895 results about "Hash function" patented technology

The invention discloses an airport intelligent service question answering method and system based on AI, relates to the technical field of artificial intelligence, and comprises the steps of performing combined modeling by using a time sequence and a multi-head attention mechanism, extracting key behavior characteristics, fusing intention recognition and behavior prediction, and improving the answer reasoning accuracy. The method comprises the following steps: selecting a semantic knowledge base, constructing deep semantic representation and accurately matching the deep semantic representation with the semantic knowledge base, extracting high-weight phrases in combination with a sliding window mechanism, generating unique semantic fingerprints by utilizing a Karp-Rabin hash function, improving the speed and accuracy of answer matching, and performing fuzzy control and redundant information elimination on candidate answers by adopting a rough set tolerance model. Semantic similarity judgment is carried out according to the intersection and union set proportion between the upper and lower approximate sets, the problems of semantic drift and repeated candidates in traditional matching are effectively relieved, and through reinforcement learning and A / B testing, the question and answer strategy is continuously optimized, and the response effect of the system and the user satisfaction degree are enhanced.

A non-transitory, processor-readable medium storing instructions that when executed by a processor, cause the processor to receive data artifacts, encode the artifacts to a standard data type, and compute, for each artifact, a hash function. The hash functions and encoded documents are stored in a first database. The processor is caused to tokenize the encoded artifacts, to produce tokens associated with natural-language identifiers extracted from the encoded artifacts. The processor is caused to transform, using an embedding model, the tokens to produce vectors that are stored in a second database and classified based on categories. The second database is configured to be queried to perform a semantic search in response to receiving a request from a user operating a user compute device. The processor is caused to retrieve, from the semantic search, a subset of vectors from the second database to be displayed on the user compute device.

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 discloses a cross-border e-commerce anti-counterfeiting tracing method and system based on a block chain, and belongs to the technical field of computer application. The method comprises the steps of obtaining full-link information of commodity production, storage, logistics and sales links, performing encryption processing through a composite hash function, storing the information to a block chain by using an improved consensus mechanism, constructing an intelligent contract to realize automatic processing of commodity state changes, and scanning a code by a consumer to compare a hash value to verify authenticity. The system comprises an information acquisition module, a hash encryption module, a consensus storage module, an intelligent contract module and a verification module. According to the scheme, it is guaranteed that data cannot be tampered through the composite hash function, the consensus efficiency is improved through the hierarchical verification structure and the dynamic node weight, state monitoring and automatic claim settlement are achieved with the help of the intelligent contract, the problems of data fragmentation, difficult anti-counterfeiting, poor supervision cooperation and the like in cross-border e-commerce are solved, full-link credible evidence storage and automatic supervision are achieved, and the safety of cross-border e-commerce is improved. And the cross-border commodity anti-counterfeiting and traceability efficiency is improved.

A process includes receiving credentials associated with a request to access a computer platform. The credentials include a password and a user identification. The process includes determining a key handle and a reference cryptographic digest corresponding to the user identification. The process includes determining a second cryptographic digest corresponding to the user identification. Determining the second cryptographic digest includes providing the key handle and the password to a security processor of the computer platform and initiating an operation by the security processor to apply a keyed-hashing function to the password based on a cryptographic key corresponding to the key handle to provide the second cryptographic digest. The security processor stores the cryptographic key. The process includes regulating access to the computer platform based on a comparison of the second cryptographic digest to the reference cryptographic digest.

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 an RFID electronic tag anti-collision processing system, which relates to the technical field of radio frequency identification and comprises an encryption module, a signal processing module and a real-time processing module. The encryption module is used for realizing label identity verification based on a hash function; the signal processing module adopts a mixed anti-collision mechanism combining a time slot ALOHA protocol and a binary tree search algorithm; the real-time processing module comprises a multi-channel parallel processing unit, and each channel is configured with an independent local frequency. According to the RFID electronic tag anti-collision system, the encryption module, the signal processing module and the real-time processing module are combined, the problem of multi-tag collision of the RFID technology in a high-density and dynamic application scene is effectively solved, the encryption module adopts a hash function and an elliptic curve encryption algorithm, safe and efficient verification of tag identities is achieved, and the security and reliability of the RFID electronic tag are improved. The innovative hybrid anti-collision mechanism of the signal processing module is the combination of a slot ALOHA protocol and a binary tree search algorithm.

