Disclosed are a method and a system for cross-chain data access of blockchain. According to the technical solution, an adapter is added between a service blockchain and a witness blockchain, a cross-chain initiation event and a cross-chain response event on a local service blockchain are registered to the witness blockchain by using the adapter, so as to provide query and push services of cross-chain events to other nodes on the local service blockchain, and trigger related operations on the local service blockchain according to the cross-chain events of the witness blockchain.

A data processing method and apparatus based on a blockchain network, and a computer device. The method includes acquiring a transaction request, the transaction request carrying transaction data and reference signature data corresponding to the transaction data; validating the transaction data and the reference signature data; determining a matching node device from a target node device if the transaction data and the reference signature data are validated, and acquiring a signing key of the matching node device; determining data to be signed according to the transaction data, and signing on the data to be signed using the signing key of the matching node device to obtain endorsement signature data; and transmitting the endorsement signature data to the management device, wherein the management device generates a transaction block according to the endorsement signature data and the transaction data.

A method, an apparatus, a computer device, a storage medium, and a program product for processing data are provided, which belong to the technical field of artificial intelligence. The method includes: acquiring model training information transmitted by each of at least two edge node devices, the model training information being transmitted in a form of plaintext, and being obtained by the edge node device by training sub-models through differential privacy; acquiring, based on the model training information transmitted by each of the at least two edge node devices, the sub-models trained by each of the at least two edge node devices; and performing, based on a target model ensemble policy, model ensemble on the sub-models trained by the at least two edge node devices, to obtain a global model. This solution expands the manner of model ensemble while ensuring the data security, thereby improving the model ensemble effect.

An electronic watermark embedding apparatus according to an embodiment is an electronic watermark embedding apparatus capable of embedding an electronic watermark into a decoding circuit of secret-key encryption, and includes an embedding unit configured to generate the decoding circuit. The decoding circuit is embedded with the electronic watermark by being input with a common parameter generated in a setup of the secret-key encryption, a secret key of the secret-key encryption, and the electronic watermark, and is capable of decoding an encrypted text encrypted using the secret-key encryption.

The present invention relates to a computer-implemented method for obscuring sensitive data. The method comprises: acquiring, by a processor, image data; extracting, by the processor, structured data from the image data, the structured data being sensitive data and having a defined functional format and a defined visual format; generating, by the processor, artificial data that is different from the structured data, the artificial data having the same functional format as the structured data; generating, by the processor, artificial image data based on the image data in which the structured data is replaced with the artificial data, the artificial data being based on the visual format of the structured data; and outputting, by the processor, the artificial image data.

A method of transmitting data in a storage device includes encrypting original data based on a homomorphic encryption algorithm to generate encrypted data, generating a parameter for regeneration of a ciphertext higher than an operation level of the encrypted data by using the encrypted data and a key value, and transmitting the encrypted data and the parameter to an external host device.

Accessing third-party service provider data on behalf of a first-party service provider without having to provide credentials to a first-party service provider server(s) is described. A credential may be received via a user interface presented by a mobile payment application associated with a service provider, the credential being associated with a user account of a user and a third-party service provider. The mobile payment application may then send the credential to a computing device(s) of the third-party service provider, which causes a session to be established between the mobile payment application and the third-party device(s). The mobile payment application may receive, via the session, user data associated with the user account from the third-party device(s), and may send, without having provided the credential to a computing device(s) of the service provider, at least a portion of the user data to the computing device(s) of the service provider.

A trusted execution environment obtains a secure guest image and metadata to be used to start a secure guest. The metadata includes multiple parts and a plurality of integrity measures. A first part of the metadata includes one or more integrity measures of the plurality of integrity measures, and a second part of the metadata includes customized confidential data of the secure guest and one or more other integrity measures of the plurality of integrity measures. The trusted execution environment is used to verify at least one select part of the metadata using at least one integrity measure of the plurality of integrity measures of the metadata. Based on successful verification of the at least one select part of the metadata, the trusted execution environment starts the secure guest using the secure guest image and at least a portion of the metadata.

A method of securely dispersing private user data may include operating a software application configured to utilize user data, receiving the user data, generating a sequence of random bits, and generating a plurality of secret shares from the user data. Generating the plurality of secret shares may include selecting a subset of the user data for each secret share and combining the subset of the user data with the sequence of random bits. The subset of the user data may be a first half of the user data for a first secret share, a second half of the user data for a second secret share, and the whole user data for a third secret share. The method may also include dispersing each of the secret shares.

Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a request to execute a task for re-encrypting a set of data associated with an application that has been encrypted with a first encryption key. The task is for re-encrypting the set of data using a second encryption key. The program further determines an amount of work to complete the task. The program also divides the task into a set of subtasks based on the amount of work. The program further assigns each subtask in the set of subtasks to a node in a plurality of nodes for execution of the subtask. The plurality of nodes are configured to implement the application.