48 results about "Random array" patented technology

The invention provides a binding authentication method, equipment and a medium, which are applied to the technical field of equipment authentication. The binding authentication method comprises the following steps: receiving a first verification value sent by a fingerprint module; generating a second verification value according to the hardware information of the current mainboard and the corresponding dynamic salt value; if the first verification value is the same as the second verification value, sending a random array to the fingerprint module, so that the fingerprint module performs private key signature on the random array; obtaining signature information obtained after the fingerprint module performs private key signature on the random number group, and analyzing the signature information to obtain an analysis result; and if the analysis result accords with the dynamic verification standard, controlling the fingerprint module to enter a fingerprint working mode. Therefore, an authentication mechanism of hybrid binding of the hardware information and the dynamic salt value is adopted, and hardware binding of the fingerprint module and the host is ensured; and the uniqueness and the use safety of the fingerprint module are ensured through dual protection of static authentication of the verification value and dynamic authentication of the random array.

The invention relates to a power data hybrid encryption transmission method, system and device, and a readable storage medium. The method comprises the following steps: S1, encrypting a power data plaintext by using a session key to obtain a ciphertext; s2, cutting the ciphertext into a plurality of sections of sub-ciphertexts, combining the sub-ciphertexts with unique random numbers to obtain a plurality of combinations of the sub-ciphertexts and the random numbers, and combining the random numbers to obtain a random number group; randomly sorting the plurality of sub-ciphertexts and random number combinations to obtain a random ciphertext array; s3, encrypting the session key and the random array, and performing digital signature on the random ciphertext array; s4, transmitting the encrypted random array, the session key, the random ciphertext array and the digital signature to a receiver in a parallel communication mode; s5, the receiver verifies and decrypts for many times to obtain the electric power data, the problem that data safety and data transmission efficiency cannot be considered in the existing electric power transmission process is solved, the data transmission safety is improved, and it is ensured that the transmission speed cannot be greatly reduced.

A method performed by a server for authentication at a service provider includes generating a sequence X of secret locations SLn and deceiving locations DLk associated with an image, wherein the deceiving locations DLk are associated with a random array Vi of vibrations pattern, wherein i, n, and k are integers with k smaller than n, and granting access to an electronic device to the server when taps received from the electronic device, and associated with the secret locations SLn and the deceiving locations DLk, correspond to the sequence X. Each vibration of the random array Vi of vibrations pattern is associated with a corresponding deceiving location DLk.

The invention belongs to the technical field of communication signal processing, and more specifically relates to a DOA estimation method based on self-supervised contrast learning under a non-ideal array. The invention provides a two-stage cascade DOA (direction of arrival) estimation framework. The framework is composed of two modules which are respectively a control reconstruction network (CRN) and a direction of arrival (DOA) estimation network (DEN), and the two modules are respectively a control reconstruction network (CRN) and a direction of arrival (DOA) estimation network (DEN). The CRN adopts self-supervised contrast learning to recover a covariance matrix, so that the network has robustness when facing array defects. And the DEN takes the reconstructed covariance matrix output by the CRN as input to complete a DOA estimation task. In order to improve the generalization ability of the network, non-ideal enhancement modes such as amplitude disturbance, phase disturbance and random array element shielding are introduced into a training sample, and a two-stage training strategy is adopted to optimize CRN and DEN network parameters respectively.

The secret distribution device has a true random number generation section that generates true random numbers, and a calculation section that performs secret distribution on a value obtained by multiplying k (k > 1) true random numbers from the true random number generation section, performs calculation on the inverse of one of the k true random numbers, and combines the inverse with one of the distributed values after secret distribution, and performs calculation on k sets of conversion random numbers.

The application is suitable for the technical field of image display control, and provides a display control method, a display control device and a display screen controller, which comprises the following steps: determining S different random arrays corresponding to S LED dot arrays respectively; determining the cumulative value of the values included in the random arrays to obtain the total number of time segments corresponding to each random array; for each random array, determining the time segment duration corresponding to each value included in the random array according to the display duration of a single image frame and the total number of time segments corresponding to the random array; after obtaining an image frame to be displayed, determining, for each LED dot array, whether the LED dot array is lit on the time segment corresponding to the value included in the random array corresponding to the LED dot array according to the image data corresponding to the LED dot array in the image frame and the total number of time segments. Through the above method, the probability of leaking the displayed information of the LED display screen when displaying information can be reduced.

