An approach to improving the security of remote authentication systems

This paper improves the efficiency and security of remote biometric authentication in telecommunication networks. Using Saati Hierarchy Analysis, iris recognition was identified as the optimal biometric method based on interference immunity and error rates. Biometric template protection was enhanced by selecting BIN-SALT and BIN-COMBO methods for their accuracy and noise resistance. For secure data transmission, ICMP header steganography was chosen. LTE channel simulations with MIMO and AWGN demonstrated that 16QAM modulation, lower code rates, and 4×4 MIMO configurations improve robustness. The combined approach significantly increases the accuracy and resilience of remote biometric authentication systems.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/blackseacom65655.2025.11193903
Primary Topic
Economic and Technological Systems Analysis
Type
article
Field-Weighted Citation Impact
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article

An approach to improving the security of remote authentication systems

Ievgeniia Kuzminykh, Larysa Globa, Andrii Astrakhantsev, Galyna Liashenko
Economic and Technological Systems Analysis
article

An approach to improving the security of remote authentication systems

Ievgeniia Kuzminykh, Larysa Globa, Andrii Astrakhantsev, Galyna Liashenko
article en

Abstract

This paper improves the efficiency and security of remote biometric authentication in telecommunication networks. Using Saati Hierarchy Analysis, iris recognition was identified as the optimal biometric method based on interference immunity and error rates. Biometric template protection was enhanced by selecting BIN-SALT and BIN-COMBO methods for their accuracy and noise resistance. For secure data transmission, ICMP header steganography was chosen. LTE channel simulations with MIMO and AWGN demonstrated that 16QAM modulation, lower code rates, and 4×4 MIMO configurations improve robustness. The combined approach significantly increases the accuracy and resilience of remote biometric authentication systems.

Kharkiv National University of Radio Electronics (UA), King's College London (GB), National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” (UA), V. N. Karazin Kharkiv National University (UA)
Openalex Percentile: Top 62%
Economic and Technological Systems Analysis
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