236 results about "Anonymity" patented technology

The invention discloses a human resource management method and system based on data security. The method comprises the steps that multi-source human resource data are collected through a standardized interface, and sensitive levels are marked in a classified mode; calling a dynamic encryption engine based on the sensitive level and the data type, performing asymmetric encryption on the structured data, and performing hybrid encryption on the unstructured data; a dynamic hierarchical access control strategy is generated in combination with user roles and service scenes, and the permission range is adjusted in real time; laws and regulations such as GDPR and CCPA are analyzed through a compliance rule base, data operation legality is automatically verified, and illegal behaviors are blocked; k-anonymity and differential privacy technologies are adopted to desensitize sensitive data, and privacy protection and data availability balance are ensured; and recording a full-process operation log based on the block chain and generating a non-tampering audit report. The system comprises a data classification acquisition module, a dynamic encryption engine module, an access control engine module and the like. According to the method, the problems of data protection rigidness, compliance response lag and privacy-utility imbalance of a traditional HR system are solved.

The invention relates to the technical field of campus management, and particularly discloses a smart campus management system based on big data, an event-driven data management architecture is used for dynamically collecting, integrating and associating multi-source heterogeneous data in a campus, and generating a standardized event stream; the dynamic resource scheduling engine is in communication connection with the event-driven data governance architecture, generates a resource allocation instruction based on event types and priorities in event streams, and dynamically deploys campus resources; the closed-loop evaluation optimization module receives a resource scheduling result of the dynamic resource scheduling engine and generates a multi-dimensional evaluation index, and the multi-dimensional evaluation index is fed back to the data governance architecture through root cause analysis so as to optimize a subsequent decision; the privacy enhancement processing unit integrates a federated learning framework and a differential privacy algorithm, performs collaborative analysis on cross-system data and ensures the anonymity of individual data; through three core technologies of dynamic data management, intelligent resource scheduling and closed-loop evaluation optimization, intelligent upgrading of the whole campus management process is realized.

Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. Embodiments include systems that create, access, use, store and / or erase data with increased privacy, anonymity, and security—thereby facilitating the availability of more qualified and accurate information. When personal data is authorized by data subjects to be shared with third parties, embodiments described herein may facilitate the sharing of information in a dynamically-controlled manner that also enables the delivery of temporally-, geographically-, and / or purpose-limited information to the receiving party. In one example, the disclosed techniques may be used to functionally separate geospatial information, such that it remains “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent or degree that is desired.

The invention provides a double-stream video conference privacy tracing method based on a block chain, and the method comprises the steps: building a tracing evidence obtaining model which comprises information uplink and tracing evidence obtaining; the information uploading comprises the following steps: in a video conference process, audio and video data and related conference information are uploaded to an interstellar file system for storage and verification after being subjected to encryption and signature processing through a threshold ring signature mechanism, and key evidence is uploaded to a block chain; the intelligent contract is used for automatically managing data storage; the traceability evidence obtaining comprises the following steps: after leaked picture information is obtained, detecting a traceability identifier in a video or a picture, and comparing the traceability identifier with information stored on a chain; a secret divulging block point is automatically tracked and positioned through an intelligent contract, and the real identity of a secret divulging party is decrypted. According to the method, tampering resistance, transparency, decentration and anonymity of chain information in the traceability evidence obtaining process are achieved, and automatic evidence obtaining and traceability operation is supported.

The invention discloses a static database self-adaptive fuzzification desensitization implementation method for highly sensitive data in the power industry. The method comprises the following steps: a data preprocessing module, a sensitivity analysis module, a fuzzification algorithm module, a self-adaptive mechanism module and an effect evaluation and verification module. Compared with the prior art, the method has the advantages that 1, self-adaptive dynamic adjustment is performed: a desensitization strategy is automatically optimized according to data characteristics and use scenes, and privacy protection indexes (such as k-anonymity values) are improved by 30%-50%; 2, multi-dimensional balance: the information loss rate is reduced by 10%-20%, the query accuracy is improved by 5%-10%, and safety and service requirements are considered; 3, system expansibility: a plug-in architecture supports dynamic loading of new algorithms and rules, and a configuration management module realizes strategy real-time adjustment; and 4, compliance guarantee: through a law and regulation rule base and a compliance check algorithm, the compliance is ensured to meet the standard.

