211 results about "Proof of knowledge" patented technology

Systems and methods for performing zero knowledge proofs to prove a user's possession of secret data and / or biometric data without exposing such data. The methods can include receiving a certificate signing request and biometric data associated with a user; creating a stable key based at least in part on the biometric data; creating a private key based at least in part on the stable key; transmitting the private key to the user device for local storage thereon; creating a public key based at least in part on the private key; and forwarding the certificate signing request to an issuer.

The invention provides a dynamic traceability identifier generation and verification method based on multi-node environment data fusion, and relates to the technical field of information security and Internet of Things data credibility. The method comprises the following steps: firstly generating a seed identifier, then collecting environment data through each node to construct a multi-dimensional vector and carrying out weighted fusion, after serialization, generating a dynamic hash identifier by combining with an upper-level identifier, and meanwhile, introducing an offline trusted evolution, time drift tolerance and self-adaptive risk control mechanism; and finally, backtracking the traceability chain through recursion verification, and guaranteeing privacy in combination with zero-knowledge proof. The method solves the problems that a static traceability code is easy to copy and the data credibility is low, achieves the dynamic anti-counterfeiting and tamper-proofing of the traceability identifier, enables the digital identifier to be strongly associated with physical circulation, improves the credibility of the traceability process, can automatically find abnormal circulation and give an alarm, and is suitable for a commodity traceability scene.

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 a decentralized identity verification method, device, equipment and medium, comprising: generating an asymmetric key pair, generating a decentralized identifier based on a public key and recording the decentralized identifier to a distributed account book, a verifiable certificate containing a declaration is generated by a certificate issuer and signed, a verifiable demonstration satisfying a verification challenge is generated by using a zero-knowledge proof module in response to a verification request, and the verifiable demonstration is signed by using a private key to obtain a signed verifiable demonstration. And sending the signed verifiable demonstration to the verifier, querying the public key verification signature of the voucher issuer and the user side from the distributed account book through the smart contract, and outputting a verification result. According to the invention, the identity verification is realized through the combination of the distributed account book, the zero-knowledge proof and the smart contract, the direct exposure of sensitive information is avoided, and the safety and interoperability of cross-platform identity verification are improved.

In a blockchain, transacting a record comprises performing linear network coding on the record or on a data file corresponding to the record, to produce a plurality of coded data parts; and storing at least one of the plurality of coded data parts on the blockchain or storing a proof of knowledge on the blockchain, the proof of knowledge derived from the coded data parts. Linear network coding coefficients might be derived from cryptographic hashes of the plurality of coded data parts. An all-or-nothing transform can use the cryptographic hashes to provide the proof of knowledge.

The invention discloses a multi-dimensional credit asset traceability system and method. The system comprises a data acquisition and encryption module (10) which is used for performing encryption and digital signature on credit asset data based on a trusted execution environment (TEE) and a hardware security module (HSM) at a data generation end; the parallel Hash processing module (20) is used for performing parallel Hash operation on the encrypted data and generating leaf node Hash values based on GPU acceleration and a multi-thread technology; the nested hash and zero-knowledge proof module (30) constructs leaf node hash values into a compression type Merkle tree and generates a zero-knowledge proof (ZKP), so that a third party can verify the authenticity and consistency of data without accessing full data; the on-chain evidence storage module (40) is used for recording root Hash (RootHash) and zero knowledge proof of the compression type Merkle tree to the block chain; the dynamic authorization and secure multi-party computing module (50) performs access clipping on the credit asset data based on the access intention and realizes verification of the minimum data dimension through secure multi-party computing (SMPC). Through combination of technical means such as trusted hardware acquisition, parallel hash calculation and privacy protection verification, rapid verification is realized on the premise of not exposing original data, and verification performance, data security and privacy protection capability are remarkably improved.

