Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems

09/06/2016
by   Battista Biggio, et al.
0

Prior work has shown that multibiometric systems are vulnerable to presentation attacks, assuming that their matching score distribution is identical to that of genuine users, without fabricating any fake trait. We have recently shown that this assumption is not representative of current fingerprint and face presentation attacks, leading one to overestimate the vulnerability of multibiometric systems, and to design less effective fusion rules. In this paper, we overcome these limitations by proposing a statistical meta-model of face and fingerprint presentation attacks that characterizes a wider family of fake score distributions, including distributions of known and, potentially, unknown attacks. This allows us to perform a thorough security evaluation of multibiometric systems against presentation attacks, quantifying how their vulnerability may vary also under attacks that are different from those considered during design, through an uncertainty analysis. We empirically show that our approach can reliably predict the performance of multibiometric systems even under never-before-seen face and fingerprint presentation attacks, and that the secure fusion rules designed using our approach can exhibit an improved trade-off between the performance in the absence and in the presence of attack. We finally argue that our method can be extended to other biometrics besides faces and fingerprints.

READ FULL TEXT

page 6

page 11

page 14

research
12/01/2020

Enabling Fingerprint Presentation Attacks: Fake Fingerprint Fabrication Techniques and Recognition Performance

Fake fingerprint representation pose a severe threat for fingerprint bas...
research
07/11/2022

On the vulnerability of fingerprint verification systems to fake fingerprint attacks

A new method to generate gummy fingers is presented. A medium-size fake ...
research
08/19/2023

DyFFPAD: Dynamic Fusion of Convolutional and Handcrafted Features for Fingerprint Presentation Attack Detection

Automatic fingerprint recognition systems suffer from the threat of pres...
research
07/04/2023

Deep Features for Contactless Fingerprint Presentation Attack Detection: Can They Be Generalized?

The rapid evolution of high-end smartphones with advanced high-resolutio...
research
04/03/2023

What You See is Not What You Get: The Role of Email Presentation in Phishing Susceptibility

Phishing is one of the most prevalent social engineering attacks that ta...
research
07/18/2019

Analysis of "User-Specific Effect" and Impact of Operator Skills on Fingerprint PAD Systems

Fingerprint Liveness detection, or presentation attacks detection (PAD),...

Please sign up or login with your details

Forgot password? Click here to reset