The invention relates to an alliance chain identity privacy protection method and system based on multi-level group signature and distributed key management, and belongs to the field of block chain technology, network and information security. According to the method, a multi-level group signature structure is adopted, anonymous identity verification is achieved in the transaction process, privacy protection is further enhanced through zero-knowledge proof, anonymous identity verification is achieved in the transaction process, it is ensured that privacy of participants is not leaked, a homomorphic encryption algorithm is used in the signature and verification process of transaction data, and the transaction data are subjected to identity authentication. And privacy leakage is prevented. And meanwhile, the Shamir secret sharing algorithm divides the master key and stores the master key in a plurality of sub-group members in a distributed manner, so that the anti-attack capability and the key security are enhanced. According to the method, a dynamic group member management and double signature verification mechanism is further introduced, so that the flexibility and the overall security are improved. The method has significant advantages in the aspects of identity anonymity, data integrity and efficiency, and is suitable for alliance chain application scenarios with high privacy and security requirements.

The invention discloses a decentralized traceable ring signature authentication method and system, and a storage medium, and the method comprises the steps: carrying out the verification of a ring signature result and a public key vector, and verifying the legality of a signer corresponding to the ring signature result; and if the ring signature result passes verification and the number of the users agreeing to trace is greater than or equal to the threshold, obtaining the index of the signer member by tracing the fragment private key of the user, thereby completing the tracing operation. By adopting the technical scheme provided by the invention, the traceability of anonymity and decentralization can be provided for a signer, and the security and reliability of digital signature are improved.

The invention relates to the technical field of identity authentication and information security, in particular to an SM2 ring signature scheme with revocable and anonymity. According to the scheme, the data can be digitally signed while the privacy security of a signer is protected, and any user can verify the correctness of the digital signature. In addition, identity tracking is performed on the signer of the dishonor, the identity of the dishonor is exposed, and the possibility of occurrence of the dishonor behavior is reduced. When a signer executes a signature process, the signer must firstly send a unique identity tag ID to a third party, and the third party adds the ID into a set L and returns a signature parameter R to the signer. And the signer executes an SM2 ring signature algorithm with revocation and anonymity by using the R to generate a digital signature and a revocation label. And the user requests to use the data, discovers that the data has problems in the use process, requests the third party to cancel the anonymity of the signer, executes a signature cancel algorithm by using a cancel label, and returns the identity of the signer, so that the real signer is exposed.

The invention belongs to the technical field of information security, and particularly relates to a decentralized traceable ring signature method and system based on a block chain. The method comprises the following steps: S1, generating global parameters through a system initializer, and respectively generating respective key pairs for a signature user and a tracer group; s2, constructing and generating a traceable ring signature according to respective key pairs of the signature user and the tracer group generated in the step S1; and S3, when the identity of the signer needs to be revealed, submitting a secret key share by a traceability reaching a set threshold, jointly recovering the traceability, and positioning a real signature user according to the traceable ring signature. The method has the advantages of being safer, more reliable and more transparent, meeting the decentration principle and meanwhile being capable of guaranteeing anonymity of user data processing.

Enhanced dynamic security with partial data access to preserve anonymity is provided herein. An example method comprises storing personally identifying information (PII) about an end user in a database, organizing data in the database into tokens, determining, upon receiving a request for the PII from an agent in communication with the end user, that the agent is authorized to access the PII, granting the agent temporary access to the PII, and removing the PII from a device associated with the agent.

Various systems, computer-readable media, and computer-implemented methods of providing improved data privacy, anonymity and security by enabling subjects to which data pertains to remain “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent that is desired—are disclosed herein. Embodiments include systems that create, access, use, store and / or erase data with increased privacy, anonymity, and security—thereby facilitating the availability of more qualified and accurate information. When personal data is authorized by data subjects to be shared with third parties, embodiments described herein may facilitate the sharing of information in a dynamically-controlled manner that also enables the delivery of temporally-, geographically-, and / or purpose-limited information to the receiving party. In one example, the disclosed techniques may be used to functionally separate geospatial information, such that it remains “dynamically anonymous,” i.e., anonymous for as long as is desired—and to the extent or degree that is desired.

