Presentation Attack Detection Evaluation on Mobile Devices: Simplest Approach for Capturing and Lifting a Latent Fingerprint

Goicoechea-Telleria, Ines; Garcia-Peral, Ana; Husseis, Anas; Sánchez-Reillo, Raúl

doi:10.1109/ccst.2018.8585605

Cited by 11 publications

(11 citation statements)

References 2 publications

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“…The effectiveness of this new spoofing technique was confirmed later by [7], in which the authors simulated an attack against five different smartphones by collectiong the latent fingerprints from the device screens. In particular, the technique used by [7] was based on a scanner app to take the picture with flash of the latent fingerprint. The acquired image was then improved by removing the background and other adjustments.…”

Section: Spoofing By Snapshot Pictures Of Latent Printsmentioning

confidence: 84%

“…On the other hand, this kind of attack has a low probability to be executed since it requires the cooperation of the victim; therefore, it can be considered a high-risk attack with a very low probability of execution. Recently, several videos posted on social networks have shown that very good spoofs can be obtained from latent fingerprints, and such spoofs allowed to crack smartphones of famous brands [4,9,7]. Worth noting, the spoofs lifted from latent prints were also investigated in the 2013 edition of LivDet [5].…”

Section: Introductionmentioning

confidence: 99%

“…Recent efforts towards realistic presentation attacks [7] led to the observation that latent traces of fingerprints can be captured by a snapshot picture taken with a smartphone; see for example Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

“…Taking a snapshot picture requires much less time, efforts and technical skills than the standard forensic procedure that develops the latent trace and puts it on a lifting tape. Finally, according to [7], spoofing by snapshots allows to fabricate fake fingers that pass the identity check of several modern smartphones equipped with fingerprint sensors. It is easy to see that if spoofs fabricated with snapshot pictures would be able to evade state-of-art fingerprint liveness detectors, we should reconsider current methods to design and test them.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Casula¹,

Orrù²,

Angioni³

et al. 2020

Preprint

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We investigated the threat level of realistic attacks using latent fingerprints against sensors equipped with state-of-art liveness detectors and fingerprint verification systems which integrate such liveness algorithms. To the best of our knowledge, only a previous investigation was done with spoofs from latent prints. In this paper, we focus on using snapshot pictures of latent fingerprints. These pictures provide molds, that allows, after some digital processing, to fabricate high-quality spoofs. Taking a snapshot picture is much simpler than developing fingerprints left on a surface by magnetic powders and lifting the trace by a tape. What we are interested here is to evaluate preliminary at which extent attacks of the kind can be considered a real threat for state-of-art fingerprint liveness detectors and verification systems. To this aim, we collected a novel data set of live and spoof images fabricated with snapshot pictures of latent fingerprints. This data set provide a set of attacks at the most favourable conditions. We refer to this method and the related data set as "ScreenSpoof". Then, we tested with it the performances of the best liveness detection algorithms, namely, the three winners of the LivDet competition. Reported results point out that the ScreenSpoof method is a threat of the same level, in terms of detection and verification errors, than that of attacks using spoofs fabricated with the full consensus of the victim. We think that this is a notable result, never reported in previous work.

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Section: Spoofing By Snapshot Pictures Of Latent Printsmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Casula¹,

Orrù²,

Angioni³

et al. 2020

Preprint

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show abstract

“…They provide the possibility of integrating fingerprint with GPS via Arduino and achieved 1.39 seconds average response time. Goicoechea-Telleria et al [11] investigate how fingerprint adoption in smartphones becomes a worry some due to sensor issues. Hwang et al [12] provide a template for achieving higher accuracy in fingerprint recognition for mobile devices.…”

Section: 1fingerprint Biometric Authenticationmentioning

confidence: 99%

A survey of biometric approaches of authentication

Yusuf¹,

Marafa²,

Shehu³

et al. 2020

IJACR

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Information security refers to a means of preventing unauthorized users from access to information. Risk management usually adopts in information security to provide solutions to security challenges by minimizing risks.Risk can be minimized by administrative control and defense mechanisms. Access control can also enforce the user right access and thereby minimizing risks. Authentication is one of the techniques used in access control systems to protect unauthorized access. Many approaches for authentication have been proposed to address security challenges. These approaches have a conflict with the system usability and therefore required the modification of tradition password techniques for better solutions. Information Authentication is the common method used by security experts to verify the users' identities before getting access right into the system. Access controls are enforced for all users, irrespective of categories they belong. Traditional authentication methods [1] were enough to protect the unauthorized access right as many security breaches were reported. Therefore, advanced security methods that are based on human features required.

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A Survey in Presentation Attack and Presentation Attack Detection

Husseis

Liu-Jimenez

Goicoechea-Telleria

et al. 2019

2019 International Carnahan Conference on Security Technology (ICCST)

Self Cite

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In the last few decades, we have witnessed a large-scale deployment of biometric systems in different life applications replacing the traditional recognition methods such as passwords and tokens. We approached a time where we use biometric systems in our daily life. On a personal scale, the authentication to our electronic devices (smartphones, tablets, laptops, etc.) utilizes biometric characteristics to provide access permission. Moreover, we access our bank accounts, perform various types of payments and transactions using the biometric sensors integrated into our devices. On the other hand, different organizations, companies, and institutions use biometric-based solutions for access control. On the national scale, police authorities and border control measures use biometric recognition devices for individual identification and verification purposes.

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Presentation Attack Detection Evaluation on Mobile Devices: Simplest Approach for Capturing and Lifting a Latent Fingerprint

Cited by 11 publications

References 2 publications

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

A survey of biometric approaches of authentication

A Survey in Presentation Attack and Presentation Attack Detection

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