The present invention aims to solve the problem of poor versatility or zero-point drift caused by the presence of background noise in oscilloscope sampling, which accumulates continuously during the numerical integration process, leading to distortion of the integrated waveform. The present invention provides a numerical integration method for autonomously eliminating zero-point drift of pulse signals. The present invention eliminates the DC component and random component in the oscilloscope background noise in stages. First, a random array is defined and assigned to the sampling results of the DC component in the oscilloscope background noise, thereby maintaining an integer multiple relationship between the signal and the oscilloscope vertical resolution d0. Second, by analyzing the characteristic parameters of the integrated signal and its distribution, data processing is performed to obtain a discrete signal after random component elimination. This eliminates the need for manual identification of the starting and ending points of the signal, thereby perfectly retaining the pulse signal monitored by the oscilloscope.

Embodiments of the present specification provide a data processing method and device. The method is performed by any target party in multiple parties, comprising: first acquiring two table shards corresponding to two data tables, and a target table shard corresponding to any target table in the two data tables is one of multiple secret sharing shards of the target table; then, for the target table shard, based on a primary key column sub-shard contained in the target table shard and a corresponding generated key shard, a pseudo-random array sub-shard is determined for restoring a pseudo-random array; the target table shard is subjected to permutation processing based on the pseudo-random array to obtain a corresponding sorted table shard; and then, based on two sorted table shards corresponding to the two table shards, a connection table shard is determined, which is one of multiple secret sharing shards of a primary key connection table corresponding to the two data tables.

The present disclosure relates to an image sensor and a manufacturing method therefor. The image sensor comprises at least one pixel cell, and each pixel cell comprises: a photosensitive element; and a pseudo-random array diffractive optical element (PRADOE) located in front of a light receiving side of the photosensitive element and comprising an array of unit structures oriented at a pseudo-random angle. The PRADOE is configured to cause multi-order diffraction of light to be received by the photosensitive element.

The embodiment of the invention discloses a random array sound vortex generation method, device and equipment and a storage medium, and belongs to the field of sound vortexes, and the method comprises the steps: building a sound field model from a random array to an observation plane, and determining the sound pressure distribution of ideal sound vortexes; expressing the sound pressure distribution of the ideal sound vortex by using a sparse representation basis, and generating a linear relationship between the sparse representation basis and a driving signal; establishing a relationship between the sparse coefficient and the sound pressure of the observation point by using the sensing matrix; minimizing the error between the actual sound pressure generated by the sparse coefficient through the sensing matrix and the sound pressure distribution as a target, and utilizing L1 norm penalty to make the sparse coefficient sparse to obtain an optimized sparse coefficient; and calculating according to the optimized sparse coefficient to obtain a driving signal vector. The geometric limitation of a traditional uniform circular array is broken through, and the flexibility and robustness of array design are improved. The array configuration and the number of units can be optimized for different scenes.

The invention provides a 5G gateway identity authentication method and device based on a block chain and a storage medium, and the method comprises the steps: obtaining a gateway identity token by a to-be-authenticated 5G gateway, and generating a gateway private key and a random number group based on a preset encryption algorithm; the to-be-authenticated 5G gateway performs segmented encryption on the gateway identity token according to the random number group to obtain a check code with overlapped segments; the to-be-authenticated 5G gateway generates an authentication key group according to the gateway identity token; the to-be-authenticated 5G gateway encrypts the check code according to the gateway private key, the random number group and the authentication key group to generate an authentication ciphertext, and uploads the authentication key group and the authentication ciphertext to the block chain; and the block chain carries out decryption verification and transaction registration according to the authentication key group and the authentication ciphertext, links a corresponding verification record for evidence storage after the verification is passed, and triggers the 5G core network to issue a session key to the to-be-authenticated 5G gateway.

Methods provide device authentication for an intrusion detection system implementing building automation and control network (BACnet) Master-Slave / Token-Passing (MS / TP). An authentication protocol provides countermeasures to vulnerabilities in the BACnet MS / TP physical layer by utilizing an extended message format to cloak device identifiers (IDs). Adversaries are prevented from using known device IDs to gain access to the network. An authenticating device hashes a device identifier of a device to be authenticated combined with a random number. The authenticating device receives a hash of the random number plus the device identifier from the device. The authenticating device compares the hashes and authenticates the device if the hashes match. To transmit the hash, the BACnet MS / TP frame format includes an extended header cyclic redundancy check (CRC) field having bytes reallocated from the data field of the frame format. Another countermeasure utilizes a physical unclonable function (PUF) of the device in the extended header CRC.

