22results about How to "Prevent forgery" patented technology

The present application relates to the technical field of in-vehicle network communication, and discloses a lightweight and secure communication method and system between ECUs in an in-vehicle network. The communication method comprises an ECU identity authentication phase: each ECU interacts with a CAN gateway, and the CAN gateway performs batch identity authentication to verify the legality of all ECUs; a data classification phase: according to the data sensitivity, the data to be transmitted is classified as confidential data or non-confidential data; a data transmission phase: if the data to be transmitted is confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to encrypt and authenticate the plaintext of the confidential data, generates ciphertext and authentication parameters, and sends a data packet containing the ciphertext and authentication parameters to the receiver ECU; if it is non-confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to only sign but not encrypt the plaintext, generates an authentication tag, and sends a data packet containing the plaintext and the authentication tag to the receiver ECU. The present application takes into account the security and computational overhead of in-vehicle ECU communication.

This invention discloses a hardware verification circuit for quantum telemetry and control link calibration and measurement results, belonging to the field of high-precision hardware technology for quantum telemetry and control. The circuit includes a link characteristic measurement unit, a parameter compensation storage unit, a hardware compensation controller, a hardware redundancy verification unit, and a calibration parameter storage unit with a one-time programmable fuse. All calibration rules and verification parameters are permanently fixed using the one-time programmable fuse and cannot be modified by software. This invention achieves full-dimensional calibration of the quantum telemetry and control link and hardware-level anti-tampering verification of measurement results through a pure hardware circuit, solving the problems of existing technologies where link calibration relies on software, accuracy is insufficient, and measurement results lack hardware-level protection. It can improve the synchronization accuracy and reliability of quantum telemetry and control results, and is suitable for various high-precision quantum telemetry and control scenarios.

The application discloses a kind of AI application calling count statistics method, in AI application calling process, when different AI entities interact, log is recorded respectively, including token information based on asymmetric encryption technology;Different AI entities generate corresponding bill according to log, reconcile when billing dispute occurs, and the correct AI application calling times are counted, so as to correct billing;The AI entity includes AI application consumer, AI platform service provider, AI technology supplier.The application realizes the statistics of AI application calling count based on token and asymmetric encryption technology, records AI application calling bill by three parties, when billing dispute occurs, the correct AI application calling times statistics are obtained by comparing the bill of three parties, prevent the statistical error of AI application calling count, realize the accurate statistics of billing according to AI application calling.

The application relates to an MQTT protocol sensing access verification method, which comprises the following steps: receiving a connection request initiated by a client, and analyzing a CONNECT message in the connection request to obtain a plurality of parameter fields, wherein the parameter fields comprise protocol version information, a client identifier, a username, a keep-alive time and an MQTT5.0 attribute field; based on a preset policy set organized according to tenants, performing rule matching and parameter consistency verification on the parameter fields; when any verification result does not satisfy a condition preset by a corresponding policy, generating a corresponding rejection reason code and a hit policy identifier, and rejecting the connection request before an MQTT session is formally established; and when all verification results satisfy the policy requirements, allowing the MQTT session to be established. Through the application, the problem of insufficient access security of the MQTT protocol is solved, protocol semantic level verification is performed before the MQTT session is established, invalid connections are blocked, and application layer attacks are prevented.

The scheme provides a federated learning secure aggregation method and device based on linear audit and on-chain accountability, which comprises: a client trains a to-be-updated model to obtain a model update vector, and generates a masked ciphertext based on the model update vector; a linear audit label is obtained, and the linear audit label is split into a first linear share and a second linear share; an aggregation server aggregates the masked update vector and the first linear share, and an auxiliary server aggregates the masked ciphertext and the second linear share; and the client updates the to-be-updated model based on the aggregation results of the aggregation server and the auxiliary server. The scheme adopts a dual-server separation architecture to aggregate the masked update vector and the masked ciphertext respectively, and a single server cannot obtain the plaintext model update of the client, thereby eliminating the malicious stealing of single-client private data by the server from the architecture.