A method, apparatus, and computer program product are provided for establishing and applying a second level of anonymization of trajectories to improve privacy. Methods may include: receiving anonymized mobility data for a geographic region subdivided into a plurality of map tiles, where the mobility data includes a plurality of probe data points anonymized with a first anonymization level, where sequences of probe data points define trajectories; determining, based on the anonymized mobility data, one or more map tiles of the plurality of map tiles where anonymization of trajectories using the first anonymization level fails to satisfy a predefined anonymity parameter value; removing a subset of the anonymized mobility data corresponding to the one or more map tiles; and publishing the anonymized mobility data without the subset of the mobility data corresponding to the one or more map tiles for use with one or more location-based services.

The invention discloses an Internet of Vehicles cross-domain authentication method based on a block chain and a self-sovereignty identity, and the method provides a set of cross-domain authentication service that a high-speed moving vehicle carries out an application service request among different security domains, and can achieve the distributed sharing of vehicle identity authentication information among different security domains. The cross-domain authentication time delay is effectively reduced, meanwhile, the vehicle completely has the control right of identity information, and necessary information of cross-domain authentication can be selectively disclosed. A distributed identity information management architecture is established based on an alliance chain, identity credential information of a Merkel tree structure is stored in a dynamic accumulator on the alliance chain, a sparse Merkel tree is adopted to construct a vehicle access credential, and privacy information leakage in a cross-domain authentication process is avoided; the message is signed by using a conditional privacy anonymous method, integrity and credibility verification of request information transmission is realized through pseudonyms, and batch verification of signed messages and identity revocation of malicious vehicles are supported. According to the invention, the system parameters and storage space are small, the verification time delay is small, and the cross-domain authentication requirement of the vehicle in the dynamically changing vehicle networking environment can be met.

The invention belongs to the technical field of federated learning privacy protection, and discloses an anonymous and Byzantine robust federated learning privacy protection method and system with safe and efficient aggregation. Firstly, the invention provides a single mask protocol, which not only can effectively protect the security of privacy data, but also improves the aggregation efficiency. And then, anonymous ring signature and secure shuffling are used, so that the metadata of the client message is eliminated while the identity of the client is ensured to be legal, and the legality and anonymity of the identity of the client are ensured at the same time. The invention also realizes a baffle mechanism for malicious update, so that the influence of the malicious update on the global model can be ignored, thereby realizing Byzantine robustness.

The invention relates to the technical field of credible authentication, and discloses a mobile intelligent node lightweight identity authentication method based on a block chain, which comprises the following steps: an initialization stage: a credible center generates a public password parameter, and writes a PUF challenge-response table subjected to redundancy coding, a dynamic pseudonym and each entity public key into the block chain; in the message signature stage, a node obtains a random challenge at one time through an intelligent contract, calculates a single-frame signature according to a local PUF response and a public parameter, and broadcasts the single-frame signature; in the authentication stage, the receiver completes decentralized verification according to the on-chain parameters, and if verification fails, the trusted center traces the real identity through pseudonym mapping. According to the method, multiple rounds of handshake are abandoned, only minimum auxiliary data are stored on a chain, anonymity, traceability and low calculation and low communication load of resource-constrained equipment are considered, and the method is suitable for high-dynamic scenes such as Internet of Vehicles and unmanned aerial vehicle clusters.

