Abstract: One or more implementations of the present specification provide a data processing method and apparatus for a blockchain member node, where the blockchain member node includes a plurality of service servers, and at least one authentication module runs on each service server; and a public key of an authentication module of the at least one authentication module is authenticated by the blockchain.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating digital marks. One of the methods includes: obtaining entity information of an entity; transmitting the entity information to one or more nodes of a blockchain for storage in the blockchain; obtaining a transaction identification associated with storing the entity information in the blockchain; and generating a digital mark for the entity based at least on the transaction identification.

Abstract: Implementations of this specification provide blockchain-based recording and querying methods and apparatuses. An example method includes operations performed by an access gateway, including receiving, from a first service system, user data including a user identifier of a user; transmitting, to an identifier hash system, a first hash request for the user identifier; receiving, from the identifier hash system, a hash digest of the user identifier; replacing the user identifier in the user data with the hash digest of the user identifier, and packaging the user data into a storage transaction; transmitting, to a blockchain, the storage transaction; receiving, from the blockchain, a result of the storage transaction having been performed by a smart contract published by the first service system on the blockchain; and providing, to the first service system, the result of the storage transaction.

Abstract: A method for payment risk control includes: receiving a request for payment graphic code generation from a mobile terminal device, the request carrying preset risk control features, the risk control features including a payment account feature of an account, a current location feature, and a station entering and exiting feature; obtaining pre-stored historical risk control features of the account according to the payment account feature in the request; detecting whether there is a transaction risk for the mobile terminal device by comparing the obtained historical risk control features with the risk control features carried in the request; and sending a risk control detection result to the mobile terminal device to generate and display a payment graphic code.

Abstract: Implementations of the present specification disclose mobile payment methods, apparatuses, and devices. In one aspect, the method includes: monitoring, by a terminal device that is in lock screen mode, outputs of one or more sensors of the terminal device; determining that the outputs of the one or more sensors satisfy first specified criteria indicative of one or more particular body movements; in response to determining that the outputs of the one or more sensors satisfy the first specified criteria, displaying, on the terminal device, a payment processing interface; receiving an input through the payment processing interface; and executing a payment service based on the input.

Abstract: Embodiments of the present specification provide methods and apparatuses for generating two-dimensional codes. One method comprising: receiving, by a secure element chip comprised in a two-dimensional code display device, code information comprising an account identifier of an account associated with the two-dimensional code display device; in response to obtaining a digital certificate for a private key stored in the secure element chip, signing, by the security element chip, the code information by using the private key to generate signed code information; and providing, the signed code information to the two-dimensional code display device for the two-dimensional code display device to generate and display a two-dimensional code based on the code information, wherein the two-dimensional code comprises information associated with the account identifier and changes dynamically over time.

Abstract: One or more implementations shown in the present specification provide an offline payment method. A communication connection between a collection device and a payment device is established, wherein both the collection device and the payment device are in an offline state. Payment data sent by the collection device is received by the payment device through the communication connection established to the collection device. Payment processing based on the payment data and account information of the payment device is performed by the payment device, to obtain a payment result. The payment result is returned, by the payment device to the collection device through the communication connection. Collection processing is performed, by the collection device, based on the payment result and obtained account information of the payment device, to obtain a collection result.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing blockchain-based data authorization. One of the methods includes receiving, by a blockchain node, a data acquisition transaction submitted by a data user for obtaining target data possessed by a data owner, determining, by the blockchain node, that the data user has obtained authorization of the target data, and executing, by the blockchain node, a smart contract invoked by the data acquisition transaction to issue an authorization token to the data user in response to determining that the data user has authorization of the target data, where the authorization token is sent to a privacy computing platform.

Abstract: A method for allocating virtual articles comprises: receiving at least two acquisition requests directed at a virtual article packet, and respectively recording receiving times of the acquisition requests, wherein the virtual article packet comprises one or more virtual article sub-packets; allocating acquisition sequence numbers respectively to the acquisition requests according to a sequential order of the receiving times of the acquisition requests; and allocating the virtual article sub-packets according to the acquisition sequence numbers for the acquisition requests corresponding to the acquisition sequence numbers, and sending virtual articles in the virtual article sub-packets to users corresponding to the acquisition requests.

Abstract: Embodiments of the present disclosure provide a service-verification method and apparatus, wherein the method comprises: respectively receiving service parameters sent by a same user account on different terminals, respectively calculating corresponding service data according to the service parameters sent by each terminal; storing a plurality of corresponding relationships, each corresponding relationship comprising: service parameters sent by one terminal and corresponding calculated service data; when a service-processing request sent by any one of the different terminals is received and the service-processing request carries a target service parameter and target service data used in a current service, obtaining service data corresponding to the target service parameter according to the corresponding relationships; and acquiring a verification result according to a comparison between the obtained service data and the target service data.

