dc.contributor.author | BUJOR, Alexandru | |
dc.contributor.author | BOZADJI, Artiom | |
dc.contributor.author | GURSCHI, Gheorghe | |
dc.date.accessioned | 2024-10-16T07:36:05Z | |
dc.date.available | 2024-10-16T07:36:05Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | BUJOR, Alexandru; Artiom BOZADJI and Gheorghe GURSCHI. Replay attacks and countermeasures against them. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students, Universitatea Tehnică a Moldovei, 27-29 martie 2024. Chișinău, 2024, vol. 2, pp. 793-796. ISBN 978-9975-64-458-7, ISBN 978 9975-64-460-0 (Vol.2). | en_US |
dc.identifier.isbn | 978-9975-64-458-7 | |
dc.identifier.isbn | 978 9975-64-460-0 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/28081 | |
dc.description.abstract | Voice authentication technology uses an individual's unique voice characteristics for secure identity verification, providing a seamless method to access devices and services. However, it faces challenges in maintaining robustness against security breaches and impersonation attempts. This study examines the effectiveness of voice authentication technology, focusing on its ability to analyze and differentiate between complex voice attributes like pitch, tone, and speech patterns. The study found that advanced voice authentication systems have high accuracy in recognizing and validating users based on voice biometrics, enhancing security for various applications. The findings emphasize the importance of continuous advancements voice authentication technology to counteract evolving security threats and ensure a safer and more reliable user experience across various sectors, including virtual assistants and customer service interfaces. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universitatea Tehnică a Moldovei | en_US |
dc.relation.ispartofseries | Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor = Technical Scientific Conference of Undergraduate, Master and PhD Students: Chişinău, 27-29 martie 2024. Vol. 2; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | convolutional neural networks | en_US |
dc.subject | attack | en_US |
dc.subject | safe access | en_US |
dc.subject | security | en_US |
dc.subject | voice authentication | en_US |
dc.title | Replay attacks and countermeasures against them | en_US |
dc.type | Article | en_US |
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