29 results about "Information privacy" patented technology

The invention provides a privacy protection multi-task allocation method for an unmanned aerial vehicle crowdsourcing perception system, which combines addition secret sharing and homomorphic encryption to realize bilateral privacy protection of a task side and an unmanned aerial vehicle position. The task requester and the working party split a task position and a UAV departure position into two secret shares [.] 1 and [.] 2 by adopting an additive secret sharing mechanism respectively, and send the two secret shares [.] 1 and [.] 2 to the two independent service parties S1 and S2 respectively; the service party calculates an encrypted square Euclidean distance between the UAV and the task based on the shared share, and generates two distance matrix shares D1 and D2. On the basis, the two service parties cooperatively execute privacy comparison and a minimum index protocol under the optimized Paillier, and multi-task encryption shortest path distribution is realized in combination with a Hungary algorithm. According to the method, addition secret sharing is fused, Paillier encryption and task matching optimization are optimized, the total flight path of the UAV is remarkably reduced while position information privacy of the whole task allocation process is guaranteed, and good safety and deployability are achieved.

The invention belongs to the technical field of block chain ERP (Enterprise Resource Planning), and discloses an enterprise ERP management system based on a block chain, which realizes credible sharing through an alliance chain architecture of a block chain base layer, ensures sensitive information privacy through a zero-knowledge proof technology, and can establish cooperative trust without endorsement of a third-party mechanism; the intelligent contract of the supply chain cooperation unit automatically executes cooperation rules such as purchase and acceptance, and trust disputes caused by manual intervention are avoided; the intelligent contract engine drives the unit processes of supply chain, production, finance and the like to be automated, so that end-to-end linkage of purchase-production-finance is realized, and manual operation links are reduced; the dynamic contract updating function enables the enterprise to quickly adapt to the business rule change, and the online period of a new business scene is shortened; the digital twinborn technology of the production management unit is fused with the AI model of the data analysis center, so that the decision accuracy of production scheduling and inventory management is improved, the resource configuration is optimized, and the problems of solidified process and slow response of the traditional ERP (Enterprise Resource Planning) are solved.

The invention discloses a federated learning privacy protection and attack defense method, which relates to the technical field of artificial intelligence and information privacy security crossing, and comprises the following steps: a client performs training based on local data and generates update, dynamically allocates privacy budget by evaluating the contribution degree of each network layer to model performance, and finally performs privacy protection and attack defense. The method comprises the following steps: reducing noise at a key layer to retain the utility of a model, enhancing disturbance at a non-key layer to improve privacy protection, uploading an update after noise addition to a server, predicting an update to be submitted by a client based on a historical training process by the server, calculating a deviation value between an actual update and a predicted update, and constructing a behavior evaluation value by combining multiple rounds of deviations. The method comprises the following steps: identifying and isolating abnormal clients by utilizing clustering analysis, dividing normal clients into fixed groups for intra-group aggregation, periodically executing global aggregation to update a model, starting an intra-group recovery mechanism when abnormality is detected, and performing local retraining and reconstruction aggregation output by the normal clients in the same group, thereby realizing safe and efficient federated learning.

The invention discloses an energy sharing mutual aid benefit balanced distribution mechanism among multiple micro-energy networks, which belongs to the field of multi-micro-energy network system operation scheduling, and comprises the following steps: S1, dividing micro-energy network groups and combined pairing according to a matching index of a comprehensive curve form and a distance of micro-energy network source and load data, and constructing a micro-energy network benefit objective function; s2, introducing contribution, cost and risk factors into a traditional Shapley value method model, and constructing an improved Shapley value method model; and S3, performing distributed optimization solution on the micro-energy network cooperation alliance based on an ADMM algorithm, and realizing benefit balanced distribution by adopting a cooperation game strategy of an improved Shapley value method model. According to the method, the interaction efficiency is improved by dividing the group through source load matching, the information privacy is protected by using the ADMM algorithm, fair distribution is realized by improving the Shapley value method model, and the method is suitable for collaborative optimization operation of a multi-micro energy network system.

