671 results about "Hash function" patented technology

The invention relates to the technical field of data processing and privacy protection, in particular to a data desensitization and integrity verification method and system based on a differential privacy algorithm, and aims to realize collaborative optimization of data privacy protection and integrity guarantee. Determining a total privacy budget by calculating global sensitivity, a data leakage risk coefficient and independent and joint data privacy information amount, dynamically allocating the privacy budget for a single-task or multi-task scene, and injecting noise based on an allocation result to realize differential privacy desensitization; meanwhile, a verification voucher is generated by using a hash function, a digital signature and an alliance chain, and the data integrity is ensured through signature verification, data consistency verification and block chain verification. The system comprises a data application processing module, a global sensitivity calculation module, a desensitization core processing module, a verification voucher generation module and an integrity verification module, is suitable for government affairs, enterprises and other scenes with high requirements for data privacy and integrity, and effectively improves the safety and reliability of data processing.

The invention provides a multi-party collaborative anti-quantum signature method and system based on homomorphic Hash, and relates to the technical field of digital signatures, the system comprises a plurality of participants and a verification party, and the method is specifically as follows: each participant generates a pair of public and private keys, the public key is composed of a total public key, a total signature matrix and a total Hash matrix of all participants; based on the public and private keys, all participants perform multi-party signature on the target message through a homomorphic hash function, and a generated signature is composed of total hash challenge values of all participants, total response vectors of all participants and commitment value high-order difference values of all participants; according to the signature, the verifier recovers the high order of the total commitment value, further calculates the total hash challenge value, and verifies the validity of the signature through comparison of the total hash challenge value; according to the method, multi-user collaborative signature is realized, and the security of resisting malicious opponents under a quantum computer is obtained.

The invention discloses a distributed file system metadata index optimization method based on remote direct memory access, which comprises directory metadata index based on path name hash: defining a plurality of layers of directories in a directory tree as key directories, and regarding the path as a character string. After calculation of the hash function, determining the storage position of the data in the memory of the metadata server of the distributed file system; and optimizing the memory position of the file metadata based on the popularity, namely placing the file metadata which is frequently accessed at a position adjacent to the key directory metadata to which the file metadata belongs. A metadata management module in a metadata server of the distributed file system regularly checks the popularity of the file and carries out cold and hot migration according to the situation; and client cache optimization oriented to key directory metadata: a metadata cache of a distributed file system client caches the metadata and directory entries of the key directory. Optimally assuming that the metadata and directory entries of the key directory in the cache are not invalid, and updating the cache according to the result of the next-level metadata search. According to the method, the remote reading performance of the metadata index of the distributed file system is optimized by fully utilizing the characteristic of remote direct memory access, the network transmission frequency is reduced, and the load of the metadata server is effectively reduced.

The invention discloses an authority management method and system for double-token decoupling and dynamic token mapping, and relates to the technical field of information security. According to the method, a user identity is verified in a unified identity management system; receiving the user identity identifier in the target subsystem and generating a local permission token based on the permission model; in the token mapping service, when it is detected that a mapping relation is not established, the user identity identifier, the target subsystem identifier and the time slice identifier are combined according to a preset sequence, a one-time random factor is inserted, and a mapping key is generated through two-time abstract calculation of different secure hash functions and key parameters; determining a unified expiration time based on a smaller value of the validity period of the double tokens, generating a mapping value by using the exclusive key of the target subsystem in an encryption manner, and storing the mapping value, the mapping key and the expiration time in a distributed cache in an association manner; and the validity of the identity token is verified and the corresponding local permission token is obtained during user access, so that cross-system security access is realized, permission data migration is reduced, and compatibility and security are improved.

