178 results about "Anonymity" patented technology

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 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.

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 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 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.

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 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.

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 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.

The application relates to a cloud auditing method and system for anonymous data. The method comprises the following steps: a group administrator sets an initial group state, a key generation center (PKG) generates a master key, a partial key and public parameters; the group administrator allocates a unique identifier to each group user; the group administrator generates a first key pair and distributes the first key pair to the corresponding group user; the group user generates a file label, calculates a corresponding verifier for each block of the file, and a cloud server verifies the correctness of the file label and the verifier; a third-party auditor (TPA) generates an auditing challenge; the cloud server creates a corresponding proof; and the TPA verifies the correctness of the proof. The technical scheme provided by the application introduces a new anonymous strategy in the auditing model, an anonymous strategy based on group element equivalence class replacement realizes anonymity and traceability only with constant level consumption, and can simultaneously support the functions of anonymity, user revocation and traceability.

The application provides a kind of high-efficiency electronic voucher verification method based on homomorphic aggregation under the cloud environment of Internet of Vehicles, belongs to the technical field of Internet of Vehicles security.Its technical scheme is: including the following steps: S10 system initialization;S20 entity registration;S30, vehicle key generation;S40, vehicle pseudonym generation;S50, single vehicle signature generation;S60, vehicle homomorphic aggregation signature;S70, homomorphic aggregation signature verification.The beneficial effects of the application are: the application reduces the calculation overhead of electronic voucher message verification process, and relieves the computing pressure of the cloud;Through the certificateless homomorphic aggregation signature message verification protocol and dynamic pseudonym technology, anonymous privacy protection is realized, the reliability of user identity is guaranteed;At the same time, the electronic voucher signature message sent by the vehicle is also guaranteed to be unforgeable, and the integrity, authentication and non-repudiation of the message are realized, and the anonymity and unlinkability of the vehicle identity are realized.

The present application relates to a compact Merkle tree zero-knowledge circuit judicial authentication method, comprising the following specific steps: registering identity attributes and constructing CPMT, authenticating anonymity / multi-factor and loading CPMT witness, generating CPMT-ZK proof and verifying on the block chain, cross-domain authorized access and reading end-cloud chain collaborative data, evidence solidification and generating a judicial verifiable chain link, the present application realizes the minimum disclosure of attribute and path information through zero-knowledge proof, avoids sensitive information leakage, reduces the risk of information abuse, reduces the proof generation and verification overhead through the optimized CPMT-ZK circuit and batch proof mechanism, meets the high-concurrency authentication and mobile terminal deployment requirements, through the quantifiable control of false positive rate, version management and digital evidence chain certificate support full-link traceability, recheckable, meet the requirements of judicial scene on compliance and accountability.

A verbatim feedback processing system utilizes generative Artificial Intelligence (AI) which has been trained to rewrite text in a manner that retains the meaning, tone, sentiment, and the like, while also anonymizing the text by removing personal identifiable information. The anonymized feedback is then processed by a similarity validation component and an anonymity validation component. The similarity validation component determines whether the anonymized feedback is within a predetermined similarity threshold of the original feedback. The anonymity validation component determines whether the anonymized feedback satisfies anonymity requirements. If anonymized feedback satisfies similarity and anonymity requirements, the anonymized feedback is stored in an anonymized feedback database.

A trust measurement and remote certification method and system for the perception layer of an Internet of Things, characterized in that the method comprises the following steps: step 1, establishing a trust measurement model based on the static parameters and dynamic parameters of the perception nodes in the perception layer, and obtaining weights of different trust measurement models based on measurement time and information entropy in different networking modes of the perception layer of the Internet of Things to achieve the solution of a comprehensive trust value; step 2, using the comprehensive trust value and the energy trust value of the perception node to perform trustworthy logical grouping on the perception node; step 3, generating a group signature of the perception node through a dynamically updated key, and achieving trustworthy certification of the perception node from a remote node based on unforgeability analysis and anonymity analysis.

The invention discloses an anonymous certificate entrusting method supporting revocation and attribute selective disclosure. The method comprises the following steps: generating system parameters; generating a user key; a user registers in a trusted revocation center TRA; constructing and sending a delegation voucher; the entrusted issuer verifies the received anonymous certificate; the user proves the authenticity of the attribute to the entrusted issuer; issuing a certificate to the user by the entrusted issuer; the user selects part of attribute information to be disclosed, a corresponding commitment value is generated for undisclosed attribute information, and the user sends the part of attribute information, the commitment value and the anonymous certificate to a verification party together; and the verifier verifies the legality of the user attribute. According to the invention, through a chain type randomization structure and a public key generation mechanism, a issuer is prevented from tracking and associating a user identity fundamentally, and anonymity is ensured. A user can flexibly and controllably disclose attributes, and information leakage is minimized while anonymity is guaranteed.

