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Risk evaluation for spoofing against a sensor supplied with liveness detection.
Marcela Espinoza1, Christophe Champod
1Institut de Police Scientifique, School of Criminal Sciences, Batochime, University of Lausanne, CH-1015 Lausanne, Switzerland. marcela.espinoza@unil.ch
Forensic Science International
|July 3, 2010
Summary
This study reveals that multispectral sensors can be fooled by fake fingerprints, even those made without subject cooperation. The success of such biometric spoofing depends on fake quality and pattern combinations.
Area of Science:
- Biometrics
- Forensic Science
- Computer Science
Background:
- Livescan devices with liveness detection are crucial for biometric security.
- Optical properties of skin are utilized for liveness detection in some sensors.
- Evaluating vulnerabilities in biometric systems is essential for security advancements.
Purpose of the Study:
- To assess the risks of using fake fingerprints with livescan systems employing optical liveness detection.
- To determine the conditions under which multispectral sensors can be deceived by fake fingerprints.
- To analyze the influence of fake material, mould, and human factors on spoofing success.
Main Methods:
- Utilizing multispectral sensors with varied polarizations and illuminations to capture skin layer information.
- Conducting experiments with fake fingerprints created under different conditions (direct/indirect casts, with/without subject cooperation).
- Analyzing the impact of fake fingerprint quality and pattern combinations on system deception.
Main Results:
- Current multispectral sensors can be successfully deceived by fake fingerprints.
- Fakes created from direct casts are more effective than those from indirect casts.
- Spoofing success is significantly influenced by the quality of the fake fingerprint and the specific combination of patterns used in the attack.
Conclusions:
- Multispectral sensor-based liveness detection is vulnerable to sophisticated fake fingerprint attacks.
- The quality of the fake and the strategic combination of fingerprint patterns are critical factors for successful biometric spoofing.
- Further research is needed to enhance the robustness of liveness detection against advanced spoofing techniques.
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