dtЦифровая трансформацияDigital Transformation2522-96132524-2822Educational Establishment “Belarusian State University of Informatics and Radioelectronics”10.35596/1729-7648-2024-30-3-61-68dt-871Research ArticleТЕХНИЧЕСКИЕ НАУКИTECHNICAL SCIENCESИспользование блокчейна Ethereum в сети интернета вещей для IТ-диагностикиUsing the Ethereum Blockchain in the Internet of Things Network for IT DiagnosticsВишняковВ. А.VishniakouU. A.

Вишняков Владимир Анатольевич, д-р техн. наук, проф. каф. инфокоммуникационных технологий

Тел.: +375 44 486-71-82

220013, г. Минск, ул. П. Бровки, 6

Uladzimir A. Vishniakou, Dr. of Sci. (Tech.), Professor at the Department of Infocommunication Technologies

Tel.: +375 44 486-71-82

220013, Minsk, P. Brovki St., 6 

vish@bsuir.byСяИвэйXiaYiWei

Aсп. каф. инфокоммуникационных технологий

Минск

Postgraduate at the Department of Infocommunication Technologies

Minsk

ЮйЧуюэYuChuyue

Aсп. каф. инфокоммуникационных технологий

Минск

Postgraduate at the Department of Infocommunication Technologies

Minsk

Белорусский государственный университет информатики и радиоэлектроникиBelarusian State University of Informatics and Radioelectronics2024290920243036168Copyright © Вишняков В.А., Ся И., Юй Ч., 20242024Вишняков В.А., Ся И., Юй Ч.Vishniakou U.A., Xia Y., Yu C.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://dt.bsuir.by/jour/article/view/871

В статье рассмотрено использование технологии блокчейн Ethereum в сети интернета вещей (IoT) для IТ-диагностики пациентов, что повышает безопасность данных и конфиденциальность пользователей. Такая интеграция оказывается эффективной для хранения и управления конфиденциальными данными пациентов с неврологическими болезнями. Разработана архитектура интегрированной системы, которая объединяет сеть IoT, файловую структуру IPFS (InterPlanetary File System) с блокчейном Ethereum для создания надежной модели хранения данных. Эта система обеспечивает эффективную, безопасную и прозрачную обработку данных, оптимизируя процессы их регистрации, авторизации и проверки. Использование IPFS для децентрализованного хранения файлов, наряду с блокчейном Ethereum, с целью создания защищенных от несанкционированного доступа медицинских записей обеспечивает повышение эффективности, масштабируемости и конфиденциальности. При проведении экспериментов реализован процесс создания и тестирования системы, включая настройку среды, подключение узла IPFS, программирование смарт-контрактов Ethereum, выборку голосовых данных и хранение их хэшей.

The article discusses the use of Ethereum blockchain technology in the Internet of Things (IoT) network for IT diagnostics of patients, which increases data security and user privacy. This integration is proving effective for storing and managing sensitive data of patients with neurological diseases. An integrated system architecture has been developed that combines the IoT network, the IPFS (InterPlanetary File System) file structure with the Ethereum blockchain to create a reliable data storage model. This system ensures efficient, secure and transparent data processing, optimizing the processes of data registration, authorization and verification. Using IPFS for decentralized file storage, along with the Ethereum blockchain to create tamper-proof medical records, provides increased efficiency, scalability and privacy. During the experiments, the process of creating and testing the system was implemented, including setting up the environment, connecting an IPFS node, programming Ethereum smart contracts, sampling voice data and storing their hashes.

интернет вещейблокчейн Ethereumфайловая системаголосовые данныеконфиденциальностьInternet of thingsEthereum blockchainfile systemvoice dataprivacyReferencesSarker I. H., Khan A. I., Abushark Y. B. (2023) Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions. Mobile Networks and Applications. 28 (1), 296–312.Sarker I. H., Khan A. I., Abushark Y. B. (2023) Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions. Mobile Networks and Applications. 28 (1), 296–312.Kumar M., Kumar A., Verma S. (2023) Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues. Electronics. 12 (9).Kumar M., Kumar A., Verma S. (2023) Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues. Electronics. 12 (9).Tikhomirov S. (2018) Ethereum: State of Knowledge and Research Perspectives. Foundations and Practice of Security: 10th International Symposium. 206–221.Tikhomirov S. (2018) Ethereum: State of Knowledge and Research Perspectives. Foundations and Practice of Security: 10th International Symposium. 206–221.Bahga A., Madisetti V. K. (2016) Blockchain Platform for Industrial Internet of Things. Journal of Software Engineering and Applications. 9 (10), 533–546.Bahga A., Madisetti V. K. (2016) Blockchain Platform for Industrial Internet of Things. Journal of Software Engineering and Applications. 9 (10), 533–546.Vishniakou U. A., YiWei Xia (2023) IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning. Doklady BGUIR. 21 (3), 102–110. http://dx.doi.org/10.35596/1729-7648-2023-21-3-102-110.Vishniakou U. A., YiWei Xia (2023) IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning. Doklady BGUIR. 21 (3), 102–110. http://dx.doi.org/10.35596/1729-7648-2023-21-3-102-110.Vishniakou U. A., YiWei Xia, Chuyue Yu (2023) Technology of Neurological Disease Recognition Using Gated Recurrent Unit Neural Network and Internet of Things. Open Semantic Technologies for Intelligent Systems (OSTIS), Collection of Scientific Papers. Iss. 7. Minsk, Belarusian State University of Informatics and Radioelectronics. 241–246.Vishniakou U. A., YiWei Xia, Chuyue Yu (2023) Technology of Neurological Disease Recognition Using Gated Recurrent Unit Neural Network and Internet of Things. Open Semantic Technologies for Intelligent Systems (OSTIS), Collection of Scientific Papers. Iss. 7. Minsk, Belarusian State University of Informatics and Radioelectronics. 241–246.Vishniakou U. А. (2023) Specialized IoT Systems: Models, Structures, Algorithms, Hardware, Software Tools. Minsk, Belarusian State University of Informatics and Radioelectronics (in Russian).Vishniakou U. А. (2023) Specialized IoT Systems: Models, Structures, Algorithms, Hardware, Software Tools. Minsk, Belarusian State University of Informatics and Radioelectronics (in Russian).Trautwein D., Raman A., Tyson G. (2022) Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web. Proceedings of the ACM SIGCOMM. 739–752.Trautwein D., Raman A., Tyson G. (2022) Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web. Proceedings of the ACM SIGCOMM. 739–752.Node.js. Available: https://www.npackd.org/p/org.nodejs.NodeJS/16.13 (Accessed 23 October 2023).Node.js. Available: https://www.npackd.org/p/org.nodejs.NodeJS/16.13 (Accessed 23 October 2023).Truffle. Available: https://trufflesuite.com/ (Accessed 24 October 2023).Truffle. Available: https://trufflesuite.com/ (Accessed 24 October 2023).

The authors declare that there are no conflicts of interest present.