10results about How to "Prevent replay attacks" patented technology

This invention provides a remote smart lock control method based on a cloud platform, relating to the field of artificial intelligence technology. The method includes: the cloud platform sending a sound wave signal transmission command to the target smart lock, triggering the smart lock to send multi-band sound wave signals to preset auxiliary signal enhancement device deployment locations A and B; the cloud platform receiving sound wave feedback signals from locations A and B, calculating the final communication path based on signal propagation delay, frequency band interference intensity, and attenuation parameters, combined with real-time signal quality indicators reported by the remote communication module; and dynamically encrypting the command and sending it to the remote communication module through the final communication path. This invention dynamically calculates the optimal transmission path, breaking through the limitations of traditional single-channel transmission. Even in complex electromagnetic environments or obstacle-blocked scenarios, it can still ensure reliable transmission of control commands and reduce communication interruption rates.

The invention provides an automobile internal wireless communication semiconductor module and method based on a Bluetooth low-power-consumption technology. The method belongs to the technical field of intelligent network connection automobiles and vehicle-mounted communication. The method comprises the following steps: performing dynamic topology modeling on communication nodes in an automobile to generate multi-connection topology network data; the method comprises the following steps: deploying Bluetooth low-power 5.4 multi-link equipment according to multi-connection topology network data, and constructing a dynamic networking architecture; by means of the automobile internal wireless communication method based on the Bluetooth low-power-consumption technology, the stability and reliability of automobile internal communication are improved, the dynamic topology modeling and the self-adaptive frequency hopping technology enable a communication link to flexibly cope with dynamic scenes such as seat movement and automobile door opening and closing, and it is ensured that data transmission is not interrupted. The whole vehicle weight and the wiring cost are reduced, a large number of wire harnesses are replaced by wireless communication, the vehicle body burden is relieved, the wiring process is simplified, and the production cost is saved.

The invention relates to the technical field of vehicles, in particular to a message verification method, device and system based on a timestamp and a serial number and a medium, and the method comprises the steps: obtaining a to-be-verified message which comprises the timestamp, the serial number, business data and a dynamic signature; verifying whether the timestamp is in an effective window of the current system time or not to obtain a timestamp verification result; verifying whether the serial number meets a preset uniqueness condition or not to obtain a serial number verification result; re-calculating a signature by using a preset dynamic alternate session key, the timestamp, the serial number and the service data, and comparing a calculation result with the dynamic signature to obtain a signature comparison result; when the timestamp verification is passed, the serial number verification is passed and the signature comparison is consistent, determining that the message verification is passed; otherwise, determining that the message verification fails and triggering an exception handling mechanism; according to the invention, the security and reliability of message transmission can be improved.

The application discloses a PPG dynamic coupling identity authentication method and system based on behavior stimulation, constructs a coupling feature vector by randomly generating a behavior challenge instruction sequence, synchronously collecting PPG signals and behavior signals, extracting response delay, response amplitude change, instantaneous phase, recovery time and a correlation coefficient, adopts confusion factor perception weighted comparative learning to train a feature encoder to obtain identity feature representation, and constructs a user feature distribution model through a conditional diffusion model and adopts diffusion time proxy scoring to make an authentication decision. The application realizes high-differentiation identity recognition through dynamic behavior stimulation and PPG response coupling modeling, effectively prevents replay attacks, simultaneously enhances feature robustness through manifold constraint diffusion and confusion factor perception comparative learning, and realizes real-time authentication decision through diffusion time proxy scoring.

The invention relates to the field of electric digital data processing, and discloses an anti-fault-injection AI chip model encryption loading and execution method, which comprises the following steps of: latching a micro-architecture state vector in real time at a pipeline execution level of a calculation unit, initializing a hardware rolling hash accumulator, and performing loading and execution on the hardware rolling hash accumulator; forcing the numerical value and a state vector expected value of a previous data processing stage to participate in one-way hash operation together to generate a dynamic mask, and encrypting transmission data; according to the method, an internal immune mechanism based on micro-architecture state entanglement is constructed, the correctness of an instruction time sequence is converted into a mathematical necessary condition for data decryption, and the correctness of the instruction time sequence is converted into the mathematical necessary condition for data decryption. High-entropy noise self-destruction of a data level is directly caused by execution stream abnormity caused by any fault injection, the security vulnerability of orthogonality of a control stream and a data stream is avoided, and mathematical blocking of physical attacks is realized.

