Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure

The paper addresses the challenge of ensuring the integrity of AI training data by integrating distributed ledger systems with blockchain technology, leveraging cryptographic methods and federal AI training techniques. Ensuring the confidentiality of data and its protection from falsification, modif...

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Главные авторы:	Suyunova, G. B., Суюнова, Г. Б.
Формат:	Статья
Язык:	English
Опубликовано:	Springer Nature 2025
Темы:	Artificial intelligence Timestamps Blockchain technology Federal training Cryptography Hashing
Online-ссылка:	https://dspace.ncfu.ru/handle/123456789/30673
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spelling	ir-123456789-306732025-07-02T13:06:35Z Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure Suyunova, G. B. Суюнова, Г. Б. Artificial intelligence Timestamps Blockchain technology Federal training Cryptography Hashing The paper addresses the challenge of ensuring the integrity of AI training data by integrating distributed ledger systems with blockchain technology, leveraging cryptographic methods and federal AI training techniques. Ensuring the confidentiality of data and its protection from falsification, modification, and destruction is currently an important task in producing AI systems. Thus, the solution to the above-listed tasks in terms of ensuring information security of data in all their variety is rather relevant. The paper identifies five key “ifs” that define the properties a distributed ledger system using blockchain technology must possess. From this, five imperative principles, with unique characteristics not found in existing systems, have been developed for designing such systems. The inclusion of timestamps in the protocols of a notary cryptographer, in the form of an additional hash linked to the main hash that connects blocks within a peer-to-peer network, is considered valuable for transparent control of document creation time by all participants in the blockchain network. The use of timestamps alongside traditional cryptographic authentication and identification technologies, which ensure subscriber trust, is shown to be beneficial. This method enables all network participants to verify the “freshness” of the information provided by other subscribers. 2025-07-02T13:05:37Z 2025-07-02T13:05:37Z 2025 Статья Zaitsev S.V., Kutovoy I.N., Makarov A.M., Razhina I.N., Suyunova G.B. Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure // Advances in Science, Technology and Innovation. - 2025. - Part F487. - pp. 181 - 185. - DOI: 10.1007/978-3-031-83331-1_30 https://dspace.ncfu.ru/handle/123456789/30673 en Advances in Science, Technology and Innovation application/pdf Springer Nature
institution	СКФУ
collection	Репозиторий
language	English
topic	Artificial intelligence Timestamps Blockchain technology Federal training Cryptography Hashing
spellingShingle	Artificial intelligence Timestamps Blockchain technology Federal training Cryptography Hashing Suyunova, G. B. Суюнова, Г. Б. Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure
description	The paper addresses the challenge of ensuring the integrity of AI training data by integrating distributed ledger systems with blockchain technology, leveraging cryptographic methods and federal AI training techniques. Ensuring the confidentiality of data and its protection from falsification, modification, and destruction is currently an important task in producing AI systems. Thus, the solution to the above-listed tasks in terms of ensuring information security of data in all their variety is rather relevant. The paper identifies five key “ifs” that define the properties a distributed ledger system using blockchain technology must possess. From this, five imperative principles, with unique characteristics not found in existing systems, have been developed for designing such systems. The inclusion of timestamps in the protocols of a notary cryptographer, in the form of an additional hash linked to the main hash that connects blocks within a peer-to-peer network, is considered valuable for transparent control of document creation time by all participants in the blockchain network. The use of timestamps alongside traditional cryptographic authentication and identification technologies, which ensure subscriber trust, is shown to be beneficial. This method enables all network participants to verify the “freshness” of the information provided by other subscribers.
format	Статья
author	Suyunova, G. B. Суюнова, Г. Б.
author_facet	Suyunova, G. B. Суюнова, Г. Б.
author_sort	Suyunova, G. B.
title	Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure
title_short	Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure
title_full	Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure
title_fullStr	Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure
title_full_unstemmed	Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure
title_sort	prospects for combining distributed ledger technology (blockchain technology) and the process of federal machine training of artificial intelligence (ai) in the form of a unified information-protected structure
publisher	Springer Nature
publishDate	2025
url	https://dspace.ncfu.ru/handle/123456789/30673
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Prospects for Combining Distributed Ledger Technology (Blockchain Technology) and the Process of Federal Machine Training of Artificial Intelligence (AI) in the Form of a Unified Information-Protected Structure

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