Associative Protection of Numerical Information in Text Documents Using the Parallel Framework Library on the .NET Platform
- Autores: Gibadullin R.F.1, Vershinin I.S.1
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Afiliações:
- Kazan National Research Technical University named after A.N. Tupolev – KAI
- Edição: Volume 10, Nº 3 (2023)
- Páginas: 121-129
- Seção: METHODS AND SYSTEMS OF INFORMATION PROTECTION, INFORMATION SECURITY
- URL: https://journals.eco-vector.com/2313-223X/article/view/623748
- DOI: https://doi.org/10.33693/2313-223X-2023-10-3-121-129
- EDN: https://elibrary.ru/STEVDR
- ID: 623748
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Resumo
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.
Texto integral
Sobre autores
Ruslan Gibadullin
Kazan National Research Technical University named after A.N. Tupolev – KAI
Autor responsável pela correspondência
Email: rfgibadullin@kai.ru
Scopus Author ID: 55978150900
Candidate of Engineering; Associate Professor at the Department of Computer Systems
Rússia, Kazan, Republic of TatarstanIgor Vershinin
Kazan National Research Technical University named after A.N. Tupolev – KAI
Email: isvershinin@kai.ru
Scopus Author ID: 55977774300
Candidate of Engineering, Associate Professor; Head of the Department of Computer Systems
Rússia, Kazan, Republic of TatarstanBibliografia
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