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Bulletin of Abai KazNPU. Series of Physical and Mathematical sciences

An IMPROVED BLOCKCHAIN-BASED IIOT DEVICE AUTHENTICATION ALGORITHM USING BLAKE3 AND SIGNATURE AGGREGATION

Published June 2025

32

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I. Andreev+
FSAEI HE "North-Caucasus Federal University"
https://orcid.org/0009-0007-3617-3439
F. Tebueva+
FSAEI HE "North-Caucasus Federal University"
https://orcid.org/0000-0002-7373-4692
B. Abduraimova+
NAO "Eurasian National University named after L.N. Gumilyov"
https://orcid.org/0000-0003-3913-1895
Д. Satybaldina+
NAO "Eurasian National University named after L.N. Gumilyov"
https://orcid.org/0000-0003-0291-4685
Zh. Boranbai+
NAO "Eurasian National University named after L.N. Gumilyov"
https://orcid.org/0009-0009-4096-3876
FSAEI HE "North-Caucasus Federal University"
FSAEI HE "North-Caucasus Federal University"
NAO "Eurasian National University named after L.N. Gumilyov"
NAO "Eurasian National University named after L.N. Gumilyov"
NAO "Eurasian National University named after L.N. Gumilyov"
Abstract

This paper proposes an improved device authentication algorithm for industrial Internet of Things (IIoT) systems. The proposed algorithm is implemented based on blockchain technology using BLAKE3 hash function, certificateless signature scheme and signature aggregation. Experimental modeling is performed in GNU/Linux environment using simulation of attacks of 3 types: public key spoofing, master key attacks, consensus attacks. The proposed algorithm allows to minimize the computational cost by optimizing hashing and signing operations, and to reduce the volume of transmitted data. Experiments confirmed the resistance of IIoT devices to the selected 3 types of attacks, which makes the algorithm effective for use in real IIoT systems.

pdf (Русский)
Language

Русский

How to Cite

[1]
Andreev И., Tebueva Ф., Abduraimova Б., Satybaldina Д. and Boranbai Ж. 2025. An IMPROVED BLOCKCHAIN-BASED IIOT DEVICE AUTHENTICATION ALGORITHM USING BLAKE3 AND SIGNATURE AGGREGATION. Bulletin of Abai KazNPU. Series of Physical and Mathematical sciences. 90, 2 (Jun. 2025), 175–188. DOI:https://doi.org/10.51889/2959-5894.2025.90.2.015.