Personal Voice Assistant wake word jamming

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dc.contributor.authorSagi, Prathyushaen
dc.contributor.authorSankar, Arunen
dc.contributor.authorRoedig, Utzen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2024-05-28T10:00:42Z
dc.date.available2024-05-28T10:00:42Z
dc.date.issued2024-04-23en
dc.description.abstractPersonal Voice Assistants (PVAs) such as Apple’s Siri, Amazon’s Alexa and Google Home are now ubiquitous. These devices continuously listen for a wake word that users speak to start interaction with the device. If this wake word recognition is disrupted, the device is not usable anymore. The wake word detection can be impeded by acoustic interference. Interference might be noise (e.g. background music, chatter, engine sounds) or a deliberate acoustic jamming signal. While wake word recognition algorithms might be designed with resilience against noise in mind they are usually not prepared to handle an attacker using a jamming signal. This work provides the first detailed study of acoustic Denial of Service (DoS) jamming attacks on the PVA wake word detection. We describe how a jamming signal should be designed such that wake word detection is jeopardised effectively while minimising jamming effort and jamming detectability. We study the impact of various noise features such as signal type, strength, timing, duration, frequency and bandwidth. Our work shows that accurately timed signals with a very short duration of only 2ms can prevent PVA operations reliablyen
dc.description.sponsorshipScience Foundation Ireland (13/RC/2077 P2)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSagi, P., Sankar, A. and Roedig, U. (2024) 'Personal Voice Assistant wake word jamming', 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Biarritz, France, 11-15 March 2024, pp. 19-24. https://doi.org/10.1109/PerComWorkshops59983.2024.10503529en
dc.identifier.doi10.1109/PerComWorkshops59983.2024.10503529en
dc.identifier.eissn2766-8576en
dc.identifier.endpage24en
dc.identifier.isbn979-8-3503-0436-7en
dc.identifier.isbn979-8-3503-0437-4en
dc.identifier.issn2836-5348en
dc.identifier.startpage19en
dc.identifier.urihttps://hdl.handle.net/10468/15922
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Biarritz, France, 11-15 March 2024en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Frontiers for the Future::Award/19/FFP/6775/IE/Personal Voice Assistant Security and Privacy/en
dc.rights© 2024, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectPervasive computingen
dc.subjectConferencesen
dc.subjectNoiseen
dc.subjectPersonal voice assistantsen
dc.subjectInterferenceen
dc.subjectAcousticsen
dc.subjectTimingen
dc.titlePersonal Voice Assistant wake word jammingen
dc.typeConference itemen
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