The invention relates to the technical field of virtual power plants, in particular to a virtual power plant multi-class power resource collaborative clearing method considering uncertainty, and the method comprises the steps: constructing a hierarchical interaction architecture of a virtual power plant and a power grid for multi-class power resources provided by the virtual power plant for the operation of the power grid; constructing a virtual power plant operation model by taking an energy storage operation constraint, a micro gas turbine operation constraint, an electric energy transaction constraint, an electric power balance constraint and a multi-class electric power resource balance constraint as constraint conditions and taking minimization of the operation cost of the virtual power plant as a target; establishing a multi-virtual power plant multi-class power resource collaborative clearing optimization model; aiming at uncertainty of new energy output, introducing distribution robust opportunity constraints, and constructing a virtual power plant multi-class power resource distribution robust collaborative clearing optimization model; and considering information privacy of each main body and energy and information interaction among a plurality of virtual power plants, proposing a distributed solution algorithm fusing a bisection method and an alternating direction multiplier method, and solving the collaborative clearing optimization model.

The invention belongs to the technical field of coal mine safety authentication, and discloses a coal mine safety terminal mixed identification authentication system based on a private block chain, which uses the private block chain and a hierarchical consensus architecture, combines a PBFT and PoS mixed algorithm to distribute node differentiation weights, and gives a consensus verification negative right to a supervision node. The monitoring requirement is met while the decentralization characteristic is guaranteed, and dependence on a single central server is not needed any more; even if part of nodes break down or are attacked, the fog node self-organizing network can take over tasks quickly, authentication interruption of the whole system is avoided, and the high requirement for zero interruption of coal mine production is met. Meanwhile, a terminal full-life-cycle tracing chain is constructed by utilizing the characteristic that data on the chain cannot be tampered and a cross-chain hash synchronization technology, and a zero-knowledge proof and differential privacy algorithm is matched, so that authentication data is prevented from being tampered, sensitive information privacy can be protected, and responsibility tracing difficulty is reduced.

The invention provides a patient information privacy protection method for a sharing system of a three-dimensional physical examination system, belongs to the technical field of data processing, and is used for effectively balancing the requirements of privacy protection and data sharing. The method comprises the steps that the electronic equipment obtains physical examination information of a patient, the physical examination information comprises a first type of target physical examination information, a second type of target physical examination information and a third type of target physical examination information, and the privacy protection priority of the first type of target physical examination information is higher than that of the second type of target physical examination information; the electronic equipment executes first security processing on the first type of target physical examination information to obtain first type of target hidden information, and the electronic equipment executes second security processing on the second type of target physical examination information to obtain second type of target hidden information; and the electronic equipment stores the first type of target hidden information, the second type of target hidden information and the third type of target physical examination information into a three-dimensional physical examination system sharing system.

The application discloses a face image privacy protection method based on attention and a generative adversarial network, comprising the following steps: step one, constructing a self-attention perception generative network; step two, constructing a spatial attention guide discriminant network; step three, determining an attention-generative adversarial network optimization objective function; and step four, training the attention-generative adversarial network and outputting a final result. The application can improve the utility of the de-identified face image by retaining more abundant details of the de-identified face image, generate a high-fidelity de-identified face image, and ensure that the privacy attribute cannot be detected and the user's personal information privacy cannot be leaked.

This application provides a method for protecting patient information privacy in a three-dimensional physical examination system sharing system, belonging to the field of data processing technology, to effectively balance the needs of privacy protection and data sharing. The method includes: an electronic device acquiring a patient's physical examination information, which includes first-type target physical examination information, second-type target physical examination information, and third-type target physical examination information, with the privacy protection priority of the first-type target physical examination information being higher than that of the second-type target physical examination information; the electronic device performing a first security processing on the first-type target physical examination information to obtain first-type hidden target information, and the electronic device performing a second security processing on the second-type target physical examination information to obtain second-type hidden target information; and the electronic device storing the first-type hidden target information, the second-type hidden target information, and the third-type target physical examination information in the three-dimensional physical examination system sharing system.

