GOTCHA: Physical intrusion detection with active acoustic sensing using a smart speaker
dc.contributor.author | Pham , Hoang Quoc Viet | en |
dc.contributor.author | Nguyen, Hoang D. | en |
dc.contributor.author | Roedig, Utz | en |
dc.contributor.funder | Science Foundation Ireland | en |
dc.date.accessioned | 2025-01-17T16:26:48Z | |
dc.date.available | 2025-01-17T16:26:48Z | |
dc.date.issued | 2024 | en |
dc.description.abstract | Voice Assistants (VAs) in the form of smart speakers such as Amazon Alexa, Google Assistant or Apple Siri are now commonplace. Due to their ubiquitous presence they can be useful as home alarm systems. In this work we present the development and evaluation of a novel physical intrusion detection system GOTCHA based on human presence detection with active acoustic sensing. GOTCHA can execute on simple off-the-shelf smart speaker hardware. Periodic audible chirps are employed to gather data which are then processed by a deep autoencoder trained on the acoustic profile of the empty room. As our evaluation shows, GOTCHA achieves promising results of up to 99.2% for the F1-score. Our experiments show that a person can be detected without fail while the system barely generates false alarms. GOTCHA is a viable alternative to passive sensing solutions for physical intrusion detection. | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Accepted Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Pham, H. Q. V., Nguyen, H. D. and Roedig, U. (2024) 'GOTCHA: Physical intrusion detection with active acoustic sensing using a smart speaker', 29th Nordic Conference on Secure IT Systems, Karlstad University, Sweden, 6-7 November, pp. 1-20. | en |
dc.identifier.endpage | 20 | en |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/16844 | |
dc.language.iso | en | en |
dc.publisher | Springer Nature | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Frontiers for the Future::Award/19/FFP/6775/IE/Personal Voice Assistant Security and Privacy/ | en |
dc.relation.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/13/RC/2077_P2/IE/CONNECT_Phase 2/ | en |
dc.rights | © 2024, the Authors. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. | en |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Physical intrusion detection | en |
dc.subject | Active acoustic sensing | en |
dc.subject | Anomaly detection | en |
dc.subject | Autoencoder | en |
dc.subject | Machine learning | en |
dc.subject | Deep learning | en |
dc.title | GOTCHA: Physical intrusion detection with active acoustic sensing using a smart speaker | en |
dc.type | Article (peer-reviewed) | en |
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