An encryption unit (403) that an encryption apparatus (400) includes, when a user secret key SKΓ is generated using a secret key MSK of attribute based encryption and a set of attributes Γ corresponding to a decryption-possible condition L, generates a key K and a ciphertext P corresponding to the key K by encrypting the decryption-possible condition L using, as an encryption key of the attribute based encryption, a key PK consisting of a public key MPK corresponding to the secret key MSK and a public key PQCPK of post quantum cryptography, regards a part of the ciphertext P where the decryption-possible condition L is encrypted based on a secret value as P-D, regards a part of the ciphertext P where the secret value that is shared is encrypted as P-SS, and generates K′ and P′-D by randomizing each of the key K and the P-D using a random number R, and generates a ciphertext C by encrypting data consisting of the P-D and the random number R using the public key PQCPK. Here, the P-SS, the P′-D, and the K′ are decryption-possible verification parameters corresponding to the user secret key SKΓ.

Provided is a method for measuring a DAC nonlinearity error based on a pseudo-random sequence. The method includes: numbering pseudo-random number values in a pseudo-random sequence to generate a serial number sequence; arranging the pseudo-random number values in the serial number sequence in a descending or ascending order to determine an order random array; sending the pseudo-random number values, as DAC code values, in the order random array to the DAC sequentially; determining a first differential voltage array and a second differential voltage array according to a voltage corresponding to the DAC code values and the DAC code values; and determining a nonlinearity error measurement result of the DAC according to a differential nonlinearity error test result of the DAC and an integral nonlinearity error test result of the DAC determined by the first differential voltage array and the second differential voltage array.

Bandwidth-controlled, private, multi-party joint data processing is described. When performing an nth iteration of joint data processing on service data, multiple participants separately determine a same nth identifier at the current iteration and includes sub-identifiers separately corresponding to service data of the multiple participants. The multiple participants are enabled to separately determine their respective random arrays in a predetermined trusted interaction manner and based on the nth identifier and initial seeds of the multiple participants. When a first sub-identifier exists in a correspondence between sub-identifiers and confidential data, the multiple participants separately obtain first confidential data corresponding to the first sub-identifier and perform the current iteration of joint data processing with another participant using secure multi-party computation (MPC) based on exchange of other confidential data and respective first confidential data. The first confidential data is obtained by fusing first service data and a corresponding first random number.

The present invention provides an MRAM storage array temperature self-detection method, a storage control method, and a system, belonging to the field of memory. The method comprises: allocating corresponding write error detection area addresses and read error detection area addresses to a first storage array partition; generating multiple random arrays, performing a read / write operation on each of the multiple random arrays in the first storage array corresponding to the write error detection area address, and obtaining a write error rate measurement value of the first storage array; generating a fixed array, writing the fixed array into a second storage array corresponding to the read error detection area address, performing multiple read operations, and obtaining a read error rate measurement value of the second storage array; and determining the current temperature range of the first storage array partition to which the first storage array and the second storage array belong based on a write error rate base value, a read error rate base value, a write error rate measurement value, and a read error rate measurement value.

The embodiments of the present specification provide an anonymous identity authentication method and device. According to the method, a first device generates a binary indication vector and an auxiliary vector having a predetermined relationship with the indication vector according to the sequence index of a first account in a target account set; and generates a signature value C according to the indication vector, the auxiliary vector and a private key of the first account. A first public key vector is also calculated according to a first random number selected by a verification device and a public key sequence of the target account set, and a blinding value is calculated based on the first public key vector and a random number array selected by the first device. The first device further generates a first and second group of commitment values according to the indication vector, the auxiliary vector and a challenge array and a variable value selected by the verification device. The first device provides the signature value C, the blinding value and the first and second group of commitment values to the verification device, and the verification device verifies whether the first account belongs to the target account set according to the foregoing.

The embodiment of the invention provides an interface authentication method and system based on a large model. According to the method, user key information including a user identity, a key pair, a salt value, failure time and key state information is newly established through a private key management module and is stored in a database, so that the user key information is conveniently managed; the client side assembles the request parameter based on the to-be-processed service data, the timestamp and the random number ID and generates the token by using the private key signature, so that the security is further improved; when an interface is called, replay attacks can be prevented through timestamp verification, repeated requests can be avoided through random number ID verification, use of invalid or expired secret keys can be eradicated through secret key state and invalid time verification, data can be verified not to be tampered in combination with signature verification, and all-around safety protection is formed through the multiple verification mechanisms. The whole process from key generation, request construction to interface calling verification is controlled layer by layer, risks of illegal access, data tampering and leakage and the like can be effectively resisted, and the security of the interface can be improved.