The present disclosure relates to a system to proactively detect in real time one or more threats in crowded areas. The present disclosure presents a proactive system for real-time threat detection in crowded areas. Utilizing a network of imaging sensors and advanced machine learning algorithms, the system identifies suspicious individuals, objects, and behavioral patterns within a predefined area. The system detects potential threats such as individuals on watch lists, suspicious objects like unattended bags, and abnormal behaviors indicative of security risks, by continuously monitoring and analyzing images and video feeds. Upon detection, the system promptly notifies authorities, providing detailed information on threat location, suspected individuals, and behavioral analysis. Privacy-preserving measures, including encryption of facial recognition data, ensure compliance with privacy regulations. The present disclosure offers a scalable, efficient, and automated solution to enhance security measures, reduce response times, and safeguard public safety in dynamic urban environments.

This invention discloses a personalized location trajectory privacy protection method based on mutual information, belonging to the field of crowdsourced sensing technology. It includes: Step 1: Data preprocessing; Step 2: After generating the Markov matrix in Step 1, the matrix is ​​normalized, and a location privacy protection mechanism is established by setting a distortion threshold and regularization parameters; Step 3: Measuring the effectiveness of location privacy protection. This method generates a Markov transition matrix by merging user location trajectory data, analyzes implicit privacy information and adds distortion perturbations, and uses mutual information to measure the degree of privacy leakage, achieving a trade-off between privacy and usability. It solves the problem that existing technologies cannot effectively overcome the risk of location information privacy leakage.

The invention provides a multi-time-sequence integrated energy system control optimization method considering autonomy and collaboration. According to the method, through collaborative optimization of an IMES system operator and autonomous optimization of each MES superior coordinator, economic mutual aid is realized on the premise of ensuring the operation right and information privacy of each MES, the collaborative planning problem among multiple energy systems is effectively solved, and the efficient scheduling and dynamic adaptive capacity of the systems is improved. The power consumption cost minimization under different time scales is used as a target function, the consideration of factors such as the uncertainty of energy supply and demand response is realized, the economy and reliability of the system are improved, the peak load demand and the overall energy consumption are effectively reduced by the system autonomous adjustment and collaborative optimization mechanism, and the energy-saving and consumption-reducing effects are remarkable.

This invention discloses a method and apparatus for analyzing low-frequency oscillations in a converter-synchronous machine hybrid power supply system, belonging to the field of power system transmission and distribution technology. The method includes: establishing a linearized model of the entire hybrid power supply system under small disturbances; establishing a port impedance model of the converter and an impedance model of the power network, as well as an external port impedance model of the synchronous machine considering the embedded internal impedance of the converter and a damping torque model of the synchronous machine; constructing a damping torque stability criterion based on the external port impedance matrix of the synchronous machine; analyzing the influence of the converter's dynamic characteristics on the phase shift of the main and auxiliary diagonal elements of the external port impedance model of the synchronous machine, and deriving the key factors inducing low-frequency oscillations in the converter-synchronous machine hybrid power supply system. This invention achieves a unified analysis framework independent of specific converter control strategies, effectively protecting the information privacy of both the power grid dispatching department and the converter operator, and providing guidance for suppressing low-frequency oscillations in converter-synchronous machine hybrid power supply systems.

The invention provides a federal learning-based stock position privacy protection risk scene simulation system and method. The system comprises a terminal side position data processing module which is used for acquiring and processing local user position data; the risk scene parameter model module is used for providing a parameterized risk scene generation model; the federation training and synchronization module is used for calculating update information for optimizing the risk scene generation model based on the local user position data; the privacy protection and security aggregation module is used for performing privacy protection processing on the update information; the terminal side Monte Carlo simulation engine module is used for simulating a user position combination based on the updated risk scene parameter model and outputting a risk distribution result; the aggregation service module is used for receiving update information uploaded by a plurality of client terminal devices and performing aggregation operation to generate model parameters of the updated risk scene generation model; and the parameter version management module is used for storing, managing and distributing the updated model parameters of the risk scene generation model.