Abstract: Implementations of this specification provide service identifier-based data indexing. An example method performed by a data indexing apparatus of a centralized database service provider that stores data by using a blockchain-type ledger includes obtaining a service identifier and a service label of a data record, the service identifier uniquely identifying a service attribute of the data record, and the service label representing a type of the data record; determining location information of the data record in the blockchain-type ledger, the location information including a block height of a data block that includes the data record, and a positional offset of the data record in the data block that includes the data record; establishing a mapping relationship among the service identifier, the service label, and the location information; and writing the mapping relationship into an index for which a primary key is the service identifier.

Abstract: Implementations of the present specification provide a model-based prediction method and apparatus. The method includes: a model running environment receives an input tensor of a machine learning model; the model running environment sends a table query request to an embedding running environment, the table query request including the input tensor, to request low-dimensional conversion of the input tensor; the model running environment receives a table query result returned by the embedding running environment, the table query result being obtained by the embedding running environment by performing embedding query and processing based on the input tensor; and the model running environment inputs the table query result into the machine learning model, and runs the machine learning model to complete model-based prediction.

Abstract: An embodiment provides a system and method for sample labeling. During operation, the system obtains a plurality of historical loss assessment images and obtains a plurality of candidate samples from the plurality of loss assessment images. A respective candidate sample comprises an image of a candidate damage area detected in a corresponding historical loss assessment image. The system clusters the plurality of candidate samples into a plurality of class clusters. For a respective class cluster, the system determines a center candidate sample set corresponding to a class cluster center of the respective class cluster, receives a manual labeling result associated with candidate samples in the determined center candidate sample set, and performs, according to the manual labeling result, damage classification labeling on other unlabeled candidate samples in the respective class cluster to obtain a plurality of labeled samples.

Abstract: The implementations provide a method and an apparatus for establishing a trusted cluster. The method is used to form a trusted computing cluster by using N trusted computing units, the method including: grouping the N trusted computing units into a plurality of groups; identifying a first trusted computing unit in each group, and causing first trusted computing units in the plurality of groups to each respectively perform inter-unit trust authentication with other trusted computing units in a same group in parallel; performing inter-group trust authentication between/among the plurality of groups in parallel to obtain the N trusted computing units on which trust authentication succeeds; and propagating secret information in the N trusted computing units on which trust authentication succeeds, so that the N trusted computing units obtain the same secret information to form the trusted computing cluster.

Abstract: Embodiments of the present application provide a method and an apparatus for displaying an identification code of an application. The method includes: acquiring an identification code in a target application in a system user interface (UI), where the identification code is generated by the target application according to user information in the target application; and displaying the identification code in an icon-display region of the target application in the system UI.

Abstract: Embodiments of the present specification disclose a resource sharing method, apparatus, and device, where the method includes: obtaining, by a first blockchain node, a resource from a second blockchain node; performing, by the first blockchain node, a sharing operation to share the resource with one or more user terminals; generating, by the first blockchain node, sharing information related to the sharing operation; and broadcasting, by the first blockchain node, the sharing information to a blockchain network associated with the first blockchain node and the second blockchain node.

Abstract: In an implementation, one or more user interactions from a virtual reality (VR) device user for initiating a service in a VR scenario of a VR application are detected. One or more eye physiological characteristics of the VR device user are obtained for user identity authentication. The obtained one or more eye physiological characteristics are compared with one or more pre-stored eye physiological characteristics samples. The VR device user is authenticated if the one or more eye physiological characteristics match at least a portion of the one or more pre-stored eye physiological characteristics samples, and a server that provides and performs the service is communicated with.

Abstract: A computer-implemented method, medium, and system are disclosed. In one computer-implemented method, an invocation request sent by an initiator is received by a blockchain node in a blockchain network. The invocation request is associated with invocation of a smart contract in the blockchain network. The smart contract includes contract code, data, and pre-update metadata. A pre-update data structure described by the pre-update metadata is parsed by the blockchain node and by execution of the contract code. The pre-update data structure is associated with the data comprised in the smart contract. Following parsing of the pre-update data structure, the pre-update data structure is represented by the blockchain node using a computer programming language. The pre-update data structure specified by the computer programming language is sent by the blockchain node to the initiator.

Abstract: Techniques for providing a service execution method and device are described. A request is received from a browser of a client device. A web page is determined from the received request. The web page is transmitted to the client device to wake up a designated application of the client device. A service execution request is received from the designated application of the client device. The received service execution request is determined to correspond to the received request. In response to determining that the received service execution request corresponds to the received request, a service is executed based on the received service execution request.

Abstract: A system is provided for identifying damages of a vehicle. During operation, the system can obtain a set of digital images associated with a set of tagged digital images as training data. Each tagged digital image in the set of tagged digital images may include at least one damage object. Based on the training data, the system can train a damage identification model by reducing noise associated with the damage object; generating a set of feature vectors for the training data; and using the set of feature vectors to optimize a set of parameters associated with the damage identification model to obtain a trained damage identification model. The system can then apply the trained damage identification model to obtain a damage category prediction result and determine a repair solution based on the damage category prediction result.