Journal Highly available systems №2 for 2026 year
Cybersecurity of systems implementing data intensive domains. Ensuring trust in DID-systems using artificial intelligence and machine learning technologies

V.I. Budzko1, V.G. Belenkov2

1, 2 Federal Research Center «Computer Science» of the Russian Academy Sciences (Moscow, Russia)
1 vbudzko@frccsc.ru, 2 vbelenkov@frccsc.ru

5-17
Approximate analytical synthesis of nonlinear stochastic systems with high availability by mean square criterion

I.N. Sinitsyn1, V.I. Sinitsyn2, E.R. Korepanov3, T.D. Konashenkova4

1−4 Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)
1 sinitsin@dol.ru, 2 vsinitsin@frccsc.ru, 3 ekorepanov@frccsc.ru, 4 tkonashenkova64@mail.ru

18-32
Word sense disambiguation by large language models

D.A. Bakhmatov1, V.V. Vakulenko2, I.M. Zatsman3

1 Lomonosov Moscow State University (Moscow, Russia)
2, 3 FRC «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)
1 bahdan2013@yandex.ru, 2 v@vvak.ru, 3 izatsman@yandex.ru

33-39
Digital twins, virtual reality and augmented reality in the task of ensuring long-term preservation of documents

A.V. Solovyev1

1 Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)
1 soloviev@isa.ru

40-51
The review of standardized approaches to applying system analysis methods

A.I. Kostogryzov1

1 FRC «Computer Science and Control» оf the Russian Academy of Sciences (Moscow, Russia)
1 akostogryzov@frccsc.ru

52-70
A machine learning model for detecting anomalies in smart contracts based on graph neural networks and LSTM

A.A. Ishmukhamedov1, I.A. Tarkhanov2

1 National University of Science and Technology «MISiS» (Moscow, Russia)
2 State Academic University for Humanities (Moscow, Russia)
2 Federal Research Center «Computer Science and Control» of the Russian Academy of Sciences (Moscow, Russia)
1 fesevu@gmail.com, 2 itarhanov@frccsc.ru

71-82
HaRuCo: A new Russian-language corpus of popular science texts with coreference annotation

R.D. Shuvalov1, E.A. Sidorova2

1 Novosibirsk State University (Novosibirsk, Russia)
2 A.P. Ershov Institute of Informatics Systems, Siberian Branch of the Russian Academy of Sciences (Novosibirsk, Russia)
1 r.shuvalov@g.nsu.ru, 2 lsidorova@iis.nsk.su

83-88
Construction and use of tensor analog of quadratic dynamical systems for bifurcation prediction

A.V. Volosova1, K.S. Myshenkov2, S.W. Panjukova3

1–3 Bauman Moscow State Technical University (Moscow, Russia)
1 volosova@bmstu.ru, 2 myshenkovks@bmstu.ru, 3 Panyukova@bmstu.ru

89-108
A game-theoretic method for constructing training samples for machine learning models in cybersecurity

S.D. Erokhin1, B.B. Borisenko2, A.S. Fadeev3, Yu.A. Konysheva4

1–3 MTUCI (Moscow, Russia)
4 RTU MIREA (Moscow, Russia)
1 esd@mtuci.ru, 2 fepem@yandex.ru, 3 aleksandr-sml@mail.ru, 4 konysheva@mirea.ru

109-118