The invention provides an infrared absorption substance, a preparation method thereof and ink. The preparation method of the infrared absorption substance comprises the following steps: preparing a first solution, a second solution and a third solution, mixing the first solution, the second solution and the third solution to obtain a mixed solution, and standing the mixed solution according to a preset standing duration; the first solution contains copper phosphate, the second solution contains sodium tungstate dihydrate, and the third solution contains cesium carbonate and citric acid; synthesizing the mixed solution by using a hydrothermal synthesis method to obtain a solid-liquid mixture; and carrying out water washing, alcohol washing, centrifugal separation and drying on the solid-liquid mixture to generate an infrared absorption substance, so that the infrared absorption substance has an infrared absorption rate of 85% or above at the infrared band of 850-1250 nm.

The invention relates to the technical field of Internet of Things equipment cross-chain cooperation safety control, in particular to an Internet of Things equipment cross-chain cooperation method and system based on dynamic trust evaluation. The method comprises the following steps: an Internet of Things device submits a cross-chain cooperation request containing Internet of Things device identity information and a cooperation demand to a cross-chain gateway; and the cross-chain gateway calls a dynamic trust evaluation model obtained based on federal learning training, and calculates a trust score in combination with historical behavior data and real-time operation state data of the Internet of Things equipment. According to the Internet of Things equipment cross-chain cooperation method and system based on the dynamic trust evaluation, distributed calculation and real-time updating of trust scores are realized through the dynamic trust evaluation model trained by federated learning and in combination with the historical behavior data and the real-time operation state data of the equipment, that is, the federated learning does not need to upload original data, so that the reliability of the system is improved. The privacy of the equipment data is reserved, and the dynamic change of the equipment behavior can be accurately captured.

The invention discloses an unmanned seal using system, an unmanned seal using method based on the unmanned seal using system, and the field of information security and Internet of Things cross technology, and the method comprises the steps: a management platform carries out the verification of a seal using application, obtains a quantum session key from a key generation center if the verification is passed, generates first encrypted data, and carries out the verification of the seal using application; sending the first encrypted data and the quantum session key identifier to an access control; the entrance guard verifies the identity of the user, verifies the first encrypted data if the verification is passed, generates second encrypted data if the verification is passed, and sends the second encrypted data and the quantum session key identifier to the seal container; the seal container verifies the second encrypted data, if the verification is passed, third encrypted data is generated, and the third encrypted data and the quantum session key identifier are sent to the seal device; and the seal equipment verifies the third encrypted data, and if the verification is passed, seal using operation is executed. According to the method, the intelligence and the safety in the unmanned seal using process are improved.

The application belongs to the technical field of trusted authentication, and discloses a remote user trusted authentication system, method and medium in an Internet of Things environment. The system comprises a registration center (RC), which is a trusted server and is used for safely registering or initializing other entities; an intelligent device, which is arranged in an environment and is used for collecting and transmitting data; a gateway, which supports interconnection between different protocol networks and has computing and storage capabilities; a user, who accesses remote intelligent devices through a login device; and the login device, which is used for user trustworthiness verification. The login device includes but is not limited to a mobile device, an intelligent card and a PC. Through the system and method, the trusted authentication of remote users can be realized, and safe communication between the user and the intelligent device is established. Meanwhile, the application can also solve the problems of public key cryptography complexity, user authentication vulnerability and symmetric cryptography limitations.

This application provides a chip, a physically unclonable function generator, and a chip authentication method. The chip includes a first magnetically conductive sheet, a bare die, and a second magnetically conductive sheet. The bare die is disposed on the second magnetically conductive sheet, and the first magnetically conductive sheet is disposed on the bare die. The size of the first magnetically conductive sheet is larger than the size of the memory array in the bare die. The memory array includes a data array and a physically unclonable function array, with the data array located around the periphery of the physically unclonable function array. When the chip is placed in an external magnetic field, and the external magnetic field causes the second magnetically conductive sheet to reach magnetic saturation, the resistance state of some memory cells in the physically unclonable function array flips. This broadens the operating range of the physically unclonable function array, enabling it to operate in stronger external magnetic fields.

The invention provides an end-to-end encryption tunnel method and system under a zero-trust security architecture, and relates to the technical field of network security, and the method comprises the steps: carrying out the unified management of identity credentials and access strategies of communication entities through a control plane, and verifying the identity when a first communication entity requests to access a second communication entity; after verification is passed, an authorization token is generated and sent to the first tunnel agent, and the first tunnel agent carries the token to initiate a connection request to the second tunnel agent; the second tunnel agent verifies the validity of the token by using the public key, and after the verification is passed, the two parties negotiate an encryption algorithm suite and execute key exchange to generate a session key; establishing an end-to-end encryption tunnel based on the session key to realize direct encrypted data transmission between two communication entities; and automatically destroying the session key and terminating the tunnel connection through effective duration control of the authorization token and a tunnel idle timeout mechanism. The method has the technical effect that the risk that sensitive resources are visited beyond authority or abused is reduced.