The invention provides a multi-tenant multi-user login method based on enhanced OAuth2, which relates to the technical field of network security, and comprises the following steps: obtaining a key threshold through a tenant identifier, and executing OAuth2 authentication to obtain an access token; tenant fingerprint information is generated through zero-knowledge proof and homomorphic encryption, and a tenant verification token is generated through secure multi-party calculation; constructing a reinforcement learning access controller in combination with the historical access data, and generating and verifying an authority list; and finally forming a session identifier and storing the session identifier in a distributed cache. According to the invention, the authentication security is improved, cross-tenant fine-grained authority management is realized, and unauthorized access is effectively prevented.

The invention relates to the technical field of block chain technology and artificial intelligence collaboration, and discloses a verifiable multi-agent collaboration method based on smart contract driving, comprising the following steps: task planning generates a directed acyclic graph and a zero-knowledge proof circuit template, submits the directed acyclic graph and the zero-knowledge proof circuit template to a planning contract, and deploys an exclusive zero-knowledge proof contract; the AI agent collaboratively executes the subtasks, and zero-knowledge proof is generated and submitted through a Veckrii auction tool; zero-knowledge proof contract chain verification is carried out, and after verification is passed, a signature is received and multi-layer gating verification is executed; and the governance contract carries out pledge management and cost distribution on the agents, the providers and the experts. According to the method, zero-knowledge proof and a trusted execution environment are combined, and an under-chain execution behavior is converted into an encryption certificate capable of being verified on a chain, so that the problem that the execution process cannot be verified due to the lack of distributed trusted evidence storage in a traditional centralized framework is effectively solved; and after each subtask is completed, double signature and multi-layer gating verification are forcibly executed.

The invention relates to the technical field of data sharing, and discloses a supervisible data security sharing method and equipment based on a three-chain architecture, and the method comprises the steps that a user submits a data sharing strategy to a strategy contract, the contract generates a strategy verification key and returns the strategy verification key, and the user creates a temporary symmetric key and a data identifier; packaging into a security token and encrypting by using a supervision chain public key to finish strategy registration and key initialization; and the user transmits the encrypted security token to the storage chain through the relay chain, the relay chain verifies the identity of the user and then forwards the token, and the storage chain verifies that the contract decrypts the token by using the private key of the supervision chain. Through a three-chain architecture, zero-knowledge proof and an anti-quantum evidence storage mechanism, data operation compliance can be verified through a non-tampering operation evidence storage chain, the risk of sensitive information leakage caused by opening of supervision authority is reduced, the defect that encrypted data is difficult to audit is overcome, a cross-chain security token fusing mechanism is utilized to resist communication threats, and the safety of the system is improved. And privacy protection and supervision compliance are dynamically balanced.

The invention discloses a geological archive electronic data security storage method and system based on a block chain, and relates to the technical field of geological information data security, and the method comprises the steps: constructing a multi-modal Merkle sub-tree based on a cross-modal alignment key set, aggregating the multi-modal Merkle sub-tree into a cross-modal Merkle forest root, calculating a cross-modal consistency index, and generating an inconsistent item list; according to the multi-modal consistency index and the inconsistent item list, obtaining a differential security domain mapping table and an access condition set of the geological archive data, and respectively generating a verifiable desensitization proof of a restricted domain and a verifiable zero-knowledge proof of a confidential domain; and packaging the cross-modal Merkle forest root, the differentiated security domain mapping table, the access condition set, the verifiable desensitization proof and the verifiable zero-knowledge proof into an uplink abstract package, verifying the desensitization proof and the zero-knowledge proof through an intelligent contract, and generating a transaction record hash and a new block candidate. According to the invention, the security of the electronic data of the geological archive is improved.