The invention discloses a method and device for safely accessing industrial control equipment to a public test platform, and the method comprises the steps: carrying out the initialization of the public test platform, including the generation of a public and private key pair, the configuration of a digital certificate, the configuration of a Bloom filter, the selection of a hash function set matched with the Bloom filter, and the construction of a controlled resource identifier set; the public test platform receives registration information of the industrial control equipment, grants a corresponding authority to the industrial control equipment according to the registration information, generates a minimum authorized resource set corresponding to the authority, writes the minimum authorized resource set into the Bloom filter, and stores identity information of the industrial control equipment; the public testing platform performs bidirectional authentication of the public testing platform and the industrial control equipment based on an authentication request initiated by the industrial control equipment, and dynamically updates authentication information held by the public testing platform and the industrial control equipment respectively; and after the bidirectional authentication is completed, the public test platform performs access admission judgment on a resource access request initiated by the industrial control equipment by using a bloom filter based on the controlled resource identifier set and corresponding authority granted to the industrial control equipment. The invention aims to solve the problems that the current industrial control equipment in a large-scale access scene is weak in authentication anti-attack capability, a secret key is easy to leak and counterfeit, physical attack protection is insufficient, communication lacks forward and backward security, and a resource authorization mechanism does not have a fine granularity and minimum authorization principle.

The systems and methods disclosed herein orchestrate task execution among autonomous (or semi-autonomous) AI agentic models (“agents”) responsive to a received query by using a hierarchical semantic fingerprinting framework to generate semantic-aware fingerprints for the query and agents. Queries and descriptions of agent capabilities are processed by a series of hierarchical levels using locality-sensitive hash (LSH) functions, where subsequent layers encode more complex semantic information and generate longer hash values. The hash values are aggregated into a semantic fingerprint. A bloom filter cascade uses a series of increasingly accurate hierarchical bloom filters to reject agent fingerprints that differ from the query fingerprint. The remaining agent fingerprints are compared bitwise to the query fingerprint, and those closest to the query fingerprint are selected to generate a routing path for the query. Responses from the selected agents are aggregated into an output that is responsive to the input.

The invention discloses a secondary power modulus-based post-error-correction-free quantum lattice signature method, which comprises a counter, and comprises the following steps of: S1, sampling a random seed, and expanding the seed through a hash function to obtain a byte stream element I, a byte stream element II and a byte stream element III; s2, calculating and generating a public key and a private key based on the throttling element I, the byte stream element II and the byte stream element III; s3, assigning initial values to the counter and the signature, and calculating and generating a hash value I and a hash value II based on the private key and the signature message; s4, performing signature loop calculation based on the hash value I, the hash value II, the private key and the initial value of the counter to generate a legal signature final value, and returning the legal signature final value; s5, a signature verification variable is generated through calculation based on the public key and the signature final value, if the signature verification variable meets a verification condition, signature verification is passed, otherwise verification is not passed, the post-quantum lattice signature calculation efficiency, bandwidth optimization and stability are greatly improved, and a more efficient solution is provided for practical application.

The invention belongs to the technical field of artificial intelligence, and discloses an energy data acquisition encryption and privacy protection method and system. The power grid frequency deviation FREQ of a power line carrier communication system is obtained at the time of power grid data acquisition, and deviation information at different time points is combined into a random number sequence by using a hash function; a specific pulse signal is sent at a data acquisition point to obtain PLC channel pulse response CIR, a minimum mean square error estimation algorithm is used for processing, and key features such as the maximum pulse amplitude are extracted to serve as channel feature values. And then, inputting the random number sequence and the channel characteristic value into a deep reinforcement learning model trained by a large amount of historical data to generate an encryption key. And finally, encrypting the acquired energy data by adopting an AES algorithm based on the key, transmitting the energy data through an OFDM technology, and meanwhile, generating the key again according to the change of a channel characteristic value by setting a self-adaptive security mechanism. According to the method, the safety and privacy of energy data acquisition and transmission are remarkably improved.

The invention discloses an asymmetric cross-modal hash learning method for potential structure information, and relates to the technical field of cross-modal retrieval. Analyzing a sample clustering structure, sample similarity information and semantic similarity information among the multi-modal samples to obtain a projection matrix of different modals, a clustering center of a projection space, a clustering indication matrix, a mapping matrix, a discrete hash code and a calculation formula of an auxiliary variable; updating the projection matrix of each modal, the clustering center of the projection space, the clustering indication matrix, the mapping matrix, the discrete hash code and the auxiliary variable by using an iteration strategy; determining a hash function of each modal according to the discrete hash code obtained by the last iteration and the multi-modal training sample; the hash function is used for performing similarity retrieval on the query sample in the multi-modal data. According to the method, the Hash code with higher discrimination can be obtained, so that the retrieval performance of cross-modal retrieval is improved.

