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Крылов, Григорий Олегович

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Институт финансовых технологий и экономической безопасности
Институт финансовых технологий и экономической безопасности (ИФТЭБ) Национального исследовательского ядерного университета "МИФИ" готовит кадры в интересах национальной системы по противодействию легализации (отмыванию) доходов, полученных преступным путем, и финансированию терроризма (ПОД/ФТ). Междисциплинарность образования позволит выпускникам ИФТЭБ НИЯУ МИФИ легко адаптироваться на современном рынке труда и в бизнес-среде.
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Григорий Олегович
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  • Публикация
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    Международные проблемы безопасности распространения технологии блокчейн и криптовалюты
    (Прометей, 2022) Крылов, Г. О.; Крылов, Григорий Олегович
    Издание подготовлено в дополнение к учебным пособиям по курсу «Топологический анализ в финансовом мониторинге», предусмотренным учебными планами Департамента информационной безопасности Финансового университета при Правительстве Российской федерации, кафедры Финансового мониторинга НИЯУ МИФИ и кафедрами других вузов. Издание предназначено для студентов, аспирантов, научных сотрудников и специалистов в сфере информационной безопасности, противодействия отмыванию денег и финансирования терроризма.
  • Публикация
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    Neural network data processing for financial insolvency fore-casting of the water supply enterprises
    (2021) Krylov, G. O.; Vorobeva, A. S.; Nikolaeva, M. V.; Крылов, Григорий Олегович
    © Published under licence by IOP Publishing Ltd.This work is devoted to creation of neural network methods with the increased stability and reliability for bankruptcy forecasting. In this paper, we investigate the performance of four different neural network (NN) methods for bankruptcy prediction of the resource provisioning system enterprises. Two methods based on NN-ensembles of classifiers (boosting-ensembles and bagging-ensembles) and another two tested methods are stand-alone classifiers (multilayer perceptron (MLP) and network of radial basic functions). We defined that bagging-ensembles of neural networks have advantage in comparison with classical - stand-alone classifiers. Developed bagging-ensemble of neural networks is currently used to the sphere of financial monitoring for identification of signs of financial insolvency of the water supply enterprises and assessment of risk of social tension in regions.
  • Публикация
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    Международный опыт правового регулирования информационной безопасности и его применение в Российской Федерации
    (МИФИ, 2007) Крылов, Г. О.; Крылов, Григорий Олегович; Морозов, А. В.
  • Публикация
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    Current state and development trends of blockchain technology in the financial sector
    (2019) Seleznev, V. M.; Krylov, G. O.; Крылов, Григорий Олегович
    © 2018 Finance: Theory and Practice. All rights reserved.The article analyzes the main reasons for the slow adoption of blockchain technology, in particular, in the financial sector. The authors critically analyzed the main declared properties of blockchain technologies: Trust, security, decentralization, immutable data storage, lack of intermediaries, hardware protection against attacks, and openness. The aim of the study are to show that these blockchain properties are overestimated, the expectations of its adoption are inflated, and the delays in its adaptation outside of cryptocurrencies, in particular, in the financial sector, are natural. The article is based on a methodology for the qualitative and quantitative analysis of scientific publications and statistical sources on the blockchain adaptation from the perspective of the theory of diffusion of innovations, the conditions and the specifics of economic and sociological approaches for consensus-building. The study resulted in the following new systemic findings. Blockchain and distributed ledgers are not fundamentally new technologies. In general, they do not have the properties of the immutable data storage, trust, anonymity, low transaction and adoption costs. All current consensus technologies have fundamental faults. Cryptocurrency technology is original, but it was a private experimental solution to a specific ideological problem of the libertarian political agenda. Consensus does not provide trust. Delayed blockchain adoption, in particular in traditional financial institutions, is natural, since the technology does not show better results than current digital solutions, and traditional economic institutions have greater public trust. The practical implications of the findings are that they may be used by investors.
  • Публикация
    Открытый доступ
    Integration of distributed ledger technology into software electronic signature exchange service
    (2020) Krylov, G.; Gaybatova, A.; Davydenko, V.; Grigoryan, A.; Крылов, Григорий Олегович; Рычкова, Валентина Ивановна
    © 2020 The Authors. Published by Elsevier B.V.Object of the research: Information storage, transmission and processing systems. Subject of the research: Approaches to implementing the distributed ledger technology, in particular, the blockchain technology, as well as implementation issues and feasibility. Purpose of the work: Enhancing the safety of data storage, transmission and processing by embedding distributed ledgers in the existing information system. Research methods: The theoretical and analytical research is supposed to underlie the study of the experience building upon the current application and possible options for boosting the potential of the distributed ledger technology, in particular, the blockchain technology. Scientific novelty. The results of the research are supposed to be used to issue proposals and recommendations on how to improve the security of data storage and processing through the use of distributed ledger technology. Practical importance. Practical perspectives consist in the fact that the discussed process of developing and implementing a distributed system simplifies further integration of the technology under consideration with the resulting blockchain service enabling data storage inside a non-modifiable registry.