A method of detecting abnormality may include the following steps. A normal-value range of a parameter for a target object is determined based on historical values of the parameter in a preset time period or at a preset time point. Whether the target object is abnormal is determined based on the normal-value range and the value of the parameter for the target object in the preset time period or at the preset time point within a current time cycle. Further, another normal-value range may be determined based on historical deviation values for the target object in historical time periods or at historical time points before the preset time period or the preset time point. Whether the target object is abnormal is determined based on either of the two normal-value ranges.

Systems, methods, and apparatuses for location-based automated authentication are disclosed. A system comprises a mobile device, a sensor and a backend platform. The sensor and the backend platform are in network communication. The mobile device is operable to continuously transmit Bluetooth Low Energy (BLE) signals comprising encrypted transitory identifiers. The sensor is operable to receive a BLE signal from the mobile device when the mobile device is within a predetermined range, and communicate over a network connection the encrypted transitory identifier comprised in the BLE signal to the backend platform. The backend platform is operable to extract a unique identifier and a changing encrypted identifier from the received encrypted transitory identifier, generate a changing encrypted identifier, and validate a user identification by comparing the generated changing encrypted identifier and the extracted changing encrypted identifier.

Techniques for time-based network authentication challenges are disclosed. In some embodiments, a system, process, and/or computer program product for time-based network authentication challenges includes monitoring a session at a firewall to identify a user associated with the session, generating a timestamp for an authentication factor associated with the user after the user successfully authenticates for access to a resource based on an authentication profile, intercepting another request from the user for access to the resource at the firewall, and determining whether the timestamp for the authentication factor is expired based on the authentication profile.

There is provided a method performed by a first entity of a network. Contextual information for the first entity and a timestamp for the contextual information is acquired (102). An authentication token is generated (104) using the acquired contextual information. Transmission of an authentication request message is initiated (106) towards a second entity of the network requesting authentication of the first entity with the second entity. The authentication request message comprises the generated authentication token and the timestamp for use in the authentication. An authentication response message indicative of whether authentication of the first entity with the second entity is successful or unsuccessful received (108).

A data processing system communicates with a secure third-party database to obtain information about a user that is usable to determine one or more items associated with the user. The system then coordinates gathering and identification of additional data relevant to the user from other third-party data sources, to potentially update the user's information stored with the secure third-party database. The updated information may then be accessed at the secure third-party database to determine items associated with the user, which may include additional items in view of the additional data

Embodiments are directed to generating and training a distributed machine learning model using data received from a plurality of third parties using a distributed ledger system, such as a blockchain. As each third party submits data suitable for model training, the data submissions are recorded onto the distributed ledger. By traversing the ledger, the learning platform identifies what data has been submitted and by which parties, and trains a model using the submitted data. Each party is also able to remove their data from the learning platform, which is also reflected in the distributed ledger. The distributed ledger thus maintains a record of which parties submitted data, and which parties removed their data from the learning platform, allowing for different third parties to contribute data for model training, while retaining control over their submitted data by being able to remove their data from the learning platform.

A blockchain-based data processing method and apparatus, a computer device, and a computer-readable storage medium. The method includes: obtaining a data authorization request transmitted by an authorization terminal, the data authorization request including a data authorization certificate associated with an authorizer; performing authorization verification on the authorizer according to the data authorization request to obtain a first verification result; signing the data authorization certificate according to a private key of a first blockchain in a case that the first verification result is a valid result to obtain a first certificate signature, determining the first certificate signature as a to-be-uploaded signature, and performing uploading on the data authorization certificate carrying the to-be-uploaded signature; and transmitting the data authorization certificate to a second blockchain, and providing a query permission to a query terminal in a case that signature verification on the to-be-uploaded signature by the second blockchain succeeds.

A method for securing the time synchronization of an Ethernet on-board network of a motor vehicle, by: determining a delay time of a first signal on a first connecting path between a first control unit of the network and a second control unit of the network; determining a maximum speed of the first connecting path on the basis of the delay time; and determining a type of a transmission medium of the first connecting path on the basis of the maximum speed. The determination of the delay time of a first signal, the determination of the maximum speed of the first connecting path, and the determination of the type of a transmission medium of the first connecting path result in an entropy source being formed that is used to ascertain at least one dynamic key for the connecting path to encrypt a time synchronization message for the connecting path.

An example operation may include one or more of identifying a blockchain transaction requiring commitment processing for commitment to a blockchain, determining the blockchain transaction is delayed, responsive to identifying the blockchain transaction is delayed, creating a transaction acceleration smart contract defining an incentive for performing the commitment processing of the blockchain transaction, and storing the transaction acceleration smart contract blockchain in a different blockchain.

Techniques for certifying a document and for securely transmitting access to the document across a blockchain network are disclosed. A document, which details results of a soft inquiry executed against a user's credit history, is accessed. A hash algorithm is applied to the document to certify it. The hash algorithm is based on a timestamp indicating when the document was created. Applying the hash algorithm also generates a portable identifier reflecting the document is certified at the time indicated by the timestamp. The portable identifier is added as a record to a blockchain. The record is transmitted to a second computer system using public and private keys.