The invention discloses a big data measurement asset supply and demand matching and inventory optimization method, and relates to the technical field of big data processing and supply chain management. The method comprises the following steps: segmenting supply chain asset data through a hash function according to multi-dimensional attributes to generate a data fragment set, and constructing a global index tree according to the data fragment set; and monitoring the load state of the leaf nodes of the global index tree in real time, and migrating and verifying data during unbalance. And querying the global index tree, positioning fragment data associated with the query request from the uniformly distributed leaf nodes, generating a preliminary matching asset set, calculating the matching degree of each asset and the query request, and generating a resource allocation result. And updating the global index tree, and generating the latest data view representation. And adjusting the attribute weight coefficient of each dimension in the hash function, and generating optimized storage layout configuration. Irrelevant data are filtered through a neighbor algorithm, and a final matching result set is generated. Balanced storage, efficient query and accurate matching of asset data are realized, and the overall response speed and the resource utilization rate are improved.

A method for checking a video data stream having a video encoded thereinto on trustworthiness comprises: subjecting a predetermined portion of the video data stream, or data derived therefrom, to a hash function to obtain a hash value; deriving a digital signature from the video data stream; and checking whether the hash value fits to the digital signature to determine whether the video data stream is trustworthy.

Provided in the present invention are a method and system for ensuring the trustworthiness and security of cyberspace. The method comprises: step S1, on the basis of a multi-identifier network, implementing multi-identifier addressing having authentication and packet signing embedded therein; step S2, defining digital customs, a digital passport and a digital visa based on the multi-identifier network; step S3, on the basis of time data, a digital visa key and a hash function, performing calculation to obtain the digital visa based on the multi-identifier network; step S4, on the basis of the hash value of the digital visa and a cross-states passport key, performing calculation to obtain the digital passport based on the multi-identifier network; step S5, implementing the digital customs by means of a multi-identifier network router, and using and maintaining an exit border table by means of the digital customs; and step S6, by means of the digital customs, using an arrival border table to verify the digital passport, and updating the arrival border table. The present invention can effectively guarantee the trustworthiness and security of cyberspace, and enable the traceability of blockchain logs, thereby providing a better foundation for ensuring the order, rule of law and peace of cyberspace.

To discriminate a generation source of text data even after a digital watermark key has leaked.SOLUTION: In a double digital watermark system 1, a digital watermark embedding device classifies, by a first key and a hash function, a plurality of tokens generated next from a first token into a first group or a second group; receives tokens of the first group; classifies, by a second key and the hash function, a plurality of tokens generated next from a second token of a token sequence into a third group or a fourth group; and increases probabilities of tokens of the first and third groups. A digital watermark detector calculates, by the first token and the first key, the number of tokens of the first group; calculates, by the second key, the number of tokens of the third group; and determines presence or absence of first and second digital watermarks on the basis of a first score obtained by a statistical test from the calculated numbers of tokens and a total number of tokens, and a second score obtained by a statistical test from the number of tokens of the first group.SELECTED DRAWING: Figure 1

Aspects of this disclosure provide a method including establishing a wireless communications link between an access point and a wireless station. Establishing the wireless communications link comprises assigning the wireless station to an Enhanced Data Privacy (EDP) group that is associated with timing information for rotating wireless frame anonymization parameters at epoch transitions. The method further includes determining a privacy-enhanced association identifier (peAID) having a size greater than a size of an AID field that is used in one or more types of wireless frames on the wireless communications link. The method further includes generating an over- the-air AID (otaAID) to be used in the one or more types of wireless frames. Generating the otaAID comprises applying at least the peAID to a hash function. The method further includes transmitting, from the access point, a first wireless frame having the otaAID in the AID field.

The invention discloses a dynamic multimedia data hash retrieval method and system based on extensible increment, and relates to the technical field of multimedia data retrieval. The method comprises the following steps: acquiring dynamic multimedia data to be retrieved; a pre-trained Hash retrieval large model is constructed, the Hash retrieval large model is trained by taking a bit extensible Hash center as global supervision information and taking tag cosine similarity as local supervision information, and specifically, generalization feature representation of new multimedia data maintaining new and old class discrimination is obtained through forward propagation; constructing a linear mapping relationship between the generalization feature representation and the hash code, and introducing an auxiliary variable to continuously update the hash function without playback; and utilizing the trained Hash retrieval large model to generate a query Hash code for the dynamic multimedia data to be retrieved, and utilizing the query Hash code to retrieve. According to the method, low memory occupation, high updating efficiency and non-forgetting retrieval of the dynamic multimedia data stream in the open environment are realized.

