Multimodal fusion vulnerability to non-zero effort (spoof) imposters

Johnson, Peter A.; Tan, Bozhao; Schuckers, Stephanie

doi:10.1109/wifs.2010.5711469

Cited by 53 publications

(92 citation statements)

References 10 publications

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“…The findings in [8], [9] and [10] indicate that fingerprint authentication systems suffer from a similar weakness. The same shortcoming on iris recognition systems has been diagnosed [11][12][13]. Finally, in [14] and [15], the spoofing attacks to speaker biometrics are addressed.…”

Section: Introductionmentioning

confidence: 99%

Face liveness detection using dynamic texture

et al. 2014

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User authentication is an important step to protect information, and in this context, face biometrics is potentially advantageous. Face biometrics is natural, intuitive, easy to use, and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using cheap low-tech equipment. This paper introduces a novel and appealing approach to detect face spoofing using the spatiotemporal (dynamic texture) extensions of the highly popular local binary pattern operator. The key idea of the approach is to learn and detect the structure and the dynamics of the facial micro-textures that characterise real faces but not fake ones. We evaluated the approach with two publicly available databases (Replay-Attack Database and CASIA Face Anti-Spoofing Database). The results show that our approach performs better than state-of-the-art techniques following the provided evaluation protocols of each database.

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Section: Introductionmentioning

confidence: 99%

Face liveness detection using dynamic texture

et al. 2014

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“…However, Rodrigues et al [18] showed that such systems are even less secure if one of the biometric traits can be spoofed. Subsequently, Johnson et al [19], Akhtar et al [20], Marasco et al [21] proposed fusion methods more robust against spoofing attempts.…”

Section: Related Workmentioning

confidence: 99%

BiometricJammer: Method to Prevent Acquisition of Biometric Information by Surreptitious Photography on Fingerprints

Echizen

Ogane

2018

IEICE Trans. Inf. & Syst.

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SUMMARYAdvances in fingerprint authentication technology have led to it being used in a growing range of personal devices such as PCs and smartphones. However, they have also made it possible to capture fingerprints remotely with a digital camera, putting the target person at risk of illegal log-ins and identity theft. This article shows how fingerprint captured in this manner can be authenticated and how people can protect their fingerprints against surreptitious photography. First we show that photographed fingerprints have enough information to spoof fingerprint authentication systems by demonstrating with "fake fingers" made from such photographs. Then we present a method that defeats the use of surreptitious photography without preventing the use of legitimate fingerprint authentication devices. Finally, we demonstrate that an implementation of the proposed method called "BiometricJammer," a wearable device put on a fingertip, can effectively prevent the illegal acquisition of fingerprints by surreptitious photography while still enabling contact-based fingerprint sensors to respond normally.

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“…[23], [14] and [18] indicate that fingerprint authentication systems suffer from similar weakness. [11], [12] and [19] diagnose the same shortcoming on iris recognition systems. Finally, [5] and [7] address spoofing attacks to speaker biometrics.…”

Section: Introductionmentioning

confidence: 99%

LBP − TOP Based Countermeasure against Face Spoofing Attacks

Pereira

Anjos

Martino

et al. 2013

Computer Vision - ACCV 2012 Workshops

178

113

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Abstract. User authentication is an important step to protect information and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech cheap equipments. This article presents a countermeasure against such attacks based on the LBP − T OP operator combining both space and time information into a single multiresolution texture descriptor. Experiments carried out with the REPLAY ATTACK database show a Half Total Error Rate (HT ER) improvement from 15.16% to 7.60%.

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Multimodal fusion vulnerability to non-zero effort (spoof) imposters

Cited by 53 publications

References 10 publications

Face liveness detection using dynamic texture

Face liveness detection using dynamic texture

BiometricJammer: Method to Prevent Acquisition of Biometric Information by Surreptitious Photography on Fingerprints

LBP − TOP Based Countermeasure against Face Spoofing Attacks

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