Disclosed herein are a computing device, method, and computer-readable medium embodiments for altering video and / or audio data during a media-based interaction to protect anonymity of one or more users in the media-based interaction for the purpose of removing bias from the media-based interaction. In some aspects, video and audio data including facial information and speech data of a user may be streamed during the media-based interaction between client devices. The video and audio data may be altered in real-time during the media-based interaction to change the visual and / or audio aspects of one or more users during the media-based interaction. This alterations to the video and audio data may be based on identifying visual and audio features from a list of one or more visual and audio identifiers associated with age, sex, and / or gender. The alteration results in a new virtual representation presented during the interaction that anonymizes the user.

The Internet generally provides anonymity to the online activities of visitors to web sites and other online resources. This prevents the operators of web sites and others from identifying visitors who do not wish to be identified. Accordingly, embodiments generate mappings between entities (e.g., IP addresses, domains, cookies, or devices) and accounts (e.g., companies) to de-anonymize online activities. In an embodiment, summary mappings are generated based on activity data. Each summary mapping may comprise an entity, potential account identifier, and an activity vector that measures observations of an association between the entity and potential account identifier from an activity source for multiple summary periods. A model may be applied to the summary mappings to compute signal strengths for a plurality of candidate mappings. A winning mapping may then be selected for each entity in the candidate mappings, and used to associate the entity with an account in one or more downstream functions.

The invention provides a high-efficiency self-adaptive microdata desensitization method and system for enabling a large language model, which solve the problems of high data desensitization cost and the like, and comprises the following steps of: S1, identifying and classifying privacy information, identifying field types in a data table, and distinguishing a direct identifier DI, an undetermined direct identifier PDI, a quasi identifier QI and a privacy risk-free field; s2, performing field association analysis, namely analyzing an association relationship between the DI field and the QI field; s3, performing generalization desensitization on the QI, and performing generalization desensitization on the selected QI field to realize K-anonymity; s4, correcting the QI desensitization amp according to the correlation between the fields; carrying out DI pseudonymous desensitization, repairing privacy vulnerabilities caused by logic association among fields participating in generalization desensitization by combining the use of a large language model, and desensitizing QI and DI fields which do not participate in generalization on the basis of a desensitization result after vulnerability repairing; and S5, outputting desensitization data, integrating desensitization results, and generating a final data set. The method has the advantages of good data desensitization effect, high availability and the like.

This invention belongs to the field of information security technology, specifically to a decentralized traceable ring signature method and system based on blockchain. The method comprises: S1, generating global parameters through a system initializer and generating key pairs for the signing user and the tracer group; S2, constructing and generating a traceable ring signature based on the key pairs generated in step S1 for the signing user and the tracer group; S3, when the identity of the signer needs to be revealed, tracers who meet a set threshold submit key shares, jointly restore traceability, and locate the true signing user based on the traceable ring signature. This invention is more secure, reliable, transparent, and conforms to the principle of decentralization, while also ensuring the anonymity of user data processing.

The invention relates to a high-security hidden communication system, and belongs to the technical field of information security. According to the system, the mark feature and the structural feature of encrypted data are eliminated through a strong encryption technology, the key feature of the encrypted data is eliminated, the key security is ensured, the ciphertext security is improved, and the risk problem brought by side channel analysis to the data encryption security is solved; a double-layer covert channel is realized through a multimedia steganography technology and a flow simulation technology, the concealment of communication behaviors is greatly enhanced, and the problem of insufficient concealment of a single-layer covert channel is solved; the hidden communication technology with both concealment and anonymity is realized by combining the hidden channel with the anonymous network, and the problems that the anonymous network has obvious traffic characteristics and network boundary nodes are easy to expose are solved.

A system is provided.SOLUTION: A system, comprising: means for receiving a sentence input by a user; means for analyzing the received sentence to identify stylistic and idiomatic peculiarities; means for generating a sentence with enhanced anonymity by removing the stylistic and idiomatic peculiarities based on a result of the analysis; means for transmitting the generated sentence to a terminal of the user; means for allowing the user to confirm and modify the generated sentence; and means for storing and publishing the modified final sentence in a database.SELECTED DRAWING: Figure 1