The invention discloses a diffusion-scrambling-diffusion image encryption method and system, and relates to the technical field of image encryption, and the method comprises the steps: inputting an original image into a hash function, constructing a hash vector, calculating an initial parameter of a chaotic system according to a key value, and generating a chaotic sequence; performing zero filling on the original image, dividing the original image into non-overlapping image blocks, and performing forward and reverse bidirectional cyclic shift operation to obtain a diffused first encrypted image; generating an initial position and a jump step length of a Josephus ring based on a chaos sequence, and dynamically rearranging the first encrypted image to obtain a second encrypted image; performing image block grouping on the second encrypted image, constructing a Latin square matrix by using a chaos sequence, and performing rearrangement to obtain a third encrypted image; and performing global exclusive-or diffusion, DNA coding, base exclusive-or operation and DNA decoding operation on the third encrypted image, and outputting a final encrypted image. The method has good reversibility and simplicity and convenience in implementation.

The application provides a new physical layer encryption and authentication cooperation security method, solves the problem that the ability of encryption technology to resist differential attack depends on the rapid update of a key; at a sending end, a hash function is used to generate an encryption sequence by using the key and the digital features of information, and the information is subjected to the action of the encryption sequence; the encryption sequence will greatly change when the key is unchanged and the information changes, and the digital features of the information before and after encryption remain unchanged; at a receiving end, the received information can be used to regenerate a decryption sequence by using the digital features of the information and the key before decryption, and the decryption sequence is used for decryption; the requirement of key update is greatly reduced, and the rate requirement and the cost of key generation and distribution are reduced. The generation of the digital label required by the authentication does not depend on the ciphertext itself or the plaintext itself, but uses the same signal digital features, the key and the hash function as when the encryption sequence is generated, and better cooperation is achieved, that is, the cooperation realizes the physical layer security, prevents eavesdropping and attack.

The invention is suitable for the technical field of text management, and particularly relates to a security processing method and system for big data, and the method comprises the steps: setting a plurality of common characters, selecting text data needing to be subjected to security processing, traversing the first appearance position of each common character, calculating the character bit order, integrating all the character bit orders, and carrying out security processing on the text data. Generating identifiers, wherein each piece of text data corresponds to one identifier; the method comprises the following steps: creating text data, creating child nodes in one-to-one correspondence with the text data, writing identifiers into the child nodes, selecting a hash function, performing pairwise hash on adjacent child nodes to obtain a plurality of first hash values, creating a plurality of levels of father nodes, writing the first hash values into the father nodes, and mounting the corresponding child nodes into the father nodes. By intercepting the state snapshot, lightweight storage can be carried out on the Hash tree, the storage burden is further reduced, and the safety processing efficiency and tamper-proofing capability of the text data are greatly improved.

The invention discloses a high-dimensional data retrieval method based on distributed computing and mixed indexing. The method comprises the following steps: step 1, data preprocessing; step 2, cluster generation; step 3, index construction; step 4, consistent Hash: distributing each cluster to a virtual node of a Hash ring, dynamically adjusting data distribution on the virtual node according to a load strategy, and mapping the virtual node to a physical server; and step 5, hierarchical aggregation: mapping a query request to a node and adjacent nodes on a hash ring through a hash function, performing candidate set calculation in parallel, merging candidate sets sent by all the nodes by a Spark center node, and finally optimizing a result. According to the method, high-recall-rate and low-delay distributed retrieval is achieved through mixed index construction, dynamic consistency hash allocation and hierarchical aggregation strategies, meanwhile, system load balancing and index updating efficiency are guaranteed, and the method is suitable for large-scale high-dimensional data scenes.

