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Title: I can think like you! Towards reaction spoofing attack on brainwave-based authentication
Authors: Chiu, WY
Meng, WZ
Li, WJ 
Issue Date: 2021
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2021, v. 12382, p. 251-265
Abstract: In the coming period of Internet of Things (IoT), user authentication is one important and essential security mechanism to protect assets from unauthorized access. Textual passwords are the most widely adopted authentication method, but have well-known limitations in the aspects of both security and usability. As an alternative, biometric authentication has attracted much attention, which can verify users based on their biometric features. With the fast development of EEG (electro-encephalography) sensors in current headsets and personal devices, user authentication based on brainwaves becomes feasible. Due to its potential adoption, there is an increasing need to secure such emerging authentication method. In this work, we focus on a brainwave-based computer-screen unlock mechanism, which can validate users based on their brainwave signals when seeing different images. Then, we analyze the security of such brainwave-based scheme and identify a kind of reaction spoofing attack where an attacker can try to imitate the mental reaction (either familiar or unfamiliar) of a legitimate user. In the user study, we show the feasibility and viability of such attack.
Keywords: EEG
Biometric authentication
Brainwave-based unlock
Biometric security
Reaction spoofing attack
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-030-68851-6_18
Description: International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SpaCCS 2020), 18-20 December, 2021, Nanjing, China
Rights: © Springer Nature Switzerland AG 2021
This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http:// Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use
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