The invention relates to the technical field of logistics information tampering prevention, in particular to a logistics information tampering prevention system based on a block chain, and the system comprises a logistics information initial encryption module which is used for collecting key logistics information items, calling a chameleon hash function to carry out the hash operation of the collected key logistics information items, obtaining a logistics information chameleon hash sequence, and sending the logistics information chameleon hash sequence to a logistics information tampering prevention module; and a warehouse administrator or a carrier driver uses a private key to digitally sign the key logistics information item and the logistics information chameleon hash sequence to generate a signed logistics data packet. According to the method, key logistics information items are collected, and a chameleon hash function is adopted to perform hash operation on logistics information, so that the tamper-proof capability of the information in the transmission process is enhanced; meanwhile, a private key is used for carrying out digital signature to bind the identity of an operator, so that the identity traceability of an information source is realized, and the identity is effectively prevented from being counterfeited or falsely used.

The invention relates to the technical field of data security, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an encryption processing method, device, equipment and medium based on chaos parameter adjusting.The encryption processing method comprises the steps that a composite chaos signal is generated based on a chaos module, and feedback information is dynamically extracted in combination with a hash function; an error vector is constructed, chaotic module parameters are adjusted, an updated composite chaotic signal is generated, a key stream is generated through quantization, the data block size is determined according to the amplitude of the error vector, block encryption target data is driven through the key stream, and dynamic cooperation of the key stream and the data encryption process is achieved. According to the method, a chaos module, a hash function and a dynamic adjustment mechanism are closely combined, real-time hash value feedback control over dynamic evolution of chaos parameters is achieved, error driving adjustment is introduced in the key stream generation process, the continuity and randomness of key stream entropy values are improved, and the key stream generation efficiency is improved. The problem of low efficiency of hash static application and encryption processing in the prior art is effectively solved.

The invention relates to a cross-domain authentication method based on a block chain, and the method comprises the steps: obtaining distributed identity data, carrying out the coding through employing a preset hash function, and obtaining a coded identity; recording an identity verification log based on the encoded identity label, and retrieving label consistency data from an account book according to the verification request to obtain a legality verification result; obtaining a dynamic permission allocation strategy through a legality verification result, generating a temporary access credential meeting the access requirement, and determining the content of the dynamic credential; extracting a permission range based on the dynamic voucher content, encrypting the permission range by adopting a zero-knowledge proof protocol, acquiring proof data, distributing the proof data to a cross-domain access target domain, and if the target domain feeds back a verification request, checking credibility according to the proof data, and obtaining an access permission validity result, extracting an access demand matching degree for comparison verification, and determining a cross-domain access passing state. According to the method, the trusted identity management requirement in a complex heterogeneous network environment can be met.

The invention discloses a network flow measurement method and device based on a data packet interval sketch data structure and a medium. Each arriving data packet is mapped to each corresponding bucket in a sketch data structure through a plurality of independent hash functions, the sketch data structure is a two-dimensional array form structure comprising multi-row and multi-column buckets, and empty bucket processing, identical flow updating or conflict flow replacement judgment is executed according to the conditions of the data packets and the buckets. According to the method, a brand-new interval value sketch is designed, and efficient and accurate large flow detection is realized on the premise of high processing speed and low memory occupation by comprehensively utilizing two pieces of multi-dimensional statistical information of the flow estimation value and the data packet interval. Meanwhile, the large flow and the small flow in the network environment can be well distinguished, so that the method can be better suitable for network measurement tasks in different scenes such as large flow detection and abrupt flow detection.

