an environment exploration module based on the proximal policy optimization algorithm, and updating the network using the Adam optimizer; selecting a corresponding reward function for training, performing a random number seed experiment on the network after each course training, and performing a scenario test on the policy neural network finally trained by the course learning to verify the completion of the target task of the model. The present invention solves the problem of slow and difficult training convergence caused by sparse rewards in the process of single vehicles merging into a convoy under complex traffic flow scenarios.

The invention discloses an AIS weak signal blind separation robustness method for an unmanned ship, and the method comprises the following steps: 1) constructing a random signal matrix set, and generating an AIS data set simulating a real scene through random number seeds, signal source dynamic change and signal length adjustment; 2) designing a generator network fusing one-dimensional convolution and an LSTM time sequence module, extracting a space-time joint feature of the mixed signal and reconstructing a target signal; 3) establishing a multi-constraint optimization mechanism, and dynamically adjusting generator parameters by combining mean square error loss, interference suppression loss, statistical correlation loss and adversarial loss; 4) constructing a generative adversarial framework, and adopting a multi-layer perceptron discriminator to realize signal authenticity identification through cross entropy loss to form a parameter game mechanism; and 5) under a 5dB low signal-to-noise ratio condition, verifying the robust separation performance of the model in a complex multipath environment. According to the method, through adversarial training and multi-dimensional feature fusion, the blind separation precision of weak AIS signals under strong noise interference is remarkably improved.

The invention belongs to the technical field of nuclear reactor physical simulation and safety analysis, and discloses a nuclear reactor passive start-up simulation method based on a Monte Carlo method, which comprises the following steps: calculating a single sample based on a Monte Carlo direct simulation method, modifying a random number seed in an input card to obtain a plurality of calculation results of mutually independent samples, and calculating the single sample according to the calculation results. And finally, obtaining a probability distribution result of the weak neutron field through statistics. The method can accurately describe the physical process of the weak neutron field stage, and is suitable for a three-dimensional complex reactor.

This invention relates to the field of industrial control system technology and discloses a fault diagnosis method for pipe production lines based on digital twins. The method includes: providing a discrete physical state library, wherein each address mapping node maps to a feature parameter vector and a control feedforward compensation matrix; generating multi-dimensional projection basis vectors based on random number seeds and fixing them into a mapping projection matrix; mapping the feature parameter vectors to projection sequences and generating mapping feature codes using a positive / negative sign quantization criterion; reconstructing the index topology of the discrete physical state library based on the mapping feature codes; acquiring real-time feedback noise sensing signals and generating real-time mapping feature codes; matching and addressing address mapping nodes in the addressing memory interval and retrieving the corresponding matrix; and implementing control command phase deviation correction. This invention improves the physical tolerance determinism of discrete digital model addressing and eliminates control command phase lag caused by analytical calculation delays.

The invention provides a terrain city programmed generation method based on an unreal engine, a medium and equipment. The terrain city programmed generation method comprises the steps of 1, sampling Poisson Disk based on Poisson distribution and initializing terrain points based on a Voronoi diagram; step 2, calculating altitude information of mountains and hills by mixing multi-scale noise; step 3, sampling and generating surface vegetation layout information; 4, calculating a city generation area according to the topographic information; 5, calculating and generating urban road network information; 6, plot polygon information is calculated, and house and green land layout information is divided; and step 7, calculating other city decoration element information. According to the method, the random number seeds can be set to quickly generate total element contents in a large-scale scene containing terrains and cities, and dynamic adjustment is realized through parameter exposure. And a user can quickly adjust the generation effect in the parameter panel, so that the generation effect better fits the expectation, and the design efficiency and flexibility are improved.

The invention discloses a power dispatching certificate generation and verification method, device, system and equipment and a storage medium, and the generation method comprises the steps: receiving a quantum random number seed generated after a certificate application is approved, taking the quantum random number seed as an input, and employing a software and hardware collaborative architecture to execute a national secret SM2 algorithm to generate an asymmetric key pair; and performing digital signature by using an asymmetric key pair and user identity information, generating double digital certificates in combination with an SM3 algorithm, and issuing the double digital certificates to a user, a program and equipment, a signature certificate private key being only known by a client, and a private key of an encryption certificate being backed up and managed by a KMC. The invention further provides a certificate verification method based on the power dispatching security partition and the CAs and the KMCs at all levels. Partition verification is carried out on the double digital certificates through public keys stored in a trust list by two communication parties. According to the invention, the security and reliability of the power dispatching digital certificate are improved.

The embodiment of the invention provides a data communication method and device, a storage medium and electronic equipment, the method is applied to a vehicle-mounted system, the vehicle-mounted system comprises a first controller and a second controller, and the method comprises the following steps: executing a forward verification method; after the first controller verifies the first signature value, a reverse verification method is executed; after the second controller verifies the second signature value, the second controller performs data communication with the first controller, and before data communication, the first controller and the second controller perform bidirectional verification of identity information based on the random number seed and the signature value; after the identity information of the first controller and the identity information of the second controller pass verification, the first controller and the second controller conduct data communication, an attacker can be prevented from counterfeiting the identity, it is ensured that data cannot be tampered or stolen in the transmission process, and therefore the safety of data communication in the vehicle-mounted system is improved.