To provide an information generation system and an information generation device that enable a user of any position to make statements (transmit information) with improved anonymity and safety.SOLUTION: In an information generation system 1, a server 20 includes a processing unit and a storage unit. The processing unit, in cooperation with the storage unit, receives opinion information of multiple anonymous users within a group, combines the opinion information of the multiple anonymous users, and generates representative opinion information of the group using the combined opinion information of the multiple anonymous users.SELECTED DRAWING: Figure 1

The invention discloses an intelligent psychological health education system based on an education robot. The system comprises (1) AI family-school cooperation: an improved YOLOv7 algorithm captures classroom behaviors, dynamic Gaussian blur protects privacy, directionally pushes student participation images containing desensitization IDs, supports AI to generate personalized communication verbal skills, and improves the degree of participation of parents; (2) an interdisciplinary fusion engine: constructing a knowledge graph to associate psychological courses with mathematics, sports and other subjects, predicting an optimal fusion opportunity in combination with educational administration data, and generating a double-teacher collaborative teaching plan; (3) interest and emotion driven daily penetration: analyzing student interest labels based on a latent semantic model (LFM), and triggering personalized family task pushing in combination with multi-modal emotion recognition to realize intelligent penetration of psychological health education in a family scene; and (4) full-link privacy protection: adopting differential privacy, block chain and federated learning technologies to realize'all anonymity 'and'availability and invisibility' of data, and ensuring information security through three-level desensitization and quantum encryption, so that the system meets the requirements of'personal information protection method '.

Techniques are described through which groups of individuals and / or other entities may interface with a data cloud blockchain network and / or cloud-based platform to collectively share data in a secure, controlled manner. Decentralized groups that are connected to the data cloud network may be registered and listed in a searchable directory. Entities that are interested in accessing data associated with a group may browse the directory, execute smart contracts within a blockchain, and track online content interactions of a group in a manner that does not compromise the anonymity of individual group members. Data usage and performance metrics may be tracked on the blockchain network using data cloud services, and the metrics may be written to distributed ledgers within the blockchain network. Smart contracts and chaincode within the network may initiate blockchain transactions based on performance metrics and / or other aspects associated with accessing information about a group.

The invention provides a controllable anonymity optimization method for a block chain smart contract, and belongs to the technical field of block chain smart contracts, and the method comprises the steps: generating a user private key through employing a threshold secret sharing protocol and a three-layer GPU acceleration architecture, storing a corresponding relation between identity information and a Hash ciphertext to a supervision center, and carrying out the encryption of the user private key; a user signs a smart contract calling parameter by using a private key and then sends the smart contract calling parameter to a block chain network, a block chain node extracts all signatures in a transaction to construct a dependency graph and groups each parallel verification group by using a greedy coloring algorithm, and parallel verification is performed on each parallel verification group by using bilinear pairing batch processing and a three-layer GPU acceleration architecture. After verification is passed, intelligent contract service logic is executed to complete transaction uplink, the supervision user retrieves the user identity information original text through the Hash ciphertext, and the technical problem that the on-chain calculation cost is too high due to the fact that signature batch verification efficiency is low when controllable anonymity is achieved in the block chain intelligent contract is solved.

The invention discloses a treatment method for improving data quality based on a large model, and the method comprises the following steps: a, receiving a multi-source heterogeneous input data stream, analyzing modal features of a text, an image and a time sequence signal, and generating a mixed feature vector through a pre-trained multi-modal encoder; b, generating a data cleaning rule based on a large language model, and dynamically executing missing value interpolation and abnormal value detection; c, applying a differential privacy policy to the sensitive field, and selecting k-anonymous or homomorphic encryption according to a data grading label; and d, executing preprocessing quality verification, including calculating an integrity score # imgabs0 # and a consistency score # imgabs1 #, and updating a cleaning rule when a comprehensive quality index # imgabs2 # is lower than a dynamic threshold value # imgabs3 #. Through the preprocessing quality verification and incremental learning mechanism, the model response speed is increased by three times, and the result is delayed; the misjudgment rate is reduced by 42% within one minute; and the cross-modal contrast learning enables the multi-modal task F1-score to be improved by 17%-23%.

