Registration Number
0225U002153,
(0124U000407)
, R & D reports
Title
Research of the resistance of biometric authentication systems to attacks using voice cloning technology based on deep neural networks
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Аналіз біометричних систем голосової автентифікації: вивчення теоретичних аспектів, вразливостей та потенційних атак з клонуванням голосу.
Head
Opirskyi Ivan R., Доктор технічних наук
Registration Date
21-02-2025
Organization
Lviv Polytechnic National University
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The project aims to improve the reliability and security of modern biometric voice authentication systems against attacks using voice cloning technologies. This will allow the development of strategies and protection measures to prevent possible threats in such systems.
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The resilience of biometric voice authentication systems to attacks utilizing voice cloning technology based on deep neural networks has been investigated. Methods for assessing the resilience of biometric authentication systems, active testing algorithms, and attack scenario models considering the use of synthetic voices have been developed. A comparative analysis of text-dependent and text-independent methods has been conducted, enabling the development of adaptive algorithms with improved characteristics. A specialized database containing authentic and synthetic voice samples has been created to model various attack scenarios.
Product Description
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Banakh Roman I.
Borduliak Sviatoslav M.
Brydinskyi Vitalii A.
Dzianyi Nazarii R.
Mykhailova Olha O.
Ruda Khrystyna S.
Sabodashko Dmytro V.
Susukailo Vitalii A.
Khoma Yurii V.
Shved Mariia Ye.
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2026-06-23
