101 results about "Anonymity" patented technology

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.

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 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.

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 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.

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.

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

The invention discloses a spatial crowdsourcing fuzzy task recommendation method and system based on differential privacy, and relates to the technical field of spatial crowdsourcing. Performing fuzzification processing by using a K-anonymity technology according to a task request of a task requester to obtain a fuzzy request and submitting the fuzzy request to a fog node; the fog node receives the fuzzy requests, aggregates the fuzzy requests by using a user-based collaborative filtering technology to obtain a group request, and sends the group request to the cloud server; the cloud server performs task recommendation on the group request by using a BERT2FTR model, and sends the group request to the fog node; and the fog node distributes the group result to the corresponding task requester. According to the method, a BERT2FTR model subjected to differential privacy training is introduced to design a fuzzy recommendation and privacy protection mechanism, fuzzy processing on task requests is realized by using a K-anonymity technology, and the task requests are aggregated by using a user-based collaborative filtering technology. And processing fuzzy task recommendation by using a BERT2FTR model to realize privacy protection.

The application relates to the technical field of data security, in particular to a privacy data desensitization method for a scientific and technological achievement transformation platform, which comprises the following steps: collecting scientific and technological achievement data from the scientific and technological achievement transformation platform, and performing word segmentation and keyword extraction on the text content; performing semantic clustering on the keywords based on the feature vectors of the keywords to construct a generalization hierarchical tree; weighting and fusing the sensitivity and rarity of the keywords to obtain data privacy; dividing equal-length intervals according to the index size of the data privacy, and assigning an adaptive K value to each group for generalization by using a K-anonymity algorithm to perform generalization desensitization processing on the keywords in the scientific and technological achievement data. The application aims to ensure the privacy of high-risk sensitive data in the scientific and technological achievement data and avoid excessive generalization and loss of data effectiveness.

The present application belongs to the technical field of information security, and particularly relates to a blockchain anonymous electronic voting method based on zk-SNARK. The purpose is to prove that the standard model under the standard assumption is safe, and to improve and perfect the characteristics of the existing voting, such as eligibility, privacy, anonymity, double voting, no receipt, anti-coercion and other aspects. Including the following steps: step 1: the initialization algorithm of system running, generating system parameters, and the public and private key pair set corresponding to the candidate; step 2: user registration stage; step 3: when the voter wants to pre-vote the vote vector; step 4: the voter formally votes for the candidate, generates the ciphertext of the encrypted vote and the aggregation result of the ciphertext; step 5: get the final vote number of the candidate.

A multi-robot cooperative navigation method based on anonymity-enhanced perception and adaptive decision-making includes the following steps: S1: Local environmental feature extraction based on residual networks; S2: Anonymity-enhanced perception mechanism fusing relative position information; S3: Probability distribution prediction and priority prediction of decision actions; S4: Adaptive coordinated decision-making based on priority-learnable PIBT. This invention designs a message fusion mechanism based on position encoding in the feature latent space to solve the "message anonymity" problem, and introduces a priority-learnable PIBT strategy at the decision layer to solve the problems of unreasonable priority allocation and priority inversion, thereby improving the generalization and flexibility of multi-robot cooperative navigation and enabling efficient cooperative navigation in a distributed, communicable environment.

The application discloses a k-anonymous trajectory privacy protection method and system based on sub-trajectory similarity. For a real trajectory of a user, start and end points and local extreme points on the trajectory are found out, and then a historical trajectory set and the real trajectory of the user are segmented based on the points to obtain a historical sub-trajectory set and a real sub-trajectory with the same start and end points. Spatial, temporal and semantic similarities of the real sub-trajectory and the historical sub-trajectory with the same start and end points are combined, and a historical sub-trajectory meeting a threshold requirement in the historical sub-trajectory is found out. Then, an area of a closed region formed by the historical sub-trajectory and the real sub-trajectory is calculated, and the historical sub-trajectory is further screened according to the area. Finally, k-1 virtual trajectories indistinguishable from the real trajectory of the user are generated according to the screened historical sub-trajectory, and k-anonymous protection of the real trajectory of the user is realized.