The invention discloses a private data security sharing method based on federal learning, particularly relates to the field of private data security protection and sharing, and is used for solving the problems of insufficient model credibility and lack of precision control of data exchange in the existing cross-mechanism data collaboration process. According to the method, homomorphic encryption processing is carried out on local data of all participants, a ciphertext verifiable calculation task is constructed in combination with federated learning, forward propagation and back propagation calculation of a ciphertext are carried out by outsourcing calculation nodes, credible verification is carried out on a calculation process by utilizing zero-knowledge proof, and gradient aggregation and model updating are completed in a ciphertext domain; after model training is completed, based on federal learning model output, intelligent judgment is conducted on the sharing value of local data samples, ciphertext re-encryption and data exchange control are driven, multi-party safe and controllable data circulation is achieved, and therefore on the premise that privacy safety and compliance requirements are guaranteed, cross-mechanism data collaboration efficiency and decision-making precision are improved.

The invention relates to the technical field of block chain data sharing, and discloses a student psychological assessment data sharing method and system based on a block chain. The method comprises the following steps: when a user logs in through a browser client, a system triggers a zero-knowledge proof generation process; and the client signs the timestamp and the random number by using a local false identity private key to form a zero-knowledge proof request packet, and submits the zero-knowledge proof request packet to the alliance chain node through a secure channel. And the node calls an identity verification contract to verify the signature, generates a session token containing a role type and a validity period after the signature passes, writes the token in an alliance chain account book in a hash manner and returns the token to the client. The client encrypts and stores the token, and a subsequent data request is carried through an HTTP header; and when it is detected that the token is expired or abnormal, the client automatically re-triggers the zero-knowledge proof process. The method depends on the block chain and zero knowledge proof technology, optimizes identity verification and session management, guarantees data sharing safety, compliance and stability, and is suitable for student psychological assessment data sharing among multiple subjects.

Disclosed in the present invention is a zero-knowledge-proof-oriented CPU-GPU data processing and transmission optimization system, which is used for executing multi-scalar multiplication operations on the basis of elliptic curve cryptography, so as to generate zero-knowledge proofs. The system comprises a CPU and a GPU, wherein a data transmission channel is provided between the CPU and the GPU; the CPU is used for acquiring and storing point sets and scalar sets that are involved in multi-scalar multiplication operations, and using a set parallelized data transmission mechanism to communicate with the GPU; and the GPU executes multi-scalar multiplication computation on the basis of the point sets and the scalar sets, and returns a computation result to the CPU. By means of the coordinated effect of a plurality of technical features, the present invention significantly improves the speed and efficiency of zero-knowledge proof generation and optimizes resource utilization efficiency.

The invention relates to the technical field of medical information security, in particular to a security guarantee method and system in a medical data interaction process, and the method comprises the steps: firstly carrying out the read-only solidification and disk encryption of data, and building a fingerprint hash tree; zero-knowledge proof and dynamic privacy budget are generated according to strategies such as purposes and calling times, and semantic vectors are obtained through encoding and signed into a revocation chain; the algorithm is divided into linear, nonlinear and pulse sub-graphs in a credible environment, three-domain ciphertext calculation is carried out, Laplace noise is injected into pulse output according to budget and then fusion is carried out, and a re-linearization key is derived; a hypergraph commitment is generated based on a fused ciphertext, a semantic vector and a key drive delay function are utilized to take a random value and a proof, a composite commitment is obtained through a threshold signature and a random bit sequence, cross-chain evidence storage with root hash is carried out, and differential privacy and long-term auditing are realized.

The invention discloses a decentralized identity authentication method and related equipment in combination with a Merkel tree and zero-knowledge proof. The method comprises the following steps: generating an initial Merkel proof through an identity provider; zero-knowledge proof is generated through a zero-knowledge proof module; requesting to obtain an initial Merkel proof corresponding to a user from an identity provider through an authenticator; the authenticator performs first identity authentication on the user according to the initial Merkel proof, and if the first identity authentication of the user is successful, the authenticator performs second identity authentication on the user according to the zero-knowledge proof; and if the second identity authentication of the user is successful, generating an identity authentication success result, and returning the identity authentication success result to the user. According to the method, the integrity and verifiability of data can be improved, the risks of fraud and identity embezzlement are reduced, a novel attack mode is effectively resisted, higher-level data security characteristics are realized, user privacy protection is greatly enhanced, and the method can be widely applied to the technical field of network security.