The invention discloses a digital copyright protection-oriented multi-party collaborative certificateless mimicry signature method, which integrates secure multi-party computation (MPC) and a threshold symmetric encryption mechanism, and avoids the key leakage risk and single-point fault problems caused by centralized storage by cooperatively generating and managing a key through a plurality of committee nodes. In the signature generation stage, a mimicry signature structure is utilized, and the copyright identifier is hidden and embedded through a random number redundant space, so that the signature and the copyright identifier are organically fused without influencing the verification correctness. In the copyright traceability stage, the copyright identifier can be reconstructed only by recovering the random number embedded in the signature through multi-party cooperation, and the secret key is not leaked or the signature security is not damaged in the recovery process, so that the safe and reliable traceability of the digital copyright is ensured. The method has signature verifiability, information privacy protection and copyright traceability, and can provide safe and credible technical support in digital work right confirmation, authorization tracking and responsibility tracing.

The invention provides an information desensitization recovery method, an end-cloud cooperation system, a device and electronic equipment, and relates to the technical field of data processing, data to be processed are input into a pre-trained encoder for information separation, desensitization features and sensitive features are obtained, the limitation of an existing static sensitive information list on application fields and data types is broken through, and the data processing efficiency is improved. The sensitive information can be dynamically identified and separated without depending on a predefined sensitive field, so that the information privacy in a data reasoning process is effectively improved; meanwhile, after the desensitization features are input into the preset data processing model to obtain the first reasoning result, the first reasoning result and the sensitive features are fused through the pre-trained decoder to obtain the target reasoning result, the problem that information is lost in the reasoning process due to the fact that the sensitive information is filtered is avoided, the sensitive information needed by reasoning is supplemented, and the reasoning accuracy is improved. Therefore, the accuracy of the model reasoning result is improved.

The invention discloses a decentralized anonymous certificate management and privacy protection verification method, which is characterized in that a certificate issuing request and privacy parameters are sent to a target certificate issuing mechanism through a certificate subject, the certificate issuing request comprises a VRF public key and subject information of the certificate subject, and the privacy parameters comprise subject privacy information; after the target certificate issuing mechanism verifies the subject privacy information and the subject information, a target anonymous certificate is generated according to a preset certificate template, the VRF public key of the certificate subject and the privacy parameters; aggregating sub-signatures generated by a plurality of second certificate issuing mechanisms for the target anonymous certificate to obtain an aggregated signature, and generating a target threshold signature according to the aggregated signature; and storing the target anonymous certificate and the target threshold signature, and sending storage information to the certificate body. According to the invention, through decentralized key generation, the certificate issuing and management right is dispersed to a plurality of certificate issuing mechanisms by using a threshold signature method, so that the risk of single-point failure of the certificate issuing mechanisms is eliminated.

The application discloses a kind of edible agricultural products traceability and supply chain management system, the present application relates to agricultural product supply chain informatization and data credible management technical field, including: data acquisition and authentication module, for from the multiple terminal equipment deployed in agricultural product production end Multimodal source data acquisition, and the identity authentication of production subject, the multimodal source data includes environmental sensing data, operation event data and key node image data.The edible agricultural products traceability and supply chain management system, the adaptability of model to diversified production scene and unknown abnormality is improved, realizes from production to the whole process coherent depiction and visual analysis of sale, via independent double engine verification and consensus mechanism processing data, cross-chain storage is authenticated after through oracle network, while guaranteeing sensitive information privacy, ensure the consistency and public credibility of traceability information in complex cooperation network.

This invention discloses a layered adaptive network intrusion prevention system and method for resource-constrained edge computing scenarios, comprising: an edge rapid perception layer that collects multimodal data, quickly screens it, and generates structured natural language descriptions; an edge intelligent judgment layer that receives the structured natural language descriptions, performs semantic reasoning through a dynamically fine-tuned large-scale language model, and outputs threat judgment results; a fog-layer regional collaborative aggregation layer that acquires de-identified information generated from the threat judgment results, performs privacy-preserving aggregation and correlation analysis, and outputs regional threat reports and high-value samples; and a cloud-based cognition and evolution layer that generates synthetic threat data based on high-value samples, performs quality control screening, fine-tunes the screened data to obtain new adapters, and distributes them to the edge intelligent judgment layer. This invention achieves adaptive detection, privacy protection, and continuous evolution in resource-constrained environments, improving the defense capability against unknown attacks.

