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Efficient Application of Multi-Layer Data Processing with PBFT and RAFT for Transaction Forecasting Using LSTM. / Bogdanov, Alexander; Kiyamov, Jasur; Khvatov, Valery; Dik, Gennady; Dik, Aleksandr; Savkov, Egor; Shchegolev, Aleksandr.

Computational Science and Its Applications -- ICCSA 2025 Workshops. ed. / Osvaldo Gervasi; Beniamino Murgante; Chiara Garau; Yeliz Karaca; Maria Noelia Faginas Lago; Francesco Scorza; Ana Cristina Braga. Cham : Springer Nature, 2025. p. 103-114 (Lecture Notes in Computer Science; Vol. 15887 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Bogdanov, A, Kiyamov, J, Khvatov, V, Dik, G, Dik, A, Savkov, E & Shchegolev, A 2025, Efficient Application of Multi-Layer Data Processing with PBFT and RAFT for Transaction Forecasting Using LSTM. in O Gervasi, B Murgante, C Garau, Y Karaca, MN Faginas Lago, F Scorza & AC Braga (eds), Computational Science and Its Applications -- ICCSA 2025 Workshops. Lecture Notes in Computer Science, vol. 15887 LNCS, Springer Nature, Cham, pp. 103-114, Computational Science and Its Applications – ICCSA 2025 Workshops, Istanbul, Turkey, 30/06/25. https://doi.org/10.1007/978-3-031-97589-9_8

APA

Bogdanov, A., Kiyamov, J., Khvatov, V., Dik, G., Dik, A., Savkov, E., & Shchegolev, A. (2025). Efficient Application of Multi-Layer Data Processing with PBFT and RAFT for Transaction Forecasting Using LSTM. In O. Gervasi, B. Murgante, C. Garau, Y. Karaca, M. N. Faginas Lago, F. Scorza, & A. C. Braga (Eds.), Computational Science and Its Applications -- ICCSA 2025 Workshops (pp. 103-114). (Lecture Notes in Computer Science; Vol. 15887 LNCS). Springer Nature. https://doi.org/10.1007/978-3-031-97589-9_8

Vancouver

Bogdanov A, Kiyamov J, Khvatov V, Dik G, Dik A, Savkov E et al. Efficient Application of Multi-Layer Data Processing with PBFT and RAFT for Transaction Forecasting Using LSTM. In Gervasi O, Murgante B, Garau C, Karaca Y, Faginas Lago MN, Scorza F, Braga AC, editors, Computational Science and Its Applications -- ICCSA 2025 Workshops. Cham: Springer Nature. 2025. p. 103-114. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-031-97589-9_8

Author

Bogdanov, Alexander ; Kiyamov, Jasur ; Khvatov, Valery ; Dik, Gennady ; Dik, Aleksandr ; Savkov, Egor ; Shchegolev, Aleksandr. / Efficient Application of Multi-Layer Data Processing with PBFT and RAFT for Transaction Forecasting Using LSTM. Computational Science and Its Applications -- ICCSA 2025 Workshops. editor / Osvaldo Gervasi ; Beniamino Murgante ; Chiara Garau ; Yeliz Karaca ; Maria Noelia Faginas Lago ; Francesco Scorza ; Ana Cristina Braga. Cham : Springer Nature, 2025. pp. 103-114 (Lecture Notes in Computer Science).

BibTeX

@inproceedings{ffacab66eb4d4b0d8181820c9fe915d5,
title = "Efficient Application of Multi-Layer Data Processing with PBFT and RAFT for Transaction Forecasting Using LSTM",
abstract = "The article considers approaches to multi-level data processing using the Practical Byzantine Fault Tolerance (PBFT) and Reliable, Replicated, and Fault-Tolerant (RAFT) consensus algorithms. Their application for organizing efficient processing and aggregation of transactional data in distributed systems is analyzed. The main focus is on the use of recurrent neural networks with long short-term memory (LSTM) for predicting transactions based on data processed by PBFT and RAFT. The results of experiments on improving the accuracy of predictions taking into account various consensus strategies are presented.",
keywords = "Blockchain, Consensus Algorithms, Deep Learning, LSTM, PBFT, RAFT",
author = "Alexander Bogdanov and Jasur Kiyamov and Valery Khvatov and Gennady Dik and Aleksandr Dik and Egor Savkov and Aleksandr Shchegolev",
year = "2025",
doi = "10.1007/978-3-031-97589-9_8",
language = "English",
isbn = "978-3-031-97589-9",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "103--114",
editor = "Osvaldo Gervasi and Beniamino Murgante and Chiara Garau and Yeliz Karaca and {Faginas Lago}, {Maria Noelia} and Francesco Scorza and Braga, {Ana Cristina}",
booktitle = "Computational Science and Its Applications -- ICCSA 2025 Workshops",
address = "Germany",
note = "Computational Science and Its Applications – ICCSA 2025 Workshops ; Conference date: 30-06-2025 Through 03-07-2025",

}

RIS

TY - GEN

T1 - Efficient Application of Multi-Layer Data Processing with PBFT and RAFT for Transaction Forecasting Using LSTM

AU - Bogdanov, Alexander

AU - Kiyamov, Jasur

AU - Khvatov, Valery

AU - Dik, Gennady

AU - Dik, Aleksandr

AU - Savkov, Egor

AU - Shchegolev, Aleksandr

PY - 2025

Y1 - 2025

N2 - The article considers approaches to multi-level data processing using the Practical Byzantine Fault Tolerance (PBFT) and Reliable, Replicated, and Fault-Tolerant (RAFT) consensus algorithms. Their application for organizing efficient processing and aggregation of transactional data in distributed systems is analyzed. The main focus is on the use of recurrent neural networks with long short-term memory (LSTM) for predicting transactions based on data processed by PBFT and RAFT. The results of experiments on improving the accuracy of predictions taking into account various consensus strategies are presented.

AB - The article considers approaches to multi-level data processing using the Practical Byzantine Fault Tolerance (PBFT) and Reliable, Replicated, and Fault-Tolerant (RAFT) consensus algorithms. Their application for organizing efficient processing and aggregation of transactional data in distributed systems is analyzed. The main focus is on the use of recurrent neural networks with long short-term memory (LSTM) for predicting transactions based on data processed by PBFT and RAFT. The results of experiments on improving the accuracy of predictions taking into account various consensus strategies are presented.

KW - Blockchain

KW - Consensus Algorithms

KW - Deep Learning

KW - LSTM

KW - PBFT

KW - RAFT

UR - https://www.mendeley.com/catalogue/8ae2639f-4080-38c9-9ea8-44bdd90e148a/

U2 - 10.1007/978-3-031-97589-9_8

DO - 10.1007/978-3-031-97589-9_8

M3 - Conference contribution

SN - 978-3-031-97589-9

T3 - Lecture Notes in Computer Science

SP - 103

EP - 114

BT - Computational Science and Its Applications -- ICCSA 2025 Workshops

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Garau, Chiara

A2 - Karaca, Yeliz

A2 - Faginas Lago, Maria Noelia

A2 - Scorza, Francesco

A2 - Braga, Ana Cristina

PB - Springer Nature

CY - Cham

T2 - Computational Science and Its Applications – ICCSA 2025 Workshops

Y2 - 30 June 2025 through 3 July 2025

ER -

ID: 139439753