The invention discloses a mobile terminal dynamic key generation method and an electronic signature system, and the method comprises the steps: activating a multi-sensor data collection module, obtaining data through an accelerometer, a gyroscope and a magnetometer of a mobile device, and obtaining a sensor data matrix through noise filtering and preprocessing; detecting a network environment and an equipment moving state, analyzing a security level of a signature document, determining a security policy according to a document type and a signature mode, and generating an environment evaluation parameter matrix; based on the sensor data matrix and the environment evaluation parameter matrix, using a data fusion algorithm and a hash function to generate a dynamic key, determining key update frequency and encryption strength according to an environment risk level, and establishing an encryption channel; electronic signature operation is executed, whole-process safety monitoring is implemented, and authenticity and integrity of the signature are ensured through a multi-verification mechanism. According to the invention, the safety, reliability and applicability of the mobile electronic signature system are comprehensively improved.

The embodiment of the invention provides a distributed data deduplication method and product. The method comprises the steps of obtaining a data key of data to be subjected to deduplication; distributing the data to be subjected to duplicate removal to the ith sub-bucket according to the mixed hash value of the data key; mapping the mixed hash value according to a hash function attribute value configured for the ith sub-bucket to obtain k position numbers; reading numerical values of positions corresponding to the k position numbers from a bit array which is stored at the current moment and corresponds to the ith sub-bucket to obtain k numbers; if it is confirmed that the k numbers are all first numerical values, it is confirmed that the data to be subjected to duplicate removal belong to duplicate data; and if at least one of the k digits is confirmed to be a second numerical value, confirming that the data to be subjected to duplicate removal belongs to new data. According to the embodiment of the invention, the speed and accuracy of big data deduplication processing are remarkably improved, and the problem of single-node calculation overload (different buckets can be distributed to different calculation nodes) is effectively solved.

The invention discloses a commodity transaction data security management method and system based on a block chain, and relates to the technical field of commodity transaction data management, and the method comprises the steps: constructing a commodity transaction network based on the block chain, including sellers, buyers and consensus verification and supervision nodes, and guaranteeing the security of transaction data through employing distributed storage. A unique identifier is generated when the commodity information is linked, and the unique identifier is stored through a hash function and a digital signature. Transaction is driven by an intelligent contract, and consensus calculation is carried out by adopting right and interest proof, workload proof or entrusting right and interest proof. Orders are classified and stored, multiple signatures verify transactions, and funds are managed by an intelligent contract and released according to a transaction state. Commodity traceability adopts a time integral model to calculate a circulation process, and meanwhile, a privacy protection mechanism is utilized to ensure information security of two transaction parties. The method has better effects in the aspects of security, privacy and tamper-proofing capability.

The invention discloses a method, a system and a related device for generating an encrypted two-dimensional code, which are used for improving the anti-counterfeiting effect of the two-dimensional code. The method comprises the following steps: generating an initial two-dimensional code based on a user text demand, wherein the initial two-dimensional code comprises a positioning area and a data area; equally dividing the initial two-dimensional code into a plurality of modules, and identifying the module which comprises the data area and does not comprise the positioning area as an encryption module; generating a first hash function value by using a preset cryptographic algorithm, and performing hollowed-out encryption processing on the corresponding black pixel points in the encryption module according to the first hash function value; the black pixel points within a preset range around the black pixel points subjected to hollow encryption processing are recognized as printing sensitive areas; and generating a second hash function value by using the preset cryptographic algorithm, and changing the gray value of the black pixel point of the printing sensitive area according to the second hash function value to obtain an encrypted two-dimensional code.

A system and method for compressing regular data streams using instruction cache-resident perfect hash functions. The system employs machine learning to analyze regular data streams and generate optimized perfect hash functions that remain resident in CPU instruction cache during compression operations. Unlike traditional compression methods that store lookup tables in data cache, this approach transforms compression operations into executable instructions, enabling efficient processing while leaving data cache available for application data. The system comprises continuous monitoring of compression performance and data stream characteristics, automatically regenerating hash functions when significant changes are detected. The method encompasses analyzing data streams, generating hash function characteristics through machine learning, transforming these characteristics into optimized instructions, and deploying them in instruction cache for runtime compression operations. This approach improves compression performance for regular data streams by leveraging CPU cache hierarchy more efficiently than traditional lookup table-based methods.