The application discloses a target application-based object identity authentication method and device and a storage medium, and can be applied to the field of maps. A near field communication module is used for certificate detection; then, certificate encrypted information detected by the near field communication module is sent to a belief decoding system to obtain identity information; identity information sent by a certificate query service system is received; and then, the identity information is compared with registered information corresponding to a target object in a service background corresponding to a target application, so that an identity authentication result is determined. Thus, a target application-based object identity authentication process is realized. Since the near field communication is used for belief certificate detection, and the identity information is verified through multiple systems, the generation of false identity information can be effectively avoided, and the accuracy of identity authentication is improved.

The invention discloses a memory damage detection method and device, electronic equipment and a readable storage medium, and belongs to the technical field of memories. The method comprises the steps that under the condition that access operation for any target memory object is obtained, multiple real-time feature values of the target memory object are collected and based on the target memory object, and a real-time verification code to be verified is generated; obtaining a reference verification code of the target memory object from the target space; the reference verification code is generated based on a plurality of characteristic values of the collected target memory object at a historical moment; verifying the verification code to be verified based on the reference verification code, and continuing to execute the access operation under the condition that the verification code to be verified passes the verification; or, under the condition that the verification code to be verified does not pass verification, it is determined that the memory is damaged. The damage of the memory can be found in time, the process is realized through pure software, special hardware is not needed, only a small amount of extra memory is occupied, the performance overhead is small, and the real-time performance is high.

The invention discloses an AI image monitoring and evidence obtaining platform and electronic equipment, the AI image monitoring and evidence obtaining platform carries a plurality of AI large models, and after being started, the AI image monitoring and evidence obtaining platform executes the following processing: inputting image information of a preceding right to an image feature extraction large model to generate an image feature set, correcting and supplementing the image display information to obtain an expanded image feature set by combining the image feature expansion large model with the image display information, the sales verbal skill and the transaction feature information of the known infringement commodity; based on the extended image feature set, searching and recalling potential infringement commodity information on the e-commerce platform, and inputting the image information of the prior right and the potential infringement commodity information into an infringement comparison large model for comparison to obtain an infringement analysis result; if infringement is judged, evidence obtaining is carried out, and an evidence obtaining result is sent to a timestamp authentication service system to add a timestamp. According to the invention, the online store infringement evidence obtaining efficiency and accuracy can be improved.

The utility model relates to the technical field of intelligent card, and disclose a kind of paper-based substrate's environmental protection type intelligent card, including intelligent card body, the intelligent card body includes paper base layer, the top of paper base layer is provided with first waterproof layer, first waterproof layer is coated and is arranged on the upper surface of paper base layer, the top of paper base layer is provided with insulating layer, insulating layer is coated and is arranged on the upper surface of first waterproof layer, the top of paper base layer is provided with first wear layer, first wear layer is coated and is arranged on the upper surface of insulating layer.The paper-based substrate's environmental protection type intelligent card, using environmental protection degradable regenerated paper as base layer, reduce pollution to environment from source;The setting of waterproof layer, wear layer significantly improves the waterproof, moisture-proof, wear resistance of intelligent card, avoid card damage due to environmental factors, prolong service life;The use of environmental protection glue ensures that material composite process is green and pollution-free, meet sustainable development concept.

The invention relates to the technical field of data security, and discloses a data crushing method based on a four-dimensional manifold chaotic power system, and the method comprises the steps: generating a time-space coupled chaotic entropy source through system initialization, dynamically distributing entropy decomposition channels for input data according to type characteristics, and achieving the irreversible crushing and entropy control of the data; and then fragment-level distributed verification is cooperatively completed by means of edge nodes, an on-chain certificate with auditing performance is generated, real-time closed-loop updating is performed on chaotic parameters in combination with a verification result, and a self-adaptive feedback control mechanism is formed. According to the method, a Merkle-Patricia tree structure is improved to realize non-tampering and chained backtracking of data, a security signature based on a lattice structure is adopted to ensure the long-term effectiveness of verification information, and the stability of an entropy source is optimized through a chaotic disturbance feedback mechanism, so that the security, reliability and adaptability of a system under the threat of a high-complexity calculation model are comprehensively improved.