This application discloses a cloud application login method, apparatus, device, and computer storage medium. The method includes: responding to a first request from a cloud client to obtain a token; determining a cloud application key based on the cloud application identity identifier in the first request; encrypting cloud phone information and user identity information using the cloud application key, a symmetric encryption algorithm library version, a symmetric encryption algorithm selector, an asymmetric key, a random number, and a token expiration time to obtain an encryption result; generating a token based on the encryption result; and sending the token to the cloud phone client, causing the cloud phone client to send the token to the cloud application server, thereby enabling the cloud application server to decrypt the token to obtain the user identity information and send the user identity information to the cloud application client, allowing the cloud application client to log in to the cloud application based on the user identity information. This application enables secure and convenient login to cloud applications.

This application discloses a blockchain-based multi-level encryption and access control system for medical data, including a medical data acquisition module, a medical data encryption module, a blockchain network module, an access control module, and a user processing module. It also discloses a blockchain-based multi-level encryption and access control method for medical data, including: acquiring medical data; applying a multi-level encryption strategy to process the data to obtain encrypted medical data, an encrypted symmetric key, and an initial hash value; generating a new block; uploading the encrypted medical data, symmetric key, and initial hash value to the new block; re-hashing the encrypted medical data and symmetric key; comparing the hash value with the initial hash value to verify that the data has not been tampered with; after verification, using a smart contract for access control; decrypting the symmetric key to decrypt the encrypted medical data; and accessing and managing the medical data through a user interface. This application can increase the difficulty of data decryption in the system, ensuring data integrity and security.

The application discloses a kind of multi-interface adaptive switching control method and system suitable for vehicle charging, after vehicle gun is inserted, the electrical characteristic vector of all physical interfaces is synchronously collected and input one-dimensional convolution neural network, the activation probability of each interface is calculated, if the maximum probability exceeds threshold value, corresponding protocol stack is preloaded and polling is skipped;If confidence is insufficient, a multi-armed bandit model based on Thompson sampling is used to dynamically select the optimal protocol for handshaking;After successful handshaking, the vehicle digital identity is extracted through VIN hash value or physical layer timing fingerprint, the cross-interface shared cache is queried, if hit, the historical charging strategy is directly inherited, otherwise, complete negotiation is performed and a file is created, and the current is output according to the established or negotiated strategy during charging.The application overcomes the inherent defects of existing multi-interface charging pile protocol selection, such as low efficiency and inability to share cross-interface information, and has made significant progress in charging start speed, adaptive ability, user experience and the like.

The invention discloses a lightweight two-way authentication method and system for an intelligent water affair Internet of Things terminal, and relates to the field of two-way authentication, and the method comprises the steps: presetting a terminal static identifier and a main / auxiliary hash chain initial value; the terminal generates a new main Hash value and a new auxiliary Hash value through Hash calculation based on a previous state of a local Hash chain, generates an identity label by using a Hash function in combination with a self-generated random number, and sends the identity label, a static label and the random number to the server; the server obtains the previous state of the corresponding Hash chain through the static identifier, and reconstructs the identity identifier through the same process for verification; after passing, updating a local hash chain state, generating a server random number, generating an authentication message in combination with the new main hash value and the two random numbers, and sending the authentication message; the terminal verifies the server to authenticate the message, and updates the own hash chain state after passing the authentication; the two parties generate a session key through a key derivation function based on the new main hash value and the two random numbers. The invention provides a safer session key generation mode.

An embedded universal integrated circuit card (eUICC) (102) for an Internet of Things (IoT) device is associated with at least one remote manager module (112) using a corresponding association token (AT), the eUICC (102) for the IoT device including an association token counter (120) having a counter value, the method comprising, at the eUICC (102) for the IoT device: receiving an association request from a first remote manager module (112) instructing the eUICC (102) for the IoT device to associate with the first remote manager module (112) using a first association token (AT) included in the association request; and updating the counter value with the value of the first association token (AT) included in the received association request in response to the eUICC (102) for the IoT device receiving the association request and the first association token (AT) being higher than the counter value.