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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/42096
Title: Vulnerabilities of deep learning biometric voice applications in banking and financial services
Authors: Petrov, S. N.
Elsayed, O. S.
Pulko, T. A.
Keywords: материалы конференций;speech recognition;neural network;voice technologies
Issue Date: 2020
Publisher: БГУИР
Citation: Petrov, S. N. Vulnerabilities of deep learning biometric voice applications in banking and financial services / S. N. Petrov, O. S. Elsayed, T. A. Pulko // Телекоммуникации: сети и технологии, алгебраическое кодирование и безопасность данных = Telecommunications: Networks and Technologies, Algebraic Coding and Data Security : материалы междунар. науч.-техн. семинара, Минск, ноябрь–декабрь 2020 г. / Белорусский государственный университет информатики и радиоэлектроники ; редкол.: М. Н. Бобов [и др.]. – Минск, 2020. – С. 79–81.
Abstract: The analysis of the market of virtual digital voice assistants is carried out. It is established that the popularity of such applications in the fintech industry is growing, especially starting in 2019. Made a review of the most popular voice assistants used in banks. The main vulnerabilities and threats are analyzed.
URI: https://libeldoc.bsuir.by/handle/123456789/42096
Appears in Collections:Телекоммуникации 2020

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