Conference proceeding
Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication
Web Information Systems Engineering – WISE 2024: 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part II , pp.258-272
Web Information Systems Engineering – WISE 2024, 25th (Doha, Qatar, 02/12/2024–05/12/2024)
12/2024
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Abstract
Recently, research interest has increasingly focused on the utilization of unobservable physiological signals as distinctive identifiers in biometric systems, which contributes to the enhancement of biometric authentication systems. Photoplethysmography (PPG) signals, favored for their ease of acquisition and integration with machine learning, generally exhibit robust protection against remote adversaries during authentication processes. However, the robustness of PPG signal models to backdoor attacks remains unexplored, and this powerful attack may pose a security threat to PPG-based biometric authentication systems due to its stealthiness. To the best of our knowledge, this paper first proposes a backdoor attack that targets PPG-based biometric authentication, which utilizes our elaborate waveform variations embedded in PPG signals as the backdoor. The compromised PPG-based authentication only behaves maliciously on the attacker-chosen inputs, while it behaves normally on clean inputs. We evaluate this backdoor attack on three popular datasets, showing that our attack successfully embeds and activates the backdoor in the PPG-based authentication. Experiment results on the state-of-the-art PPG-based authentication systems indicate that this first backdoor embedded in PPG signals poses a severe threat to PPG-based biometric authentication.
Details
- Title
- Deceptive Waves: Embedding Malicious Backdoors in PPG Authentication
- Creators
- Zeming Yao - Swinburne University of TechnologyLin Li - RMIT UniversityLeo Yu Zhang - Griffith UniversityFusen Guo - Swinburne University of TechnologyChao Chen - RMIT UniversityJun Zhang - Swinburne University of Technology
- Contributors
- Mahmoud Barhamgi (Editor) - Qatar UniversityXin Wang (Editor) - Tianjin UniversityHua Wang (Editor) - Victoria University
- Publication Details
- Web Information Systems Engineering – WISE 2024: 25th International Conference, Doha, Qatar, December 2–5, 2024, Proceedings, Part II , pp.258-272
- Conference
- Web Information Systems Engineering – WISE 2024, 25th (Doha, Qatar, 02/12/2024–05/12/2024)
- Publisher
- Springer; Singapore
- Number of pages
- 15
- Identifiers
- 991013285342302368
- Copyright
- © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Conference proceeding