The invention discloses an image recognition method based on a hybrid resistive array and electronic equipment, and relates to the technical field of integrated circuits and memory computing. An excitation and suppression coexisting nerve processing mechanism in a biological vision system is simulated, when a voltage signal converted from an image to be recognized is applied, the resistive array can process image information in situ in parallel, the first type of resistive devices generate excitability response to forward voltage, and the second type of resistive devices generate excitation response to reverse voltage. And the second type of device generates an inhibitory response to a negative voltage, so that the contrast ratio and the boundary definition of image features are greatly enhanced, and high-specificity output current response can be generated. The problem of insufficient image recognition precision caused by lack of an inhibitory mechanism is solved, and high-accuracy image recognition is realized.

The invention relates to the technical field of Internet of Things security, in particular to a network security early warning method and system based on a supply chain, and the method comprises the following steps: when Internet of Things security terminal equipment is started, extracting a unique identifier of each software component in a self software material list, and obtaining a public key of a vulnerability information publishing center; and encrypting the unique identifier of the software component. According to the method, early warning of potential attack behaviors is realized, two different security states of only existence of vulnerabilities and utilization of the vulnerabilities can be distinguished, a drift value is combined with a timestamp and a random number, digital signature is performed by a trusted execution environment, and an unforgeable signature certification result is generated. According to the invention, a high-credibility decision basis is provided for the management platform, so that the management platform can automatically execute mitigation measures based on the confirmed equipment end evidence, the timeliness of threat response is improved, and the risk of service interruption caused by misjudgment is reduced.

The application discloses a site selection method and system of a pseudo-random array radar system and electronic equipment, and relates to the technical field of concealed pseudo-random array radars. The method comprises the following steps: determining any radar in the pseudo-random array radar system as a current radar; performing noise reduction processing on a target position according to prior information to obtain a target noise-reduced position of the current radar; obtaining an actual position of the current radar by using a Beidou differential positioning method; determining a first error value, a second error value and a third error value according to the actual position and the target noise-reduced position; and controlling the current radar to move to a preset range of the target noise-reduced position according to the first error value, the second error value, the third error value, the actual position and the target noise-reduced position, so as to complete site selection control of the current radar. The actual position of the radar is iteratively corrected, and the site selection accuracy of the pseudo-random array radar system can be improved.

The invention discloses a data credibility verification scheme based on an identification combination public key and a national secret algorithm, and belongs to the technical field of information security, the method comprises the following steps: an Internet of Things terminal generates a first random number, and signs the first random number and an Internet of Things terminal identification by using a preset private key to obtain a signature value; forming a message by the signature value, the Internet of Things terminal identifier and the first random number, and sending the message to a platform; the platform calculates a first public key according to a preset public key matrix and the Internet of Things terminal identifier; the platform performs identity verification on the Internet of Things terminal according to the first public key, and generates a second random number after the verification is passed; the platform encrypts the second random number through the first public key, generates a first ciphertext and sends the first ciphertext to the Internet of Things terminal; and the Internet of Things terminal decrypts the first ciphertext according to the preset private key to obtain the second random number. The scheme provided by the embodiment of the invention can be suitable for offline authentication of the Internet of Things terminal, and does not depend on a CA authentication chain and a root CA.

A quantum random number generator 1 comprises a light source 3 configured to emit a plurality of pulses having randomised intensity values, a combining unit 5 optically coupled to the light source and configured to generate an electrical analog signal so that a signal value of the electrical analog signal equals a combination of the intensity values of the plurality of intensity randomised pulses, and circuitry 7 configured to generate a random number from the electrical analog signal. The combining provides a more uniform intensity distribution (e.g. Figures 6 and 7), so the amount of entropy generated per clock cycle is increased (e.g. Figure 8).

The invention relates to the technical field of financial science and technology, in particular to a transaction data encryption method, device and equipment and a storage medium, and the method comprises the steps: generating initial disturbance noise based on an initialized disturbance parameter and a random number group; wherein array elements in the random array conform to uniform distribution; generating initial encrypted data based on the initial disturbance noise and transaction data; generating secondary disturbance noise based on the initialized disturbance parameter and the random number group; and generating target encrypted data based on the initial encrypted data and the secondary disturbance noise. According to the invention, the efficiency of encrypting the financial transaction data is improved.