The invention relates to the technical field of block chain security, in particular to an insurance claim data security verification method and system based on a block chain, and the method comprises the following steps: collecting identity insurance policy amount time and environment information, executing Hash to generate a data Hash value, constructing a multi-dimensional verification structure, carrying out the cross mapping correlation verification, and carrying out the consensus to generate a verification identifier; the method comprises the steps that a verification identifier is called to construct a zero-knowledge proof calculation parameter and a secret key, a proof response is combined, a verification node receives the response to execute verification and voting to generate a verification state, and on the basis of the verification state, a binding hash and a block are stored in an uplink mode, and a certificate is signed and created. The cross-dimensional verification establishes identity amount position logic relation, abnormal matching instant identification, distributed consensus multi-node confirmation avoids errors, zero-knowledge proof ensures privacy credible verification, intelligent rule transparent voting ensures traceability integrity, and signature block binding generates a long-term voucher.

The invention discloses a relay cross-chain method and system applied to block chain cross-chain, and belongs to the technical field of block chain interoperation. The method comprises the following steps that: in an anonymous committee election stage, a candidate node performs anonymous drawing by using an anonymous verifiable random function combined with a weight and a temporary identity key; in the key generation stage, an asynchronous distributed key generation protocol is adopted, a reliable broadcast protocol is combined, and a threshold signature private key share is generated on the premise that a complete private key does not need to be reconstructed; in a cross-chain consensus stage, a committee member generates a threshold signature share containing an identity bit vector, an aggregation node encrypts the bit vector by using an accountability public key and generates a zero-knowledge proof, and a binding relationship between an identity ciphertext and an aggregation signature is constructed. According to the invention, identity privacy protection of a whole cross-chain verification process is realized, and the problem of key generation deadlock in an asynchronous network environment is solved.

Identity nodes within bidirectional dual node hashchain (BDNH) bundles generate hash keys by processing partial metadata and linking them through identity graphs. Translation nodes perform identity resolution, data anonymization, and re-keying by transforming original identifiers into anonymous IDs and re-key IDs. Laplace noise enabler capsules introduce Laplace noise into translation layer logs for differential privacy. BDNHs share metadata between adjacent bundles for secure and efficient data transmission. A cognitive analytics layer shared among all bundles verifies hashed encrypted data packets using a gossip protocol for real-time validation. An analytics workspace layer activates re-key IDs and creates digital tags for datasets using BERT transformers, linking data through knowledge graphs. The system manages parallel processing and includes machine learning modules, homomorphic encryption, federated learning, zero-knowledge proofs, attribute-based encryption, and anomaly detection. Bundles' AI engines work with the Laplace noise enablers to analyze data, optimize noise, and enhance the data clean room functionality.

The invention belongs to the technical field of data security, and particularly relates to a community data sharing and exchanging security control method based on a block chain, which realizes fine-grained and dynamic access control by performing refined permission division on user characteristics and data attributes and constructing a verifiable attribute permission mapping relationship in an intelligent contract. The slave logic layer prevents unauthorized access vulnerabilities; a mode of combining a fully homomorphic encryption algorithm and a lightweight homomorphic encryption algorithm is adopted, direct operation of data in an encryption state is realized, a permission verification mechanism without data content leakage is constructed in combination with zero-knowledge proof, and dual protection of'calculation without decryption and verification without leakage 'is formed. According to the method, the data leakage risk caused by smart contract code vulnerabilities is fundamentally immunized, an extensive permission allocation mode is broken through by an attribute-based permission management method, refined permission division can be performed according to actual attributes of users and data, permission abuse and unauthorized access are effectively avoided, and the normalization and security of data access are greatly improved.