A user equipment of a wireless communication system according to an embodiment is provided. The user equipment is configured for generating an emergency context for the user equipment, such that the emergency context comprises first information and further information. Moreover, the user equipment is configured for transmitting the emergency context to another entity of the wireless communication system for making the emergency context in case of an emergency situation available at the other entity of the wireless communication system. The first information of the emergency context comprises at least one of: an information to distinguish an emergency SMS from a standard SMS, a location of the user equipment, a time when the location of the user equipment has been determined, an actual time of the user equipment, an actual date of the user equipment. The further information of the emergency context comprises at least one of: user-specific information comprising information on a user or a state of the user of the user equipment, device-specific information comprising information on the user equipment, environment-specific information comprising information on an environment in which the user equipment is located, privacy information comprising privacy settings that shall apply in case of an emergency, emergency transmission information comprising information for transmitting data in an emergency situation, an emergency message. The further information of the emergency context is different from the location of the user equipment, and is different from the time when the location of the user equipment has been determined, and is different from the actual time and the actual date of the user equipment.

The invention discloses an information matching method and device, equipment, a medium and a product. The method comprises the following steps: acquiring encrypted candidate resource information and encrypted enterprise demand information; the encrypted enterprise demand information comprises at least one encrypted field and a function label of each encrypted field; determining a matching algorithm corresponding to each encrypted field according to the function label of each encrypted field; and based on the matching algorithm corresponding to each encrypted field, performing matching calculation on each encrypted field and the encrypted candidate resource information to obtain an information matching result. Through the technical scheme of the invention, the investment attraction resource information and the enterprise demand information can be encrypted, and information matching calculation is completed on the premise of not decrypting, so that the risk of information leakage is avoided, the information privacy of a supplier and a demander is protected, the authenticity of data filling is improved, and the success rate of investment attraction is increased.

The invention discloses an information privacy protection-based distributed model prediction control method for heat generation and disappearing people buildings in an energy community. The method comprises the following steps of: constructing an energy community operation framework and a state space model interconnected with the heat generation and disappearing people buildings; establishing an optimization problem and constraint aiming at minimizing the total operation cost; in each rolling optimization period, based on a privacy protection strategy, the building iteratively exchanges expected interaction thermal power information subjected to Hadamard conversion processing with the adjacent building to obtain collaborative information; solving a local optimization problem in parallel by each building, and obtaining and executing an optimal control sequence; and updating the state and rolling to the next period. According to the invention, while distributed optimization regulation is realized, interaction privacy is effectively protected, community heat energy interaction enthusiasm and solar energy consumption level are improved, and expandability of the method is ensured.

The invention discloses a multi-network energy system distributed scheduling method based on a dynamic charging price mechanism. The method comprises the following steps: constructing a multi-network energy system optimization model of the dynamic charging price mechanism; the ADMM algorithm is corrected based on a decoupling cooperation mechanism, and a TM-ADMM algorithm is obtained; and based on the multi-network energy system optimization model and a TM-ADMM algorithm, carrying out distributed scheduling function test on the multi-network energy system. According to the method, a multi-network energy system optimization model of a dynamic energy charging price mechanism is constructed, and the road congestion degree and the energy charging station saturation degree of a traffic network level and the energy adequacy degree of a comprehensive energy system level are taken as guidance, so that the energy charging order of an electric vehicle user and a hydrogen electric vehicle user is effectively guided. According to the method, dual variables and coupling variables are updated through a distributed solving method of the TM-ADMM algorithm, and convergence is improved while information privacy is guaranteed.