The present disclosure relates to a method for secure, traceable and privacy-preserving with anonymity revocation digital currency transfer to at least a first user from a second user among a plurality of banked and unbanked users by using a distributed ledger comprising a plurality of ledger nodes, wherein said users perform Digital Currency transfers by adding transactions on this ledger using user devices configured to be connected to said nodes, to a registration authority and to a revocation authority, said authorities owning each one a public / private key pair, comprising:an enrollment phase, performed by a user device of said first user, comprising:sending to the registration authority evidence of the first user's identity,generating a first user identification key pair comprising a first user identification public key and a first user identification secret key,sending to the registration authority said generated first user identification public key,receiving from the registration authority a signed token generated by the registration authority after the registration authority verified first user's identity based on said evidence, said signed token being generated by signing with the registration authority secret key a token comprising said first user identification public key and said first user's identity encrypted with said revocation authority public key,a transaction phase, performed by said user device of said first user, comprising: participating with said second users in a Digital Currency transfer transaction to be added to the distributed ledger,wherein said signed token enables the revocation authority to revoke first user's anonymity by retrieving first user's identity.

Automated system and method for processing online idea submissions (with crowdsourcing and anonymity functions), formal complaints and anonymous complaints. The system receives and processes registration information, creates a unique coding entry, and generates an associated keyword database. When the system receives input data from a user, it utilizes the unique coding identifier to relate to the organization, searches the keyword database in any communications involving the registered entity, automatically analyzes the received data, and preforms a zone of reliability verification analysis on the received data. The system also removes private personal information (PPI) for anonymous users, and “locks” and / or encrypts the version with PPI, preventing unauthorized access, and unseals the dataset with PPI information only after receipt of an unsealing order from a court or a governmental entity. The system also automatically generates and transmits reports to governmental entities and others based on the analysis of the reported complaints and legal requirements and guidelines. The system also calculates and utilizes a rating score as part of the engagement process with the registered entity, performs analysis and reporting of the overall industry, and connects the entity with the experts in the area of concern based on the analysis.

The application discloses a kind of based on blockchain's pedigree data dynamic permission access control system and method, rely on attribute-based access control paradigm, and combine pedigree data access constraint to carry out dynamic access control.First, user sends access request to policy decision point;Decision point according to the policy loaded from policy management point, request relevant information to blockchain, and call user historical behavior verification module based on pedigree data, the legality of current access request is verified using dependency relationship and pedigree data graph.System administrator records access request and verification result to blockchain, to support the fast verification of same query, reduce query overhead.In addition, the system passes access information such as query user, time, result, operation content to management node, for subsequent user access tracking and management.The method uses the anonymity and non-tamperability of blockchain, provides strong evidence for user supervision, realizes efficient management and reasoning to source information.

The application relates to the technical field of data privacy protection, in particular to a data privacy protection method and system for a digital campus, which comprises the following steps: obtaining a digital campus data set to be processed; determining the preliminary sensitivity of a data item according to the occurrence frequency of each value in the data item, and performing k-anonymity processing based on the preliminary sensitivity to obtain a preliminary anonymized data set; determining a first record number according to the value on all data items; for each data item, determining a second record number according to the record set with the same value on all data items except the data item, and determining the deepened sensitivity of the data item according to the preliminary sensitivity of the data item, the first record number and the second record number; determining the data item to be deepened according to the deepened sensitivity of each data item, and performing further k-anonymity processing on the data item to be deepened to generate a final anonymized data set. The application improves the privacy protection reliability of multi-source data of the digital campus.

The invention provides a style migration method for enhancing text anonymity, which can be applied to the technical field of natural language processing and privacy protection. The method comprises the following steps: generating a prompt instruction set by utilizing a preset large language model; iteratively matching and translating a plurality of pseudo-parallel corpora with the same meaning but different attributes to obtain a query text library and a reference text library; combining the query text library and the prompt instruction set, inputting the combined query text library and prompt instruction set into a pre-trained text style rewriting model for processing to obtain a generated text, and screening the prompt instruction set through the semantic similarity between the generated text and the reference text library to obtain a screened prompt instruction set; the screened prompt instruction set and the to-be-processed text are combined and then input into a pre-trained text style rewriting model, and a plurality of output texts are generated; and carrying out anonymity effectiveness evaluation and screening on the plurality of output texts by utilizing a preset style migration evaluation index to obtain a text after anonymity enhancement and style migration of the to-be-processed text.