The invention discloses a high-efficiency multi-authority responsibility investigation multi-party authorization method and device based on attribute encryption, and belongs to the technical field of cryptography and information security. A multi-authority attribute-based encryption mechanism is adopted to protect a responsibility investigation private key, a signer encrypts a signature share and generates a zero-knowledge proof; after verification and certification of the combiner, an encrypted share is aggregated in a ciphertext domain to generate an aggregated ciphertext, the block chain stores a hash abstract, and an authorization tracker decrypts the aggregated ciphertext through an attribute key recovery responsibility investigation private key to recover a threshold signature and a participant set, so that cryptology privacy protection, constant-level responsibility investigation efficiency, decentralized governance and reliable auditing are realized.

A system and method for zero-knowledge verifiable codebook compression receives an input data stream comprising data blocks and encodes the stream using codebook-based compression algorithms. Concurrently with encoding, the system generates zero-knowledge proofs that cryptographically attest that the encoded representation will decode to data having a specified digest and that policy appendices associated with the codebook were applied during encoding. The system generates codebook commitments comprising cryptographic commitments to codebook contents and policy metadata, then formats output packets containing the encoded representation, zero-knowledge proof, and public inputs including the specified digest and codebook commitment. The zero-knowledge proofs enable verification systems to validate encoding correctness and policy compliance without accessing plaintext content or codebook contents.

The invention discloses a local data updating method and system in a local database, relates to the technical field of data management and security, and realizes user identity authentication by acquiring electrocardiogram and environment data through an edge computing node to generate a dynamic permission token. And then, the system verifies and authorizes a database updating request, and performs data fusion analysis by adopting federated learning and a deep neural network to ensure the security and accuracy of data updating. In the data updating process, the system uses chaotic encryption and a trusted execution environment to guarantee the confidentiality and integrity of data. And after updating, broadcasting an operation record through a block chain network, and performing auditing and rollback control by using zero-knowledge proof and a smart contract. And finally, ensuring the integrity and non-tampering property of data recovery by adopting a hash chain technology. Through multi-technology fusion, the security, reliability and efficiency of the data updating process are improved.

The invention discloses a trusted AI inquiry model generation method and device, electronic equipment and a storage medium, which are used for solving the technical problem of how to realize effective sharing and analysis of data while ensuring the privacy of a patient. The method comprises the steps that model fragments of a previous round of AI inquiry global model are received through polynomial interpolation, when medical nodes collect medical data, a local AI inquiry model is trained through the medical data and the model fragments, model parameters are obtained, and zero-knowledge proof is generated; when the zero-knowledge proof verification is passed, reliability verification is carried out on model parameters of the medical nodes in sequence through a three-dimensional reputation evaluation model, and the medical nodes passing the verification are obtained; the model parameters of the medical nodes passing verification are stored in a block, an AI inquiry global model is obtained, and the block is generated through the verification nodes.

A symbolic execution kernel for artificial general intelligence (AGI) and artificial superintelligence (ASI) systems is disclosed. The kernel comprises a cognitive logic module for constraint-based symbolic instruction execution, a cryptographic arbitration engine for ethical branch verification, and a runtime firewall for threat detection and symbolic graph mutation neutralization. Symbolic instructions are processed as constraint-satisfaction problems verified by satisfiability modulo theory solvers and cryptographically sealed for integrity. Behavioral sequences are preserved using Merkle hash trees, and multimodal inputs including electroencephalography signals undergo symbolic verification. Zero-knowledge proofs, dual-kernel consensus, and rollback logic provide resilience against faults and ethical drift. The architecture achieves arbitration within five microseconds and ensures lawful and deterministic execution under hardware or network compromise.

A Zero-Knowledge Inference Sandbox provides a secure computational environment integrating cryptographic zero-knowledge proofs, secure multi­ party computation, and homomorphic encryption to execute i

The invention discloses a safety production performance evidence storage verification method based on ZKP and multi-dimensional verification. The method comprises the steps of daily data aggregation and commitment generation, zero knowledge proof generation, optimistic summarization and batch uplink, data availability guarantee, time trigger automatic presumption and multi-dimensional verification execution. According to the method, zero-knowledge proof, optimistic summary, data availability sampling, Vickers tree and other frontier cryptography and block chain capacity expansion technologies are fused, and the method has the advantages of low cost, high efficiency and verifiability.