The invention discloses a privacy protection-oriented anonymized data watermarking method and device and a medium, and relates to the field of privacy protection, and the method comprises the steps: encrypting to-be-embedded original watermark information, and generating encrypted watermark information; performing error correction coding on the encrypted watermark information to obtain a watermark coding sequence, and converting the watermark coding sequence into a Gray code sequence; sorting the data records in the original anonymized data set based on preset attributes to obtain a plurality of record groups; based on the segmentation numerical value of the Gray code sequence, determining the number of records needing to be modified in each record group; and randomly selecting the data records corresponding to the number, and modifying the selected data records to generate the anonymized data containing the watermark. By combining cryptographic encryption, error correction coding and a data modification mechanism keeping anonymization, reliable traceability of illegal distributors is realized on the premise of ensuring that the data anonymization level is not reduced, so that an effective balance mechanism is established between data sharing and privacy security.

The application relates to the technical field of data desensitization, in particular to a user sensitive data desensitization method and system for a local database, which comprises the following steps: obtaining to-be-desensitized data and extracting keywords and semantic vectors; constructing a generalization level tree through clustering and a knowledge graph, screening desensitization representative keywords based on path similarity; constructing a desensitization index by comprehensively considering node depth, correlation quantity and distribution characteristics; dividing sensitive levels and dynamically setting an initial K value of K-anonymity according to the desensitization index, and realizing differentiated desensitization processing. The application solves the problem that the existing data desensitization method leads to insufficient protection of high-sensitive data or excessive desensitization of low-sensitive data due to the use of uniform intensity, and achieves the balance between data privacy protection and data utility by dynamically adjusting the initial K value of the K-anonymity algorithm through the construction of the desensitization index.

The invention discloses a cross-level feedback closed-loop deep collaborative trajectory privacy protection method and system, and the method comprises the following steps: constructing a confusion-hiding-reinforcing three-layer deep collaborative privacy protection frame, obtaining original streaming trajectory data, generating a high-deceptive false position based on a lightweight false position generation algorithm, and obtaining a high-deceptive false position. Obtaining preliminary confusion trajectory data; constructing a space-time anonymous region based on a dynamic k-anonymous mechanism, and generating preliminary anonymous trajectory data; dynamic noise is injected through an adaptive differential privacy mechanism to obtain safe trajectory data; comparing the security trajectory data with preset security condition information to obtain a privacy verification evaluation result; a confusion-hiding-reinforcement intelligent cooperative closed loop is constructed through cross-level feedback signals, and dynamic self-adaptive adjustment of a privacy protection strategy is achieved.

During operation, a digital asset (such as a digital file or a token) on an electronic device receives, from the electronic device, a vector of challenges, where the vector of challenges includes N challenges and N is a non-zero integer. Then, the digital asset selects a subset of the vector of challenges. Moreover, the digital asset compares the subset of the vector of challenges with a stored second subset of a second vector of challenges. When the subset of the vector challenges matches the stored second subset of the second vector of challenges: the digital asset deems the electronic device authenticated; the digital asset provides, to the electronic device, a third vector of challenges, where the third vector of challenges includes M challenges and M is a non-zero integer; and the electronic device selects and stores a third subset of the third vector of challenges.

The invention discloses a numerical data generalization desensitization method and a related device, and relates to the technical field of privacy data protection, the method comprises the following steps: initializing an anonymous factor, and inhibiting budget and a data set size; dividing the data set according to the minimum effective digits, and generalizing and filtering each data subset to obtain a plurality of equivalence classes; dividing the equivalence classes, constructing equivalence class tree structures, calculating the inhibition rate of each equivalence class, sorting the equivalence classes according to the inhibition rates from small to large, updating the current maximum inhibition rate for each equivalence class tree structure based on a sorting result, and performing recursive merging pruning until the maximum inhibition rate constraint is met; and traversing leaf nodes of all equivalence tree structures, when the size of the corresponding leaf node is greater than or equal to the anonymous factor, replacing data in the equivalence class with a generalization value corresponding to the equivalence class, and adding the generalization value into a result data set to obtain a result set. According to the invention, the accuracy and authenticity of a generalization result can be improved.

A system and method for facilitating commercial arrangements and anonymous age verification between relying parties and age verification providers. The system maintains user anonymity while verifying age and keeping an anonymous tally of age verifications through a secure application.