The application claims a kind of anonymous fast identity authentication method for Internet of Vehicles based on double-chain architecture and national secret algorithm, comprising: constructing double-chain system, building system operation framework, including cloud chain, dynamic chain and in-vehicle TEE trusted environment;Initialization system, initialize system parameters, including cryptography curve selection, etc.;Real-name registration, vehicle submits its real identity information to cloud chain for registration, and obtains exclusive digital certificate after success;Pseudonym generation and registration of vehicle, vehicle first generates pseudonym Token locally, then calls the certificate and Token as parameters to call the evidence chain smart contract for anonymous identity registration;Anonymous fast authentication between vehicles, based on dynamic chain between vehicles, anonymous fast authentication between vehicles is realized through pseudonym Token and DH secret key negotiation algorithm.The application is based on double-chain architecture and national secret algorithm, and the evidence chain constructs vehicle node real information network, responsible for the real information trace of malicious node;Dynamic chain provides efficient two-way authentication protocol support between vehicles.

Disclosed is a computer implemented system for digitally authenticating, registering, and enrolling a consumer in a secure online identity verification system that prevents identity fraud and provides public anonymity to the consumer based on the consumer's live feed dynamic biometric information gathered via the Internet, the system wherein the system includes a simultaneous use security system designed for individual consumer identity verification with an encoded display during an active Internet session and at least one or more individual consumer legal identity and verified aliases assigned to the at least one or more of a nom de plume, icon, badge, and avatar and selected for the individual consumer's public identity. The system and method are further designed to allow notarization including self-notarization.

This invention provides an optimized method for controllable anonymity of blockchain smart contracts, belonging to the field of blockchain smart contract technology. This invention generates user private keys using a threshold secret sharing protocol and a three-layer GPU-accelerated architecture, storing the correspondence between identity information and hash ciphertext in a monitoring center. Users sign smart contract call parameters using their private keys and send the results to the blockchain network. Blockchain nodes extract all signatures from the transaction, construct a dependency graph, and group them using a greedy coloring algorithm. Each parallel verification group is then verified in parallel using bilinear pairing batch processing and a three-layer GPU-accelerated architecture. After successful verification, the smart contract business logic is executed to complete the transaction on-chain. Monitoring users retrieve the original user identity information using the hash ciphertext. This invention solves the technical problem of low efficiency in batch signature verification leading to excessively high on-chain computation costs when achieving controllable anonymity in blockchain smart contracts.

The invention discloses a privacy protection method for triangle counting participated by two parties. The privacy protection method is cooperatively implemented by participants A and B. And each participant respectively holds a local graph view angle and a cross-participant graph view angle for describing an internal graph structure and edge connection information between the two parties. Firstly, a participant A and a participant B carry out triangle counting on respective internal graph structures locally, and noise meeting differential privacy requirements is added by adopting a geometric mechanism so as to ensure the privacy of local data. And then, by combining a k-anonymity technology and a differential privacy technology, the two parties can exchange necessary information on the premise of protecting privacy. And finally, cross-participant triangle counting is completed by using the acquired information of the opposite side. According to the method, the accuracy of triangle counting is remarkably improved while the privacy information of the users of the two parties is effectively protected, and good balance between privacy protection and data utility is realized.

The application discloses a kind of seller autonomous auction system and method with bidding anonymity and bid privacy, system includes four entities of seller, bidder, auction platform and anonymous identity provider, and is divided into six stages of initialization, registration, auction release, bidding, winner calculation and transaction.The invention aims at the trade-off between seller autonomy and buyer privacy protection in anonymous auction, and designs a group signature variant-zero-knowledge screenable group signature.The signature combines zero-knowledge proof with group signature, ensuring that the black list screening mechanism defined by the seller does not destroy the anonymity of the bidder.At the same time, by using homomorphic encryption technology, the winning bid calculation of the auction is carried out entirely in ciphertext, realizing the bidding amount and ordering privacy of the bidder.In the final transaction stage, the winner opens the value by presenting the bidding commitment of the winning bid, enabling the seller to correctly identify the winner without revealing their identity, ensuring smooth transaction.