Robust Human Face Authentication Leveraging Acoustic Sensing on Smartphones

Zhou, Bing; Xie, Zongxing; Lohokare, Jay; Gao, Ruipeng; Ye, Fan

doi:10.1109/tmc.2020.3048659

Cited by 22 publications

(13 citation statements)

References 30 publications

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“…Kasmi and Esteves [166] achieved a silent attack on speech recognition systems by injecting voice commands modulated in electromagnetic signals into smart devices with earphones or power cords. The recent work [167] has identified two new acoustic features to improve the performance of spoofing attacks. The first feature consists of two cepstrum coefficients and a LogSpec feature extracted from the linear prediction (LP) residual signal.…”

Section: Voice Spoofing Attackmentioning

confidence: 99%

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Huang

Wang

Zou

et al. 2023

J. Comput. Sci. Technol.

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With the increasing pervasiveness of mobile devices such as smartphones, smart TVs, and wearables, smart sensing, transforming the physical world into digital information based on various sensing medias, has drawn researchers' great attention. Among different sensing medias, WiFi and acoustic signals stand out due to their ubiquity and zero hardware cost. Based on different basic principles, researchers have proposed different technologies for sensing applications with WiFi and acoustic signals covering human activity recognition, motion tracking, indoor localization, health monitoring, and the like. To enable readers to get a comprehensive understanding of ubiquitous wireless sensing, we conduct a survey of existing work to introduce their underlying principles, proposed technologies, and practical applications. Besides we also discuss some open issues of this research area. Our survey reals that as a promising research direction, WiFi and acoustic sensing technologies can bring about fancy applications, but still have limitations in hardware restriction, robustness, and applicability.

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Section: Voice Spoofing Attackmentioning

confidence: 99%

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Huang

Wang

Zou

et al. 2023

J. Comput. Sci. Technol.

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“…In [17], the authors augmented behavioral biometric features of HMOG including hand movement, orientation, and grasp with tap characteristics in continuous smartphone authentication, which considerably improved authentication performance. The authors in [58] transformed the landmark pixel coordinates in one camera to any new camera pose to create synthesized training samples for an acoustics and vision based authentication system. In [59], the authors used three data augmentation approaches, i.e.…”

Section: Data Augmentation In Authentication Systemsmentioning

confidence: 99%

Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation

Liu

Qin

et al. 2023

IEEE Trans. on Mobile Comput.

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“…Velody [23] leverages the unique and nonlinear hand-surface vibration response to mitigate the vulnerabilities of static biometrics. EchoPrint [24] uses acoustics and vision for user authentication. Taprint [25] leverages the tapping vibrometers as biometrics to authenticate the user, while distinguishing the tapping locations.…”

Section: Physical Mechanism Based Identity Authenticationmentioning

confidence: 99%

Secure and Efficient Data Transmission Scheme Based on Physical Mechanism

Zhang¹,

Zhu²,

Li³

et al. 2023

Computers, Materials &Amp; Continua

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Many Internet of things application scenarios have the characteristics of limited hardware resources and limited energy supply, which are not suitable for traditional security technology. The security technology based on the physical mechanism has attracted extensive attention. How to improve the key generation rate has always been one of the urgent problems to be solved in the security technology based on the physical mechanism. In this paper, superlattice technology is introduced to the security field of Internet of things, and a high-speed symmetric key generation scheme based on superlattice for Internet of things is proposed. In order to ensure the efficiency and privacy of data transmission, we also combine the superlattice symmetric key and compressive sensing technology to build a lightweight data transmission scheme that supports data compression and data encryption at the same time. Theoretical analysis and experimental evaluation results show that the proposed scheme is superior to the most closely related work.

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Robust Human Face Authentication Leveraging Acoustic Sensing on Smartphones

Cited by 22 publications

References 30 publications

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications

Adaptive Deep Feature Fusion for Continuous Authentication With Data Augmentation

Secure and Efficient Data Transmission Scheme Based on Physical Mechanism

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