The invention provides a server auxiliary registration base searchable encryption method suitable for an anonymous platform. The method comprises the following steps: firstly, generating and disclosing a universal character string in a system initialization stage; then the user uses the general character string to generate a public and private key pair of the user and uploads the public and private key pair to the key center; the secret key center binds the identity of the user with the position information in the general character string to complete registration of the user; the data owner uses the identity of the data requester, combines the general character string, cooperates with the keyword server network, does not need the public key of the data requester to encrypt the keyword to form a keyword index, and sends the keyword index to the cloud server; when a data requester wants to search for data, the data requester encrypts a keyword by using a private key of the data requester to form a trap door; and after the trap door is received, the cloud server matches the trap door with the index and returns a corresponding search result. According to the method, a searchable encryption scheme which has complete anonymity, resists keyword guessing, can be efficiently retrieved and has no single-point failure risk is constructed.

The application provides a data processing method, which can be applied to an end-cloud communication system or other systems requiring protection of data privacy. The method comprises the following steps: a user end can generate a transmission path by confusing a plurality of nodes randomly selected from a large number of relay nodes, other user ends or other service ends; and the user end can perform multi-layer encryption on data according to node information on the transmission path. In this way, in the process of transmission of the multi-layer encrypted data in the transmission path, each relay node on the transmission path can only decrypt one layer of data corresponding to the relay node, and the next layer of data obtained is in an encrypted state, so that each relay node cannot determine its position in the transmission path and cannot determine the source of the first encrypted data, and a service end cannot determine the source of the encrypted data after receiving the encrypted data. In this way, the security of data transmission is improved, and the anonymity of communication is improved.

This application discloses a covert query method, apparatus, electronic device, and storage medium. In response to a query request for data to be queried, a query identifier for the data to be queried is determined. The query identifier is used to determine the fragmented storage area of ​​the data to be queried in the service provider's database. The query identifier is sent to the service provider, instructing the service provider to query and return the ciphertext sequence and corresponding location index sequence in the fragmented storage area corresponding to the query identifier. The fragmented storage area is an area where the service provider stores data in fragments based on the original location indexes of each data in the database. The ciphertext sequence and location index sequence are obtained, and the target ciphertext is determined from the ciphertext sequence based on the location index sequence. A covert key sequence sent by the service provider based on an unintentional transmission protocol is obtained, and the target key of the target ciphertext is determined from the covert key sequence. The target ciphertext is decrypted based on the target key to obtain the plaintext information of the data to be queried. This application reduces the amount of data queried and improves the query efficiency of the covert query system.

This invention discloses a decentralized, traceable ring signature authentication method, system, and storage medium. The ring signature result is verified against a public key vector to confirm the legitimacy of the signer corresponding to the ring signature result. If the ring signature result passes verification and the number of users agreeing to trace it is greater than or equal to a threshold, the index of the signer members can be obtained through the fragmented private keys of the traced users, thereby completing the traceability operation. The technical solution of this invention provides anonymity and decentralized traceability for signers, improving the security and reliability of digital signatures.

The technical scheme belongs to the field of encryption technology, and discloses a privacy-enhanced fully dynamic traceable group encryption method.The technical scheme coordinates the receiver anonymity and traceability in the statistical sense while realizing the full dynamic nature of group encryption.A privacy-enhanced fully dynamic traceable group encryption is proposed, and its syntax and security requirements are formally given.As a key component, the technical scheme designs an anonymous label system with controlled traceability and declaration, and gives the formal definition and specific construction.Based on this component, the technical scheme proposes a general privacy-enhanced fully dynamic traceable group encryption construction and proves its security.Further, the technical scheme gives a pairing-based instantiation scheme which combines standard cryptographic components including selective labels, CCA2-secure R NEQ‑ lossy public key encryption scheme, and performance analysis is provided to show its feasibility.

The purpose of the present invention is to provide a new data utilization system in which, while an individual independently uses and utilizes one's own personal data, security and anonymity of the data can be effected. An information processing device used by an individual comprises{circumflex over ( )} a function of transmitting, over a network, data relating to an address on a blockchain network used by the individual to a provider-side information processing device comprising a storage device that is a provision source of data associated with information about the individual! a function of referring to access data (ACT) that includes the data relating to the blockchain network address and data for identifying the provision source of the data and that is issued by the provision-side information processing device for the blockchain network address! and a function of, on the basis of the access data (ACT), acquiring the data associated with the information about the individual from the provider-side storage device and storing said data at least in a storage device or a memory of said individual.