The invention discloses an all-digital phase-locked unit and a jitter clock signal generation method, relates to the field of semiconductor integrated circuit design, and provides the all-digital phase-locked unit aiming at the problem that the jitter characteristic of a random number source generated by a true random number at present is difficult to accurately control. The all-digital phase locking unit comprises an adjustable filtering module, a jitter control module and an output module, and adopts an all-digital form. Wherein the inherent jitter in the all-digital phase-locked unit can be controlled by presetting the gain to adjust the loop bandwidth. A random number seed is injected through a jitter control module to carry out random modulation on a control word, the bit width of random modulation is controlled by a preset jitter bit width, controllable external superposition jitter is superposed on the basis of internal inherent jitter, a complex and controllable mixed entropy source is formed, and a jitter enhanced and controllable jitter clock signal is generated. Therefore, the true random number with controllable jitter characteristic and larger information entropy is obtained according to the jitter clock signal, and the quality and the stability of the true random number are improved.

The invention discloses a performance evaluation method and device for a hardware Trojan detection algorithm, equipment and a medium, and relates to the technical field of information security, and the method comprises the steps: controlling a hardware Trojan simulation circuit to generate a first pseudo-random sequence according to a random number seed issued by an upper computer; comparing the first pseudo-random sequence with a second pseudo-random sequence issued by an upper computer to obtain a sequence comparison result; if it is judged that the hardware Trojan simulation circuit meets the preset activation condition according to the sequence comparison result, an encryption protection removal circuit in the hardware Trojan simulation circuit is enabled to replace a side channel protection design circuit in the encryption circuit to operate; performing hardware Trojan detection on the to-be-detected circuit by using the hardware Trojan detection algorithm to obtain a detection result, and performing performance evaluation on the hardware Trojan detection algorithm based on the detection result; wherein the circuit to be detected is a coupling circuit of the encryption circuit and the hardware Trojan simulation circuit. And the performance of the hardware Trojan horse detection algorithm can be evaluated more reliably.

The invention provides a random number generation circuit and method of a memory and the memory. The random number generation circuit comprises a random enable signal generation module, a clock module and a random number generation module which are connected in sequence, the random enable signal generation module is used for detecting the power-on duration of the power-on process state machine and the working duration of the charge pump circuit when the write-in operation state machine controls the write-in operation so as to obtain a random enable signal and output the random enable signal to the clock module; the clock module adjusts the frequency and phase of the random enable signal to obtain a random number seed and outputs the random number seed to the random number generation module; the random number generation module generates a random number sequence corresponding to the random number seed based on the random number seed. The unique random enable signal of the memory has excellent random characteristic, the true random number can be generated at lower cost, and the address of the to-be-scanned storage area in the memory is specified through the true random number to find out the storage unit needing to be repaired, so that the scanning randomness of the to-be-scanned storage area is improved.

The present disclosure provides a SQL statement execution method and device, system, electronic equipment and storage medium; it relates to the technical field of computers. The method comprises the following steps: obtaining a target SQL statement to be executed for a target business scenario, the target SQL statement being a concurrent SQL statement under the target business scenario and a SQL statement binding a variable; generating a random number seed, and adding a distinguishing condition to the target SQL statement according to the random number seed to obtain a plurality of corresponding SQL condition statements; the execution result of each SQL condition statement is the same as the execution result of the target SQL statement; and the plurality of SQL condition statements are executed respectively to realize concurrent execution of the target SQL statement. The present disclosure can solve the mutual exclusion lock contention problem caused by parallel execution of the same SQL statement by multiple sessions, and the access delay and system lag problem caused thereby.

The invention relates to the technical field of inverter pulse width modulation, and particularly provides a random pulse width modulation method and system and a storage medium, and the method comprises the steps: collecting an initial bus voltage and a three-phase current based on an ADC module; solving a difference between the initial bus voltage after filtering and the initial bus voltage before filtering to obtain a random number seed; calculating to obtain a random number; calculating a three-phase voltage based on the three-phase current, and performing sector judgment to obtain a maximum voltage value and a minimum voltage value in different sectors; calculating an overmodulation phase voltage based on the voltage maximum value and the voltage minimum value; calculating a common-mode voltage based on the initial bus voltage, the random number, the maximum voltage value and the minimum voltage value; injecting the common-mode voltage into the over-modulation phase voltage to obtain a three-phase modulation voltage, and performing normalization processing to obtain a modulation voltage; and carrying out carrier period distribution based on the modulation voltage to obtain conduction time of upper and lower bridge arms. The random number calculation is simplified, the carrier frequency does not need to be changed when the electromagnetic noise is reduced, and the consumed calculation resources are less.

The application discloses a kind of based on inter-information active learning's watershed monitoring network layout optimization method, comprising: data processing;Integrated learning prediction model is built by multiple LSTMs, each LSTM model parameter is initialized by setting different random seed, and model parameter is iteratively updated;The covariance matrix of the prediction result of potential monitoring point is constructed using the integrated learning prediction model trained;Based on the active learning algorithm of inter-information maximization, the inter-information gain of all candidate sites joining the current monitoring network is calculated, the candidate point with the maximum inter-information gain is selected, and the information value of potential monitoring point is sorted according to the size of inter-information gain;Output monitoring site optimization suggestion list.The application uses integrated learning method to scientifically quantify uncertainty, uses inter-information maximization strategy to evaluate global information value, so that site selection decision is no longer dependent on subjective experience, but based on data and rigorous calculation of information theory, significantly improve the scientific nature of decision-making.