Systems and methods are provided for verifying identities of users. One example computer-implemented method includes requesting a unique ID for a user, from a software development kit (SDK) in a mobile device, and issuing the unique ID for the user. The method also includes generating, by the SDK, a public / private key pair specific to the unique ID, prompting the user to capture an image of a government issued document, and capturing the image of the document. The method further includes validating, by the mobile device, the identity of the user based on the image of the document and, based on the validation, (i) converting the image via a one-way hash function, (ii) signing the hashed image with the private key of the public / private key pair, and (iii) transmitting the signed hashed image, the unique ID, and the public key of the public / private key pair to an identification provider.

The invention belongs to the technical field of cryptography, and relates to a method and a device for enhancing attack of a sponge structure hash function antigen image and a second original image. According to the method, the feedforward mechanism is introduced into the transformation function, the limitation of a traditional sponge structure hash function on safety and calculation efficiency is broken through, and better safety and efficiency balance is achieved. Under the condition that the calculation complexity is not increased, the security of the antigen image attack and the second original image attack can be effectively improved, so that the practical value of the hash function in application scenes such as message authentication, random number generation and data signature is enhanced.

The invention belongs to the field of privacy protection positioning, and particularly relates to a distance measurement positioning privacy protection method based on Hash aggregation encryption, which can be used for safe and efficient indoor positioning service based on distance measurement. According to the method, an indoor distance measurement positioning algorithm is converted into security aggregation calculation based on hash function encryption, each anchor point in a user communication distance performs hash encryption on information related to positioning and then performs aggregation decryption by a user, and a positioning calculation matrix is constructed to complete self position estimation. The location privacy security of the user and the anchor points in the ranging process is realized, meanwhile, the user can dynamically adjust the number of the anchor points participating in positioning in combination with own resources and positioning precision, and the relatively high positioning precision and calculation efficiency can meet the online real-time positioning requirement.

The invention relates to the technical field of block chains, and provides a cross-domain authentication method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving an access credential sent by a vehicle when the vehicle is in a coverage range of a road side unit; the access credential comprises a hash value of the identity credential; based on the hash value in the access credential, querying the distributed account book recording the hash value of the identity credential to obtain a query result; and verifying the authentication validity of the vehicle based on the query result. According to the method, multiple road side unit nodes form an alliance chain and jointly maintain a distributed account book of an identity certificate hash value, a decentralized unified trust foundation is constructed, and trusted transmission and verification of vehicle identities are achieved; by using the access credential only comprising the hash value, the storage overhead and the authentication delay on the chain are remarkably reduced, the single-point fault problem of the traditional public key infrastructure is avoided, the long-term identity information of the vehicle is effectively protected by means of the unidirectivity of the hash function, and privacy leakage is prevented.

The invention discloses a block chain evidence storage system of a secret-related level optical disc all-in-one machine, which comprises an acquisition module, an encryption module, an authority management module, a data verification module, an audit tracking module, a decryption module and a data sharing module, and is characterized in that the acquisition module is used for acquiring electronic medical records and image data to generate original data; the encryption module is used for encryption processing; the authority management module is used for performing access control rule configuration on the encrypted data and generating a corresponding access credential; the data verification module is used for generating a digital fingerprint for the encrypted data by adopting a hash function and generating a block chain record; the audit tracking module is used for recording log information of all data access behaviors to form an audit track; the decryption module carries out decryption operation by adopting a decryption algorithm and outputs original data; and the data sharing module is used for realizing cross-mechanism data transmission and generating and outputting a shared data packet.

The invention relates to the field of cross application of electronic data processing and block chain technologies, in particular to a tax declaration data verification method based on a block chain. Comprising the following steps: outputting a global data abstract through an SHA-512 hash function; performing Hash processing to obtain field-level structural features, and generating structural perturbation terms in combination with the global data abstract; carrying out nonlinear transformation and weight weighted fusion, and packaging into a ciphertext; analyzing the tax declaration data ciphertext and the global abstract structure, and extracting a structural feature vector; matching the rule template library on the chain to generate a verification function set, outputting a Boolean type result vector, and generating a cross-chain key identifier; a comprehensive fusion credible score value is generated through nonlinear fusion, and whether the tax declaration data meet verification requirements in the aspects of structure verification and cross-chain consistency or not is judged. The technical problems that in the prior art, structural consistency multi-path verification is lacked, the self-adaptive rule generation capacity is weak, and a credible scoring mechanism does not have entropy perception discrimination capacity are solved.