research-article

BreathPrint: Breathing Acoustics-based User Authentication

Authors:

Jagmohan Chauhan,

Suranga Seneviratne,

Aruna Seneviratne, and

Youngki LeeAuthors Info & Claims

MobiSys '17: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

June 2017

Pages 278 - 291

https://doi.org/10.1145/3081333.3081355

Published: 16 June 2017 Publication History

Abstract

We propose BreathPrint, a new behavioural biometric signature based on audio features derived from an individual's commonplace breathing gestures. Specifically, BreathPrint uses the audio signatures associated with the three individual gestures: sniff, normal, and deep breathing, which are sufficiently different across individuals. Using these three breathing gestures, we develop the processing pipeline that identifies users via the microphone sensor on smartphones and wearable devices. In BreathPrint, a user performs breathing gestures while holding the device very close to their nose. Using off-the-shelf hardware, we experimentally evaluate the BreathPrint prototype with 10 users, observed over seven days. We show that users can be authenticated reliably with an accuracy of over 94% for all the three breathing gestures in intra-sessions and deep breathing gesture provides the best overall balance between true positives (successful authentication) and false positives (resiliency to directed impersonation and replay attacks). Moreover, we show that this breathing sound based biometric is also robust to some typical changes in both physiological and environmental context, and that it can be applied on multiple smartphone platforms. Early results suggest that breathing based biometrics show promise as either to be used as a secondary authentication modality in a multimodal biometric authentication system or as a user disambiguation technique for some daily lifestyle scenarios.

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Cited By

Karunanethy MTripathi RPanchagnula MRengaswamy R(2024)User authentication system based on human exhaled breath physicsPLOS ONE10.1371/journal.pone.030197119:4(e0301971)Online publication date: 22-Apr-2024
https://doi.org/10.1371/journal.pone.0301971
Zhang YTong PLi SXie YLi MOkoshi TKo JLiKamWa R(2024)Face Recognition In Harsh Conditions: An Acoustic Based ApproachProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661855(1-14)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661855
Xu ZLiu TJiang RHu PGuo ZLiu C(2024)AFaceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435108:1(1-33)Online publication date: 6-Mar-2024
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Index Terms

BreathPrint: Breathing Acoustics-based User Authentication
1. Security and privacy
  1. Security services
    1. Authentication
      1. Biometrics

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cover image ACM Conferences

MobiSys '17: Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services

June 2017

520 pages

ISBN:9781450349284

DOI:10.1145/3081333

General Chairs:
Tanzeem Choudhury
Cornell University, USA
,
Steve Ko
University at Buffalo, USA
,
Program Chairs:
Andrew Campbell
Dartmouth College, USA
,
Deepak Ganesan
University of Massachusetts, USA

Copyright © 2017 ACM.

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Published: 16 June 2017

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MobiSys'17: The 15th Annual International Conference on Mobile Systems, Applications, and Services

June 19 - 23, 2017

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MobiSys '17 Paper Acceptance Rate 34 of 188 submissions, 18%;

Overall Acceptance Rate 274 of 1,679 submissions, 16%

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https://doi.org/10.1371/journal.pone.0301971
Zhang YTong PLi SXie YLi MOkoshi TKo JLiKamWa R(2024)Face Recognition In Harsh Conditions: An Acoustic Based ApproachProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661855(1-14)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661855
Xu ZLiu TJiang RHu PGuo ZLiu C(2024)AFaceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435108:1(1-33)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643510
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