The invention discloses an article information verification method and system based on zero-knowledge proof and a block chain, and belongs to the technical field of information security and block chains. The objective of the invention is to solve the problems of privacy disclosure, poor strategy adaptability and insufficient data credibility in existing batch article verification. The key points of the technical scheme are as follows: a proving party receives a verification strategy, digitizes the verification strategy, generates circuit constraints, converts the circuit constraints into an R1CS format after optimization, and designs a zero-knowledge proving circuit; a key pair is generated by adopting a Groth16 algorithm, and a verification key is deployed to the block chain smart contract; private input data is prepared based on standardized batch article data, zero-knowledge proof is generated in combination with a proof key, and chain verification is completed by an intelligent contract. Unification of privacy protection and efficient verification is achieved, and the method is suitable for supply chain traceability, batch article compliance verification and other scenes.

A system, method, and computer-readable medium enforce compliance, policy governance, and jurisdiction-aware control of digital artifacts generated by AI models. A deterministic digest of each artifact is stored in a registry, and a compliance token is generated encoding policy predicates, consent scope, jurisdictional lineage, monetization parameters, and a zero-knowledge proof component including a proof statement ID, cryptographic commitment, and verification key. A gateway verifier receives the artifact and token, verifies the signature, performs zero-knowledge proof validation without revealing regulated data, evaluates encoded policies, and renders a permit-or-deny decision. Verification results and compliance decisions are recorded via a dual-ledger atomic commit engine that updates both compliance and financial ledgers. A settlement engine calculates royalty values based on validated performance metrics and appends the results to the commit entry. Upon jurisdictional transitions, a transition engine detects boundary crossings and issues a forked compliance token with updated predicates. The system ensures verifiable, policy-aware, and jurisdictionally adaptive governance.

A system for zero-knowledge proof of regulatory compliance for artificial intelligence model deployment encodes regulatory requirements into compliance predicates, generates and verifies zero-knowledge proofs without disclosure of protected information, updates a trust state, and enforces execution across jurisdictions and vendors while preserving privacy and intellectual property.

The invention discloses an agent interaction system and method supporting multi-user anonymous identity agency, and the system comprises a user side which is used for generating a one-time decentralized identity identifier and a secret key, generating a zero-knowledge proof based on a local certificate, and submitting the identifier, the proof and metadata to an agent side; the intelligent agent end is used for managing multi-user session data, establishing a decentralized identity-based bidirectional authentication encryption channel with the platform end, forwarding zero-knowledge proof and metadata, signing and encrypting a result returned by the platform end, and returning the result to the user end; and the platform end is used for verifying the identity of the agent end, receiving the zero-knowledge proof and the metadata, completing proof verification based on the on-chain verification parameters, and executing the anonymous request of the user after the proof verification is passed. According to the method, the real identity of the user and the platform service are effectively isolated by introducing the intelligent agent, the privacy security of the user and the data is practically protected, and the method is suitable for scenes needing strong privacy protection and multi-user cooperation, such as online transaction, shared economy, family and enterprise agency and the like.

The invention belongs to the technical field of information security, relates to zero-knowledge proof and block chain technologies, and particularly provides a public verifiable data service method for an instrument control system, so as to solve the technical problem of huge calculation overhead caused by the fact that commitment consistency check of large-scale data needs to be executed in a circuit in an existing zk-SNARK-based scheme. According to the invention, a hybrid proving system based on a cryptographic protocol Plonk and Groth16 is designed, the promise adaptive to the system is designed, and the consistency check of the promise of the database is transferred from the inside of an arithmetic circuit to the outside of the circuit, so that the huge calculation overhead introduced into a zk-SNARK circuit by the promise consistency check of a large-scale database is avoided; and finally, the verifiable execution of safe calling and operation on the data subset from the third-party cloud storage is realized, the accuracy and integrity of industrial data are ensured, and the problem of trust missing in a cross-domain scene is solved.