The invention provides an efficient privacy set intersection method and device based on bucket coding, and the method comprises the steps: obtaining an input set and a target value set, the input set comprises a private set of a sender and a private set of a receiver, and the target value set is generated based on the private set of the receiver; encoding the private set of the receiver into a sparse matrix composed of a plurality of buckets through a hash function; determining a linear system of the sparse matrix; performing ascending sorting and re-labeling on the linear system according to the initial bit position set to obtain a target linear system; according to a bucket-based Gaussian elimination algorithm, based on a target linear system, through exclusive-or operation, determining oblivious key value pairs for storage; an intersection of the private set of the sender and the private set of the receiver is determined based on the oblivious key-value pair storage according to an oblivious linear evaluation protocol. According to the invention, communication resources required by privacy set intersection in an actual production environment can be further reduced.

The embodiment of the invention provides a key protection method and device based on a PUF chip and a storage medium, and the method comprises the steps: in a key generation stage, generating a random challenge sequence based on physical environment parameters, and transmitting the challenge sequence to the PUF chip; the PUF chip generates a corresponding PUF response according to the received challenge sequence, and the PUF response is processed by a hash function to generate an initial key material; and in combination with the initial secret key material and the message information of the equipment, secret keys with different requirements are derived, so that the flexibility and the security of secret key generation are improved, multi-purpose secret keys are derived as required, the relevance between the secret keys is reduced, and the anti-attack defense capability is improved.

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 present invention discloses a ring signcryption generation method, system and device based on the SM9 digital signature algorithm. The present invention utilizes the bilinearity, non-degeneracy and computability characteristics of bilinear mapping, and adopts the SM9 digital signature algorithm and a hash function to construct a ring signcryption scheme. By optimizing the SM9 digital signature algorithm, the present invention has lower computational overhead and communication overhead, is particularly suitable for communication environments with limited energy and bandwidth, and fills the gap of the SM9 digital signature algorithm in ring signcryption schemes.

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.

Techniques relating to data privacy are disclosed. These techniques include identifying data fields relating to a first data record, and generating transformed data fields by transforming the data fields using one or more transformations. Each of the transformations includes at least one of: (i) a hash function or (ii) a surrogate key function. The techniques further include generating encrypted data fields by encrypting the data fields using a respective encryption key, and storing the transformed data fields, the encrypted data fields, and of encryption keys. This includes storing the transformed data fields in one or more first storage locations, storing a first mapping between each of the transformed data fields and a corresponding encrypted data field in one or more second storage locations, and storing a second mapping between each of the transformed data fields and a corresponding encryption key in one or more third storage locations.

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.

Concepts and technologies disclosed herein are directed to encrypted applications verification. According to one aspect disclosed herein, a device can execute an application verification module to perform operations. The device can receive a hash function from a master security server. The hash function can be used to verify an application installed on the device. The device can apply the hash function to application code of the application to determine a hash result. The master security server can determine whether the application is verified based upon the hash result. The device can execute the application thereby generating data traffic to be sent via a network to a destination. The device can provide the data traffic to the network. A network node can receive the data traffic and can allow or deny the data traffic access to the destination based upon a command received from the master security server.

The invention discloses a multi-level privacy protection data sharing method and system based on a block chain. The method comprises the following steps: S1, collecting and uploading original data; generating an encryption key by adopting a dynamic DNA coding sequence and combining an AES key expansion method, encrypting the collected data by utilizing the generated encryption key to obtain an encrypted file, and storing the encrypted file in a local storage library; s2, uploading the encrypted file in the step S1 to a distributed hash table of an IPFS distributed storage system through an SHA-256 hash function, and verifying and confirming a block by adopting a dynamic hybrid consensus mechanism; s3, accessing the block chain by the user through the smart contract, and executing space-time double-attenuation permission control; and S4, after the permission verification is passed, a decryption key is provided for the user, and the user performs data decryption by using an AES decryption algorithm and DNA reverse coding. According to the method, more accurate authority management can be provided, the security and compliance of data access are improved, and the method is suitable for management of large-scale data.

