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Performance and Usability Evaluation of Brainwave Authentication Techniques with Consumer Devices

Arias-Cabarcos, Patricia; Fallahi, Matin 1; Habrich, Thilo; Schulze, Karen; Becker, Christian; Strufe, Thorsten ORCID iD icon 1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Brainwaves have demonstrated to be unique enough across individuals to be useful as biometrics. They also provide promising advantages over traditional means of authentication, such as resistance to external observability, revocability, and intrinsic liveness detection. However, most of the research so far has been conducted with expensive, bulky, medical-grade helmets, which offer limited applicability for everyday usage. With the aim to bring brainwave authentication and its benefits closer to real world deployment, we investigate brain biometrics with consumer devices. We conduct a comprehensive measurement experiment and user study that compare five authentication tasks on a user sample up to 10 times larger than those from previous studies, introducing three novel techniques based on cognitive semantic processing. Furthermore, we apply our analysis on high-quality open brainwave data obtained with a medical-grade headset, to assess the differences. We investigate both the performance, security, and usability of the different options and use this evidence to elicit design and research recommendations. Our results show that it is possible to achieve Equal Error Rates as low as 7.2% (a reduction between 68-72% with respect to existing approaches) based on brain responses to images with current inexpensive technology. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000154817
Veröffentlicht am 27.11.2023
Originalveröffentlichung
DOI: 10.1145/3579356
Scopus
Zitationen: 2
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Informationssicherheit und Verlässlichkeit (KASTEL)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 08.2023
Sprache Englisch
Identifikator ISSN: 2471-2566, 2471-2574
KITopen-ID: 1000154817
HGF-Programm 46.23.04 (POF IV, LK 01) Engineering Security for Production Systems
Weitere HGF-Programme 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems
Erschienen in ACM Transactions on Privacy and Security
Verlag Association for Computing Machinery (ACM)
Band 26
Heft 3
Seiten Art.-Nr.: 26
Vorab online veröffentlicht am 18.01.2023
Nachgewiesen in Scopus
Dimensions
Web of Science
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