The invention discloses a smart contract signing method and device based on edge computing and a medium. The method is applied to privacy computing and a block chain, and comprises the following steps: acquiring a signing request of a target user, extracting signing information of the target user based on the signing request, and transmitting the signing information to an edge computing environment; in the edge computing environment, calling target user protocol data of the block chain based on the subscription information, and performing intelligent contract signing according to the target user protocol data to generate a contract signing result; and determining a permission user set corresponding to the contract signing result, and encrypting the contract signing result by using a broadcast encryption algorithm based on the permission user set to generate an encrypted contract signing result. Through processing in the edge computing environment, the data transmission distance can be shortened, the delay is reduced, and the processing efficiency is improved. Manual intervention is not needed, and a self-service signing process is realized. And the authority of the signing result is bound with the user set through a broadcast encryption algorithm, and only the authorized user can decrypt the result, so that the privacy of the user is ensured.

This invention provides a photovoltaic support bracket full lifecycle traceability device, system, and method based on passive sensing and digital twins. The traceability device includes a housing and a main control MCU module encapsulated within the housing, as well as a power management module, an EEPROM storage module, a sensor monitoring module, and an NFC communication module. The output of the power management module is connected to other modules to supply power. The main control MCU module is connected to the EEPROM storage module, the sensor monitoring module, and the NFC communication module respectively, controlling data acquisition, transmission, and storage, and is responsible for data scheduling. The EEPROM storage module stores UID, production batch, tamper-proof status bit, and historical environmental monitoring data. The sensor monitoring module monitors the ambient temperature, humidity, and stress state of the support bracket. The NFC communication module enables passive / semi-active near-field communication with a handheld terminal APP. This invention achieves "one item, one code" full-chain management from raw materials to end-of-life recycling, and realizes visualized management of project progress.

The invention relates to the technical field of intelligent equipment of the Internet of Things, and discloses a method and a system for throwing an express item at a cabinet end in an offline state, and in an offline express item throwing mode, a user selects an idle cell through a display touch screen at the cabinet end and inputs waybill information; the cabinet terminal combines the waybill information, the cabinet terminal information, the grid information and the current timestamp to form a parameter information set and encrypts the parameter information set to generate an information code; the user client scans the information code and then uploads the parameter information set and a self authorization certificate to the platform server; the platform server verifies the order information, generates order information and encrypts the order information to generate a return information set, and the user client generates an information code according to the return information set; and after a camera at the cabinet end scans and verifies successfully, storing order information and opening a corresponding grid, and enabling a user to throw an express item. According to the invention, the problem that the existing cabinet end cannot complete the delivery operation in a weak network or offline state is solved, and the service continuity is ensured.

The invention relates to the technical field of virtualization frameworks, in particular to a biological recognition security enhancement method and electronic equipment. The upper-layer application sends a biological recognition request to the secure virtual machine; the security virtual machine displays a biological information acquisition interface after receiving the biological recognition request, and sends a biological information acquisition request to the rich execution environment; the rich execution environment receives the biological information obtaining request, obtains biological information and sends the biological information to the trusted execution environment; the trusted execution environment verifies the biological information, obtains and stores a verification result, and sends the verification result to the secure virtual machine through the rich execution environment; and the security virtual machine sends the verification result to the upper-layer application. And the risk that the existing offline biological recognition result is possibly hijacked and attacked in the non-secure environment transmission process is solved, so that the biological recognition security is further improved.

The application discloses a double-teacher recommendation system based on big data analysis, constructs a structured evidence pool through OCR analysis, digital signature verification and hash check, adopts a 2-of-3 gate valve mechanism to ensure the authenticity of data, carries out forced screening according to the education background and working years, calculates a bottleneck value through teaching experience, the number of training projects and the feedback score of students, divides the ability level, carries out double-key hard door screening based on the degree of professional matching and the practical years, removes dominated solutions in combination with a Pareto skyline, and determines a recommendation list through dictionary sequence sorting, adopts an analytic hierarchy process to construct a judgment matrix, calculates the weight and the comprehensive score, and supports two output strategies of default and weighting. The system effectively improves the accuracy, interpretability and reliability of teacher qualification authenticity verification and person-post matching, and is suitable for vocational education and enterprise training scenes.