The invention discloses a deep forgery detection method based on a firefly optimization algorithm and locality sensitive hashing. The deep forgery detection method comprises the following steps: S1, converting collected document data into a standard format image document data set; s2, generating a preprocessed image document data set; s3, forming a document feature vector set; s4, obtaining an optimal feature weight combination; s5, generating an optimized document feature vector set; s6, constructing a locality sensitive Hash matching model based on the optimized document feature vector set, and mapping the document feature vectors into a low-dimensional space through a preset Hash function family to form a plurality of Hash buckets; and S7, carrying out similarity matching on the document data in each hash bucket, and outputting a final document data high-forgery detection result and a corresponding document forgery confidence score by adopting structural similarity comparison and image training comparison. According to the method, a step-by-step enhanced counterfeit identification process from preliminary screening to confirmation is realized, and the false alarm rate and the missing report rate are remarkably reduced.

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 discloses a multi-layer encryption system for an electronic bidding document, particularly relates to the technical field of bidding document encryption, and is used for solving the problems that advanced decryption of an encrypted bidding document is difficult to detect, and a leakage path is difficult to efficiently trace to the source. Comprising a secret key segmentation module, a false quotation generation and binding module, an advanced decryption verification module, a leakage traceability module and a sequential decryption module, a real electronic bidding document is encrypted to generate an encrypted bidding document, a main secret key is segmented by adopting a threshold encryption scheme, a Hash function and random disturbance are combined, a surface bidding document is generated according to the real electronic bidding document, and the surface bidding document is encrypted. The method comprises the following steps: calculating a false quotation of a surface bidding document according to different sub-key combinations used for advanced decryption, generating a sub-key combination-false quotation mapping, carrying out matching evaluation on whether the false quotation of the surface bidding document is decrypted in advance by combining abnormal quotation detection and quotation mode robustness, determining a suspicious key combination used for advanced decryption, and judging whether the false quotation of the surface bidding document is decrypted in advance. And the encrypted bidding document is decrypted in a time window allowed by bid opening.

Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support improved watermarking and fingerprinting of a shared dataset. To illustrate, clustering may be performed on the dataset using initial clustering parameters (e.g., a secret key) to assign each record (e.g., attribute) of the dataset to one of multiple clusters. The secret key may be selected by a user or determined automatically based on the clustering algorithm. After the clustering, the records of each cluster may be selected for embedding a portion of fingerprint data based on one or more security parameters (e.g., a hash function, priority values, even / or selection, etc.). The selected records (or portions thereof) may be replaced with corresponding portions of the fingerprint data to embed the fingerprint data within different records as watermarking. Aspects also include analyzing a dataset to verify whether watermarking is present and to extract a fingerprint.

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.

The invention discloses a user identity verification method based on a block chain, and relates to the technical field of identity verification, and the method comprises the steps: encrypting sensitive identity information through an AES128-bit encryption algorithm, generating a root hash for the encrypted sensitive identity information through a Merkle Tree and an SHA3 hash function, and when a user carries out identity verification, carrying out authentication on the encrypted sensitive identity information through the Merkle Tree and the SHA3 hash function. And decrypting the second registration information encrypted by the public key through the identifier and the Non value in combination with the private key, recalculating the root hash of the encrypted sensitive identity information, and comparing the root hash with the root hash stored on the block chain. By combining an AES encryption algorithm, a Merkle Tree and an SHA3 hash function, integrity verification is performed on encrypted sensitive identity information, privacy and security of the information are ensured, data integrity is improved through a multi-layer hash and encryption verification mechanism, security vulnerabilities caused by a single encryption mode are avoided, and the security of the sensitive identity information is improved. The safety and the efficiency of identity verification are further improved.