Detail publikačního výsledku

Resilience of Voice Assistants to Synthetic Speech

MALINKA, K.; FIRC, A.; KAŠKA, P.; LAPŠANSKÝ, T.; ŠANDOR, O.; HOMOLIAK, I.

Originální název

Resilience of Voice Assistants to Synthetic Speech

Anglický název

Resilience of Voice Assistants to Synthetic Speech

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

With the increasing integration of voice assistants in smart home systems, concerns regarding their security, especially regarding personal information access and physical entry control, have escalated. This is further amplified by the rapid development of generative AI methods, which bring new types of attacks. Therefore, we focus on modern voice assistants and their resilience against deepfake spoofing attacks. We rigorously assess the resistance of smart devices to sophisticated audio impersonation techniques. In detail, we evaluate voice assistants on four devices (Google Assistant, Siri, Bixby, and Alexa) with 72 test subjects. Subsequently, we conduct a comprehensive security analysis to determine the extent of potential impacts stemming from identified vulnerabilities. Our findings contribute to the enhancement of voice assistant security, ensuring safer and more reliable utilization in domestic environments.

Anglický abstrakt

With the increasing integration of voice assistants in smart home systems, concerns regarding their security, especially regarding personal information access and physical entry control, have escalated. This is further amplified by the rapid development of generative AI methods, which bring new types of attacks. Therefore, we focus on modern voice assistants and their resilience against deepfake spoofing attacks. We rigorously assess the resistance of smart devices to sophisticated audio impersonation techniques. In detail, we evaluate voice assistants on four devices (Google Assistant, Siri, Bixby, and Alexa) with 72 test subjects. Subsequently, we conduct a comprehensive security analysis to determine the extent of potential impacts stemming from identified vulnerabilities. Our findings contribute to the enhancement of voice assistant security, ensuring safer and more reliable utilization in domestic environments.

Klíčová slova

Deepfake; Security Analysis; Spoofing Attacks; Voice Assistant; Voice Biometrics

Klíčová slova v angličtině

Deepfake; Security Analysis; Spoofing Attacks; Voice Assistant; Voice Biometrics

Autoři

MALINKA, K.; FIRC, A.; KAŠKA, P.; LAPŠANSKÝ, T.; ŠANDOR, O.; HOMOLIAK, I.

Rok RIV

2025

Vydáno

05.09.2024

Nakladatel

Springer Nature Switzerland AG

Místo

Bydgoszcz

ISBN

978-3-031-70878-7

Kniha

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Strany od

66

Strany do

84

Strany počet

19

URL

https://link.springer.com/chapter/10.1007/978-3-031-70879-4_4

BibTex

@inproceedings{BUT189615,
  author="Kamil {Malinka} and Anton {Firc} and Petr {Kaška} and Tomáš {Lapšanský} and Oskar {Šandor} and Ivan {Homoliak}",
  title="Resilience of Voice Assistants to Synthetic Speech",
  booktitle="Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
  year="2024",
  pages="66--84",
  publisher="Springer Nature Switzerland AG",
  address="Bydgoszcz",
  doi="10.1007/978-3-031-70879-4\{_}4",
  isbn="978-3-031-70878-7",
  url="https://link.springer.com/chapter/10.1007/978-3-031-70879-4_4"
}