Associative protection of numerical information in text documents using the Parallel Framework library on the .NET platform

The paper discusses the development and analysis of an application designed to protect numeric data in text files using an associative data protection mechanism. The application, based on the .NET platform and using the Parallel Framework library, was tested in detail to evaluate the effectiveness of multithreaded data processing and the use of regular expressions to extract numeric information from text. The results showed that the application of parallel processing can significantly increase performance, achieving twice the speedup on a multi-core hardware platform. At the same time, the paper highlights and analyzes some of the challenges and limitations associated with parallel processing, including user interface locking, the need for thread safety, and the peculiarities of working with regular expressions in multithreaded mode. Possible directions for further improvement of the application are discussed. The conducted research is of practical value for the development of parallel data processing methods in the context of information protection.