A method for synchronized and distributed processing multi-channel image and video stream based on 5G environment is provided, including: transmitting multi-channel the same pulse signals to a data collecting circuit by a pulse transmitter, the data collecting circuit transmits the pulse signal to an image capturing circuit, and the image capturing circuit triggers a camera capturing system to start to simultaneously capture images and video stream. Distributing multi-channel traffic of the cameras via distributed edge computing and distribution processing, so as to locally process the captured images and video stream directly. Such that, the bandwidth pressure is significantly reduced and the risk of terminal sensitive data information privacy leakage is reduced, too. Performing same data-time classification on the captured images and video stream by using timestamp protocol, and finally performing, on the classified images and video stream, a synchronized and distributed sub-packaging and transmission to a backend processing server.

The embodiment of the application belongs to the technical field of artificial intelligence, and is specifically applied to a car moving scene, and relates to a safe car moving method based on a vehicle insurance policy and a related device thereof, which comprises the following steps: obtaining a vehicle picture containing license plate information; extracting the license plate information; obtaining an insurance policy signed for the vehicle from a preset authoritative platform; determining a vehicle owner's mobile phone number according to the insurance policy; judging whether the vehicle owner is a user who can be directly pushed to move a car according to the vehicle owner's mobile phone number; if the vehicle owner is a user who can be directly pushed to move a car, a car moving reminder is directly pushed to the vehicle owner; and if the vehicle owner is not a user who can be directly pushed to move a car, a car moving instruction is sent to the vehicle owner's mobile phone number in a virtual number mode. Without reserving a contact method, a two-dimensional code and a number checking call on the vehicle, the car moving instruction can be sent, and the personal information privacy of both parties of a car moving request and a car moving response can be protected.

The invention discloses a campus mutual assistance system, which comprises a central data processor, a personnel management unit, a task release management unit, a task receiving management unit, a communication management unit and a task settlement management unit, and is characterized in that the campus mutual assistance system is connected with a network through a mobile terminal to perform data information interaction with a user; the central data processor is used for interaction and storage of data information between mobile terminals of users; the personnel management unit is used for user registration management, user information authentication, password management and personal account management; the task issuing management unit is used for issuing entrusting tasks and setting awards; the task receiving management unit is used for receiving entrusted tasks; the communication management unit is used for information privacy communication of entrusting tasks; and the task settlement management unit is used for award settlement of the task entrusting party and the receiving entrusting party.

The present invention relates to a system for managing information by means of dynamic NFTs, said NFTs being made up of separate information blocks that are encrypted asymmetrically and managed by means of smart contracts. The system comprises: - Dynamic Fractional NFTs, which represent specific categories, and each information block within the NFT is encrypted; - Smart contracts for controlling access to the information in each category; - Decentralised Oracles for Automatic Updating, which comprise processing means for verifying and updating the information contained in the dynamic NFTs; - Zero-knowledge proof (ZKP) means for secure verification; - Redundancy and distributed storage media, such as IPFS or Arweave; and - Means for protecting privacy and secure transactions, which protect information privacy and transaction security when both accessing information and updating it. The system manages information bundled in different categories by using dynamic NFTs, wherein both accessing and updating the information is carried out in a controlled and secure manner.

The application provides a passenger information sensing method, a passenger information sensing device and a vehicle. The passenger information sensing method is applied to a passenger information sensing device on a vehicle. The passenger information sensing device comprises a distance sensor. The passenger information sensing method comprises the following steps: after a target passenger is seated on a seat, controlling the distance sensor to scan at least the target passenger, and determining passenger information of the target passenger according to a corresponding distance detected by the distance sensor during the scanning process. The passenger information comprises at least one of a limb size, a weight and a body fat of the target passenger. The passenger information sensing method provided by the application can obtain the passenger information of the target passenger without setting a camera, does not obtain human private information, has higher privacy, and is beneficial to the wide use of in-vehicle information sensing technology.

The application discloses a user information privacy protection method and related devices. After receiving a session establishment request sent by a UE, an AF sends a key identifier calculated according to a target rule and an identity identifier of the AF to a target network element, so that the target network element determines a key of the AF according to the key identifier calculated according to the target rule and the identity identifier of the AF. Then, the AF receives the key of the AF sent by the target network element, and responds to the session establishment request based on the key of the AF. By calculating the key identifier according to the target rule, other AFs can be prevented from using the key identifier after obtaining the key identifier, so that the AKMA key identifier is prevented from being abused.