The invention discloses a method for accurately pairing multiple robots, and belongs to the technical field of robots. Connection between the robot receiver and the remote controller is divided into primary connection, secondary connection, third connection and nth connection. In the process of establishing the connection, an encryption and decryption process, a random number generation and recombination process and a random number and mark information dual verification process are involved; the connection information sent by the method is encrypted and decrypted through an asymmetric encryption algorithm, so that the transmitted information is safe and reliable; according to the method, the mark information is formed by combining the random numbers, and the mark information is continuously updated and changed along with the change of the random numbers, so that the verification of the mark information is safer; according to the method, the receiver needs to verify the mark information and the random number, and the remote controller needs to verify the recombined feature code, so that the purpose of bidirectional verification is achieved, and the phenomenon of matching errors when a plurality of robots exist at the same time is prevented.

Provided is a method for measuring a DAC nonlinearity error based on a pseudo-random sequence. The method includes: numbering pseudo-random number values in a pseudo-random sequence to generate a serial number sequence; arranging the pseudo-random number values in the serial number sequence in a descending or ascending order to determine an order random array; sending the pseudo-random number values, as DAC code values, in the order random array to the DAC sequentially; determining a first differential voltage array and a second differential voltage array according to a voltage corresponding to the DAC code values and the DAC code values; and determining a nonlinearity error measurement result of the DAC according to a differential nonlinearity error test result of the DAC and an integral nonlinearity error test result of the DAC determined by the first differential voltage array and the second differential voltage array.

The present application relates to the technical field of Fintech, and discloses a blockchain random number generation method, which comprises: performing distributed key initialization on a random number group of all service nodes in a blockchain to obtain a random number service providing group; controlling each service node to analyze request parameters corresponding to a random number request sent by a smart contract in the blockchain to determine all target service nodes corresponding to the random number request; calculating a final random number according to the random number service providing group and each target service node, and determining a final signature result according to the final random number and each service node; and writing the final random number as a target random number back to a user contract in the blockchain based on the final signature result. The present application also discloses a blockchain random number generation device, equipment and a computer storage medium. The present application realizes that the blockchain can obtain random numbers without being limited by a single node, and can obtain random numbers suitable for most scenarios.

The application provides a question bank data processing method, device and equipment, storage medium and program product, and belongs to the technical field of data security. The method comprises the following steps: receiving request information sent by a user terminal, and obtaining an Internet protocol (IP) address in the request information; obtaining question bank data according to the request information; determining an encryption public key according to the IP address; generating a random number; encrypting the question bank data by using the encryption public key and the random number to obtain encrypted question bank data; combining the encryption public key and the random number to obtain a combined secret key; and sending the encrypted question bank data and the combined secret key to the user terminal, so that the user terminal determines a decryption private key, and decrypts the encrypted question bank data according to the decryption private key and the combined secret key to obtain the question bank data. The method solves the problem of poor effect of the data security protection mode.

The present invention discloses a two-way remote encrypted multi-system interactive communication authentication method and an operating platform, which specifically includes: receiving a first ciphertext sent by an Internet of Things device; decrypting the first ciphertext using a private key of an operating platform to obtain a decryption random number; generating a platform random number, and encrypting the platform random number with the decryption random number using a public key of the Internet of Things device to generate a second ciphertext; sending the second ciphertext to the Internet of Things device, and receiving a third ciphertext sent by the Internet of Things device; generating a platform session key based on the decryption random number and the platform random number, decrypting the third ciphertext using the platform session key to obtain a second decryption result, and verifying the second decryption result; and transmitting data to the Internet of Things device if the verification is successful.

The embodiment of the present application discloses a data processing method, device, equipment, medium and program product, which belongs to the field of big data data security technology. The method includes: generating a first-level random array according to the number of participants; sending an m-dimensional first-level random number corresponding to the main participant, the number of participants and a first instruction to the main participant device; obtaining multiple m-dimensional second-level random numbers sent by the main participant device and the second m-dimensional secret value of the main participant; sending the corresponding m-dimensional first-level random number and m-dimensional second-level random number to each slave participant device; obtaining the second m-dimensional secret value sent by the slave participant device; calculating the third m-dimensional secret value according to the second m-dimensional secret value and the first-level random array of the participant; determining the position of the maximum value of the participant secret value in the preset secret value set according to the third m-dimensional secret value to determine the maximum value; determining the participant corresponding to the maximum value as the target participant. The embodiment of the present application can improve the security and efficiency of the determination of the maximum value.