Abstract: A tamper-proof data protection method and system. The tamper-proof data protection method runs in a computer system kernel and includes the steps described below. In step 1, an access instruction for data is acquired, and the access instruction includes an access object path and access process information. In step 2, it is determined whether the access object path exists in a maintained protection path whitelist or in a subpath of a path in the protection path whitelist. If so, step 3 is executed; otherwise, a call permission signal is generated. In step 3, according to the access process information, it is determined whether the current access process exists in a maintained process whitelist. If so, a call permission signal is generated; and otherwise, an access denied signal is generated.

Abstract: The present application relates to a backup and recovery system and method for an Oracle database. The system includes a server side, an agent client side, and an Oracle production environment; the agent client side is connected to the server side, and is installed in the Oracle production environment. The Oracle production environment is internally provided with a database and a recovery management (RMAN) tool that are connected in sequence; a storage unit is connected to the server side; the server side is configured to control a working state of the storage unit, send a backup task instruction or a recovery task instruction to the agent client side and receive an execution result returned by the agent client side; the agent client side executes corresponding processing on the Oracle production environment according to the instruction sent by the server side.

Abstract: Provided are a keyword extraction method applicable to a Word text, an electronic device, and a computer-readable storage medium. The method includes: acquiring a text and extracting a body of the text; extracting a set number of keywords in the body by a TFIDF algorithm and a set number of keywords in the body by a TextRank algorithm, respectively; acquiring a text name and a text title of the text and segmenting the text name and the text title into words of the text name and words of the text title; constructing text feature vectors of the text and inputting the text feature vectors into a trained keyword extraction model; and extracting a keyword set from the keywords extracted by the TextRank algorithm by using the keyword extraction model to achieve text keyword extraction.

Abstract: Provided are a text duplicate checking method, an electronic device and a computer-readable storage medium. The method includes storing a fingerprint set and a corresponding text ID in a byte data manner to obtain a fingerprint library; acquiring a target text and creating a target fingerprint; obtaining a comparison fingerprint set from map memories according to the target fingerprint, and calculating a similarity between the target fingerprint and each comparison fingerprint in the comparison fingerprint set separately; and based on a determination result that a number of 1s in binary values of one similarity is less than or equal to a preset value, querying a text ID corresponding to the one similarity, to implement duplicate checking of the target text.

Abstract: Provided are a continuous data protection system and method for a modern application. The system includes a modern application module, a disaster recovery service module, and a data protection module. The modern application module includes a production service unit, a production service database, a production object storage gateway, a production object storage, and a production object database. The disaster recovery service module includes a disaster recovery service unit, a disaster recovery service database, a disaster recovery object storage gateway, disaster recovery object storage, and a disaster recovery object database corresponding to the production service unit, the production service database, the production object storage gateway, the production object storage, and the production object database respectively.

Abstract: A copy data management system for a modern application includes a modern application module and a copy data management module. The modern application module includes a service unit, an object storage gateway, a production object storage, and a database. The service unit is configured to generate a large object, a small object, and service metadata. The object storage gateway is configured to write and read the large object and the small object in the production object storage, merge small objects into a large object, and generate object metadata. The database is configured to store the service metadata and the object metadata. The copy data management module includes a metadata processing unit and a disaster recovery object storage. The metadata processing unit is configured to back up the database. The object storage gateway is also configured to back up the production object storage to the disaster recovery object storage.